CAA Poland tomorrow

June 7, 2013

caapolandDear Polish and less-Polish friends! Tomorrow a new CAA chapter will have it’s inaugural meeting: CAA Poland is born! The line-up sounds great, although a few more vowels would be welcome :) Philip Verhagen will give a keynote presentation and Iza Romanowska might make a guest appearance with a recorded remote presentation. Check out the CAA Poland Facebook group for more information. Let’s go to Poland all!

Program konferencji:

9.30 – 10.00 rejestracja uczestników
10.00 – 10.10 inauguracja konferencji
10.10 – 10.30 CAA International i CAA oddział Polska – wprowadzenie
10.30 – 11.15 wykład gościnny: dr J.W.H.P. (Philip) Verhagen, Faculteit der Letteren (oudheid), Vrije Universiteit Amsterdam

11.15 – 11.30 przerwa kawowa

PANEL I: Panel ekspercki

11.30 – 11.50 dr A. Prinke (Muzeum Archeologiczne w Poznaniu) OD OŚMIOBITOWCA DO PROJEKTÓW EUROPEJSKICH”: Dorobek Muzeum Archeologicznego w Poznaniu na polu komputeryzacji”
11.50 – 12.10 mgr inż. P. Kaczmarek (Esri Polska /Fundacja Centrum GeoHistorii) Mój poligon doświadczeń z historią i archeologią czyli świat oczami GISowca
12.10 – 12.30 mgr J. D. Mejor (Biblioteka Narodowa) Stan digitalizacji w sektorze Bibliotek
12.30 – 12.45 dyskusja
12.45 – 13.00 przerwa

PANEL II: LiDAR

13.00 – 13.20 mgr M. Legut – Pintal, mgr Ł. Pintal (Politechnika Wrocławska) Perspektywy wykorzystania danych pozyskanych w programie ISOK w prospekcji archeologicznej. Przykład założeń
obronnych dorzecza Nysy Kłodzkiej
13.20 – 13.40 K. Hanus (Uniwersytet Jagielloński/ University of Sydney) Optymalizacja przetwarzania danych LiDAR pozyskanych w trakcie badań nad cywilizacjami lasu tropikalnego
13.40 – 14.00 M. Jakubczak (Uniwersytet Kardynała Stefana Wyszyńskiego) LiDAR, GIS, GPS w badaniach nad prahistorycznym górnictwem krzemienia, na przykładzie pola górniczego „Skałecznica Duża”
14.00 – 14.15 dyskusja
14.15 – 15.15 przerwa obiadowa

PANEL III: Nowoczesne metody dokumentacji (I)

15.15 – 15.35 inż. arch. Karolina Majdzik (Politechnika Wrocławska), Anna Kubicka (Politechnika Wrocławska) Cyfrowe metody dokumentacji w pracach archeologiczno – architektonicznych na podstawie badań w Deir el – Bahari i Marina el – Alamein
15.35 – 15.55 mgr P. Rajski (Politechnika Wrocławska) Doświadczenia z inwentaryzacji zamków śląskiego pogranicza. Porównanie metod inwentaryzacji w badaniach architektonicznych i konserwacji
15.55 – 16.15 mgr W. Ejsmond (Uniwersytet Warszawski), mgr J.Chyla (Uniwersytet Jagielloński) Zastosowanie mobilnego systemu GIS w badaniach na zespole stanowisk archeologicznych
w Gebelein
16.15 – 16.30 dyskusja

PANEL IV: Nowoczesne metody dokumentacji (II)

16.30 – 16.50 mgr Ł. Miszk (Uniwersytet Jagielloński) Standardy prowadzenia dokumentacji na stanowisku Nea Pafos
16.50 – 17.10 mgr M. Bryk, mgr J. Chyla (Uniwersytet Jagielloński) Weryfikacja archeologicznych badań powierzchniowych przy pomocy GIS
17.10 – 17.25 dyskusja
17.25 – 17.40 przerwa kawowa

PANEL V: Prospekcja i analiza danych

17.40 – 18.00 mgr B. Pankowski (Uniwersytet Jagielloński), mgr Andrzej Święch Użycie nowych technologii w badaniach podwodnych na Wiśle
18.00 – 18.20 A. Rokoszewski (Uniwersytet Warszawski) Gdzie wzrok sięga – wykorzystanie analizy pola widzenia (viewshed analysis) do badań archeologicznych
18.20 – 18.40 M. Gilewski (Uniwersytet Warszawski) Wykorzystanie Erosion Productivity Impact Calculator (EPIC) w badaniach nad rolnictwem Majów
18.40 – 19.00 dyskusja

19.00 – 19.30 spotkanie CAA PL


Hestia2 seminar: registration open

May 23, 2013

hestiaThe Hestia project is pleased to announce “HESTIA2: Exploring spatial networks through ancient sources”, a one-day seminar on spatial network analysis and linked data in Classical studies, archaeology and cultural heritage.

The seminar will be held at The University of Southampton on 18 July. Registration for this event is free, but we do recommend registering as early as possible since the number of available places is limited. More information, including abstracts and registration, can be found on The Connected Past website.

We are looking forward to welcoming you to Southampton!

Elton Barker, Stefan Bouzarovski, Leif Isaksen and Tom Brughmans

HESTIA2: Exploring spatial networks through ancient sources

University of Southampton 18th July 2013
Organisers: Elton Barker, Stefan Bouzarovski, Leif Isaksen and Tom Brughmans
In collaboration with The Connected Past

A free one-day seminar on spatial network analysis in archaeology, history, classics, teaching and commercial archaeology.

Spatial relationships appear throughout our sources about the past: from the ancient roads that connect cities, or ancient authors mentioning political alliances between places, to the stratigraphic contexts archaeologists deal with in their fieldwork. However, as datasets about the past become increasingly large, spatial relationships become ever more difficult to disentangle. Network visualization and analysis allow us to address such spatial relationships explicitly and directly. This seminar aims to explore the potential of these innovative techniques for research in the higher education, public and cultural heritage sectors.

The seminar is part of Hestia2, a public engagement project aimed at introducing a series of conceptual and practical innovations to the spatial reading and visualisation of texts. Following on from the AHRC-funded initiative ‘Network, Relation, Flow: Imaginations of Space in Herodotus’s Histories’ (Hestia), Hestia2 represents a deliberate shift from experimenting with geospatial analysis of a single text to making Hestia’s outcomes available to new audiences and widely applicable to other texts through a seminar series, online platform, blog and learning materials with the purpose of fostering knowledge exchange between researchers and non-academics, and generating public interest and engagement in this field.

Registration

Registration for this event is now open. Please follow the instructions on the HESTIA2 Eventbrite page to obtain your ticket (no payment card needed).

The HESTIA2 seminar is free to attend but registration is required. Since places are limited we suggest you register as soon as possible.

Programme

11:00 Registration and coffee

11:30 HESTIA-team

  • Welcome and introduction to HESTIA and HESTIA2

12:00 Maximilian Schich (The University of Texas at Dallas)

12:25 Alex Godden (Hampshire County Council)

12:50 John Goodwin (Ordnance Survey)

13:15 Discussion

13:35 Tea and coffee break

13:55 Terhi Nurmikko (University of Southampton)

14:20 Kate Byrne (University of Edinburgh)

14:45 Giorgio Uboldi (Politecnico di Milano)

15:10 Discussion

15:35 Tea and coffee break

16:00 Keith May (English Heritage)

16:25 Paul Cripps (University of South Wales)


How I almost missed a great conference: Two days of Tracing Networks at the British Academy

May 7, 2013

tracng networksSometimes conferences can be quite predictable: I know who I will meet, I know what I will hear, I know where I will get a drink at the end of the day. The Tracing Networks conference held at the British Academy two weeks ago was not one of those predictable events, for a number of reasons. First of all, because I forgot all about it. I woke up one day and noticed two days of Tracing Networks in my calendar. I arrived at the venue without having a clue who would be there, who would present, what they would be talking about and where I could get a drink. And I can definitely recommend forgetting about conferences to everyone, because the event turned out to be a very enjoyable experience.

Lin Foxhall giving the opening address, with Anthony Harding

Lin Foxhall giving the opening address, with Anthony Harding

Lin Foxhall gave the opening address in name of the Tracing Networks team. Her talk was an overview of the project, and their search for a suitable methodological framework. This self-reflective and honest discourse was really fascinating. Lin went through a range of arguments why actor-network theory and formal network methods were not suitable. She said that network perspectives are good to think with but meaningfully and rigorously applying them within an archaeological context is particularly difficult. In my opinion this is totally true and cannot be emphasized enough. The team found a method based on ontologies and semantic web most appropriate for dealing with the large and very diverse datasets the project is concerned with.

Another presentation that interested me was Borja Legarra Herrero’s talk on using SNA for studying social change in Late Bronze Age Southern Spain. Some of his slides and parts of his paper revealed a very useful side of networks: their ability to communicate simple but useful structural ideas as small graphs representing different extreme hypotheses (e.g. star graph vs line graph vs circle graph). The usefulness of networks as a tool for communication is often uncritically exaggerated. I learned from experience that showing people real networks representing real data results in awkward silences: people don’t get it. True, these graphs become extremely useful once you understand the layout algorithm and play around with alternative visualizations. But their ability to communicate simple ideas is trivial compared to simplifying graphs of just a few nodes and links.

Leif Isaksen at Tracing Networks

Leif Isaksen at Tracing Networks

This issue came up again during Steve Conway’s reflections on graph visualizations. His paper took my own article in Oxford Journal of Archaeology as a starting point, and tried to find similar trends to the ones I described in his review of the use of formal network methods in the managerial literature. He identified some really familiar sounding issues: there is a tendency to conflate time; a tendency to ossify, to make static; an over-emphasis on the overall network and ignoring individual nodes; a tendency to let the network visualization speak for itself; and an under-emphasis on context. These are all common issues with the use of network visualizations, which are never neutral and are as laden with decisions and assumptions as any other communication medium (Steve wrote an interesting article about this in the british journal of management). This does not mean network visualizations are useless, or even bad at what they do. One just needs to approach and use them with as informed an understanding as possible of the decisions and assumptions that went into their creation.

Another paper that interested me was delivered by Peter Van Dommelen. He opened his talk on a sobering note, stating that “networks are not everything, we need to understand what is going on inside the nodes themselves”. Peter was mainly concerned with developing a critical archaeological approach to the study of migrations, stressing that the context of migrations need to be understood. He argued that there was a reluctance to discuss migration in archaeology since two decades because earlier migration studies were overly simplistic. That’s why we need to look beyond and below networks, we need to contextualize migrations, because the arrows on a map approach is just not good enough. We don’t just want to trace the large-scale, possibly state-enforced networks, but also the personal small-scale networks. We need a focus on communities on the ground if we want to understand what is going on inside the nodes. It is in the end the people who matter, they did not just trace but created the networks we are talking about. Peter discussed his ideas in the context of Nurraghic culture in Sardinia. He is of course right, but I have the impression that up til now the people that are “doing networks” have tended to go for the big datasets evidencing large-scale patterns, because there is just such a good fit with the network methods. However, this means that the challenge of local-scale, more contextualized archaeological network analysis remained under-explored.

Carl Knappett at Tracing Networks

Carl Knappett at Tracing Networks

… Until now? Carl Knappett clearly did not shy away from more small-scale and contextualized network approaches. His paper provided a balanced overview of network methods and theories, of the issues involved and the potential gains of a networks perspective for archaeology. He argued that network analysis in archaeology works best if node selection is unproblematic. It imposes some sort of order over a messy dataset. Although this is undeniably the case, it has to be said that some archaeologists are making real progress in confronting this issue. Ethan Cochrane and Carl Lipo explore how different artefact classifications emerge when different network approaches are used. In his PhD thesis Matt Peoples compares networks of ceramics classified by traditional ware typologies with networks of ceramic technical features. Carl continues by stating the importance of node definition and that this is a theoretical decision, i.e. it is wrong to think that SNA is untheoretical (Carl referred to Butts’ 2009 paper in Science). I could not agree more. The decisions an archaeological network analyst makes when defining nodes and edges, when selecting or modifying analytical techniques and when interpreting the outcomes are fundamentally influenced by their theoretical preconceptions. When I was recently tackling this issue for one of my case-studies I challenged myself to come up with at least two different ways of creating a network from the same dataset; in the end I found ten! Other issues raised by Carl involved temporal and geographical scales. He claimed that although archaeological network methods are often static, this is not a problem of the network perspective per se. In fact, the meaning of nodes or categories of analysis can emerge through the process of thinking through networks (Carl referred to Astrid Van Oyen’s work on comparing ANT and SNA). Carl challenged many of these issues head-on through his case studies from Bronze Age Crete, which revealed exactly how challenging they really are.

The Tracing Networks conference was a great experience, not in the least because I was genuinely surprised to see so many scholars there with shared interests doing fascinating work. I am looking forward to the proceedings and to forgetting about some of the upcoming conferences in my calendar.


CFP Hestia2 seminar

April 29, 2013

hestiaThree years ago I attended the conference that concluded the Hestia project. I gave my second presentation ever at that conference and met loads of fascinating people, all of which I am still good friends with. Project Hestia was all about using new computing techniques to explore the use of space in Herodotus’ ‘Histories’. The conference drew an eclectic mix of computer scientists, classicists, historians and archaeologists. As always happens at such multi-disciplinary events, academics with a different background always find common ground that leads to fascinating discussions.

I was glad to hear that the Hestia team managed to get follow-on funding from the AHRC, and even happier that this time round I got to be part of the team. The Connected Past is a partner in Hestia2. We are organising a one-day seminar at The University of Southampton on 18 July on spatial network analysis in archaeology, history, classics, teaching and commercial archaeology. Hestia part 2 is all about public engagement, so expect a mixed crowd and fascinating discussions!

We welcome abstracts for this event, so please go ahead and send yours in now. Feel free to contact us if you are interested in attending. More info on the call for paper can be found below or on the Connected Past website.

CALL FOR PAPERS

HESTIA2: Exploring spatial networks through ancient sources

University of Southampton 18th July 2013
Organisers: Elton Barker, Stefan Bouzarovski, Leif Isaksen and Tom Brughmans
In collaboration with The Connected Past

A free one-day seminar on spatial network analysis in archaeology, history, classics, teaching and commercial archaeology.

Spatial relationships are everywhere in our sources about the past: from the ancient roads that connect cities, or ancient authors mentioning political alliances between places, to the stratigraphic contexts archaeologists deal with in their fieldwork. However, as datasets about the past become increasingly large, these spatial networks become ever more difficult to disentangle. Network techniques allow us to address such spatial relationships explicitly and directly through network visualisation and analysis. This seminar aims to explore the potential of such innovative techniques for research, public engagement and commercial purposes.

The seminar is part of Hestia2, a public engagement project aimed at introducing a series of conceptual and practical innovations to the spatial reading and visualisation of texts. Following on from the AHRC-funded “Network, Relation, Flow: Imaginations of Space in Herodotus’s Histories” (Hestia), Hestia2 represents a deliberate shift from experimenting with geospatial analysis of a single text to making Hestia’s outcomes available to new audiences and widely applicable to other texts through a seminar series, online platform, blog and learning materials with the purpose of fostering knowledge exchange between researchers and non-academics, and generating public interest and engagement in this field.

For this first Hestia2 workshop we welcome contributions addressing any of (but not restricted to) the following themes:
• Spatial network analysis techniques
• Spatial networks in archaeology, history and classics
• Techniques for the discovery and analysis of networks from textual sources
• Exploring spatial relationships in classical and archaeological sources
• The use of network visualisations and linked datasets for archaeologists active in the commercial sector and teachers
• Applications of network analysis in archaeology, history and classics

Please email proposed titles and abstracts (max. 250 words) to:
t.brughmans@soton.ac.uk by May 13th 2013.


The Connected Past @ SAA tomorrow

April 3, 2013

Screen shot 2013-02-10 at 12.27.00The Connected Past is alive! We are preparing a few more events that will be announced soon. But now I am very excited about tomorrow when we will host the second Connected Past event at the Society for American Archaeologists meeting in Honolulu. We have a great line-up of speakers and Ian Hodder will act as a discussant at the session. The session itself might not provide enough time to say everything we want to say about networks in archaeology, which is why Angus Mol and Mark Golitko have organised a discussion forum on Friday called ‘re-connecting the past’.

Have a look on The Connected Past website for the full abstracts, or on the dedicated page on this blog.

A full report will follow soon after the event!

Hope to see some of you there!


Connected Island: Citation Network Analysis

February 18, 2013

In two previous blogposts (1, 2) I introduced the amazing Connected Island project Iza and I have been working on recently. This third blogpost about the Connected Island project will introduce our method for analysing publications and their citations. We will briefly discuss how citation network analysis works and the issues surrounding its applications. Finally, we will look at the very first results of this project: an analysis of publications about the Middle and Lower Palaeolithic in Hungary.

Hungarian Houses of Parliament

Hungarian Houses of Parliament

Citation network analysis

Recently, a wider availability of powerful computational resources, bibliometric software (e.g. HISTCITE; PAJEK; PUBLISH OR PERISH) and large bibliographic datasets in the sciences as well as the humanities resulted in significant progress in the analysis of citation networks in which vertices represent publications and a directed edge (or arc) between two vertices indicates a citation (Eom and Fortunato, 2011).

The foundations of citation network analysis were laid by Garfield et al. (1964) and the application of graph theory for citation network analysis was subsequently explored by Garner (1967). Despite this long tradition, its use in an archaeological context has not yet been thoroughly explored. In a number of studies researchers used simple counts of citations or other bibliometric data to track trends in the archaeological sciences and compare the impact and evolution of archaeological journals (e.g. Butzer, 2009; Marriner, 2009; Rehren et al., 2008; Rosenswig, 2005; Sterud, 1978), or to evaluate the impact of gender differentiation in archaeology (e.g. Beaudry and White, 1994; Hutson, 2002; 2006; Victor and Beaudry, 1992).

Citation network analyses in the Arts and Humanities are rare (Leydesdorff et al., 2011). The main reason for this is that the available citation databases for the Arts and Humanities (in particular the Institute for Scientific Information’s Arts and Humanities Citation Index) have significant limitations (Nederhof, 2006): books were until recently not indexed and publications in languages other than English are rare. However, monographs (rather than peer-reviewed journal articles) are often the dominant format of cited sources in the Humanities. Disciplines in the Arts and Humanities also show very different citation patterns and should therefore be considered separately (Knievel and Kellsey 2005). Despite these shortcomings citation analyses in the Arts and Humanities should not be discarded out of hand as it can still provide an alternative look at scientific practice through large aggregated datasets as long as the nature of the datasets and their limitations are thoroughly understood.

We came across some of these obstacles very early on during data collection for this project. Existing citation databases, like Web of Knowledge, contained only a fraction of the publications we were interested in. Those that are indexed in this resource are mostly written in English by Western European researchers (with a few exceptions) and it only rarely includes publications in Hungarian, Polish, Czech, Slovakian, or Russian. Manual data collection was therefore necessary.

A first test: the Lower and Middle Palaeolithic in Hungary

As a test-case we explored a small part of the project’s dataset, containing the 31 synthetic publications about the Lower and Middle Palaeolithic in Hungary we found in Budapest’s libraries. This collection of publications was written by nine Hungarian archaeologists between 1945 and 1990. This case-study aims to explore the citation patterns between them.

Chronological plot of citation network of Hungarian Palaeolithic researchers. Nodes are publications and directed lines are citations. Colours reflect publication language.

Chronological plot of citation network of Hungarian Palaeolithic researchers. Nodes are publications and directed lines are citations. Colours reflect publication language.


One would expect the older publications to be the most prominent since these had the time to accumulate the largest number of citations, and the results do show this process to some extent. Using the input domain measure (de Nooy et al., 2005: p. 193) we found that a few publications from the 50’s and early 60’s can be connected to by a larger number of nodes than any of the publications from the late 60’s and later, which indicates that these few publications influenced (directly or indirectly) the largest number of other publications. All of these publications with a high input domain were in fact written by a single author László Vértes who, although being very often cited by his colleagues, is guilty of quite a bit of self-citation as well. Although self-citation is common in academia and completely understandable (one always builds on one’s previous research), we needed to evaluate to what extent this affects the analytical techniques used. In this case the input domain seems to reflect largely the citation behaviour of one scholar who was extremely active throughout several decades.
Input domain score of publications: the number of publications that can be connected to a certain publication via a sequence of citations. This reflects the potential field of influence of a publication.

Input domain score of publications: the number of publications that can be connected to a certain publication via a sequence of citations. This reflects the potential field of influence of a publication.


Another way of evaluating the relative prominence of old and more recent publications is to look at the number of citations they received. It is interesting to note that the oldest as well as the recent publications receive a relatively small number of citations compared to a few publications from the mid- to late-60‘s. One of these is a monograph edited by Vértes on one of the most important Middle Palaeolithic sites in Hungary, Tata, which also received a high input domain score. The second highly cited publication was a book about the Middle Palaeolithic in Hungary also written by Vértes. The third most frequently cited work is a monograph about another prominent Middle Palaeolithic site, Érd, written by Veronika Gábori-Csánk.

In citation network analysis authoritative sources are often defined as publications that receive a high number of citations and particularly from so-called hubs. Hubs are defined as publications that cite a lot of other works especially authorities. Given these definitions we can identify the site monographs of Tata and Érd as well as the second highly cited book by Vértes as such authorities. The hubs in this network are three publications by the same authors: Miklos Gábori. All three of these publications are reviews of the Hungarian Palaeolithic and due to their very nature will include a lot of references, especially to key site reports.

The above measures very much over-emphasize the most cited publications and the work of the most active authors. We should note, however, that six works in this citation network are not cited or do not cite any others. These include publications from the 60’s by Vértes and Gabori, a few publications from the 50’s that seem to have been ignored by all those who followed, and the most recent publications from 1988 and 1990 that could not have been cited by others in this network.

Language of Publication

On the basis of the small sample of publications gathered in Budapest we can say that the widely held assumption that archaeological data from Central Europe was published in local languages is incorrect (Table 2). At least half, if not more, of Central European archaeology publications from this period were published in German, French or English alongside the national language. The image that all countries under the influence of the former Soviet Union published in Russian is incorrect.

Hungarian researchers in the case study, number of publications per language, and publishing date of publications included in the case study.

Hungarian researchers in the case study, number of publications per language, and publishing date of publications included in the case study.

Conclusions

We can conclude that although the effects of self-citation were definitely felt in this analysis, especially by those authors of whom we included multiple publications like Vértes or Gábori-Csánk, there are a number of publications that can be considered most pivotal in Hungarian Palaeolithic studies. These include the site reports of Tata and Érd.

Contrary to popular believe, Hungarian authors rarely published in their own language. Especially key site reports and synthetic works were written in these foreign languages, making them accessible to Western European archaeologists.

This blog post has explored the citation behaviour within a subset of the project’s dataset, and has concluded that Hungarian Palaeolithic archaeologists cited Central European and famous Western European scholars almost equally. Publications were almost always written in English, French or German, in addition to Hungarian, making most of them accessible to Western European archaeologists. But did the latter build on the work done by their Hungarian colleagues to improve their understanding of the European Lower and Middle Palaeolithic? Future work in this project will focus on the interactions between Western and Central European researchers.

Bibliography

Beaudry, M., & White, J. 1994. Cowgirls with the Blues? A Study of Women’s Publication and the Citation of Women’s Work in Historical Archaeology. In C. Claassen (ed) Women in Archaeology, 138–158. Philadelphia: University of Pennsylvania Press.

Butzer, K.W. 2009. Evolution of an interdisciplinary enterprise: the Journal of Archaeological Science at 35years. Journal of Archaeological Science 36(9): p.1842–1846.

Eom, Y.-H., & Fortunato, S. 2011. Characterizing and Modeling Citation Dynamics M. Perc (ed). PLoS ONE 6(9): p.e24926.

Garfield, E., Irving, H.S., & Richard, J.T. 1964. The use of citation data in writing the history of science. Philadelphia: Institute for scientific information.

Garner, R. 1967. A computer-oriented graph theoretic analysis of citation index structures. In B. Flood (ed) Three drexel information science research studies, 3–46. Philadelphia: Drexel press.

Hutson, S. 2002. Gendered citation practices in American Antiquity and other archaeology journals. American antiquity 67(2): p.331–342.

Hutson, S.R. 2006. Self-Citation in Archaeology: Age, Gender, Prestige, and the Self. Journal of Archaeological Method and Theory 13(1): p.1–18.

Knievel, J.E., & Kellsey, C. 2005. Citation analysis for collection development: a comparative study of eight humanities fields. The Library Quarterly 75(2): p.142–168.

Leydesdorff, L., Hammarfelt, B., & Salah, A. 2011. The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals. Journal of the American Society for Information Science and Technology 62(12): p.2414–2426.

Marriner, N. 2009. Currents and trends in the archaeological sciences. Journal of Archaeological Science 36(12): p.2811–2815.

Nederhof, A. 2006. Bibliometric monitoring of research performance in the Social Sciences and the Humanities : a review. Scientometrics 66(1): p.81–100.

Nooy, W. de, Mrvar, A., & Batagelj, V. 2005. Exploratory social network analysis with Pajek. Cambridge ; New York: Cambridge University Press.

Rehren, T., Grattan, J., & Klein, R. 2008. Going strong, and growing. Journal of Archaeological Science 35: p.94305.

Rosenswig, R. 2005. A tale of two antiquities: Evolving editorial policies of the SAA journals. The SAA Archeological Record 5(1): p.15–21.

Sterud, E. 1978. Changing Aims of Americanist Archaeology: A Citations Analysis of American Antiquity. 1946-1975. American Antiquity 43(2): p.294–302.

Victor, K., & Beaudry, M. 1992. Women’s Participation in American Prehistoric and Historic Archaeology: A Comparative Look at the Journals American Antiquity and Historical Archaeology. In C. Claassen (ed) Exploring Gender through Archaeology, 11–22. Madison, Wisconsin: Prehistory Press.


Archaeology in the scanner

February 7, 2013

Screen shot 2013-02-03 at 14.06.17Southampton made the news last week with some of our scanning work. It turns out we have a massive room-sized scanner (misleadingly called a MICRO-CT scanner) at our imaging centre. It is capable of scanning stuff with a resolution of less than 0.1mm and given its size it can do this for quite big objects. Our Archaeological Computing Research Group could not wait to get their hands on this new toy, and collaborated with the British Museum to scan a large cauldron excavated at Chiseldon. The cauldron itself is actually not excavated since it is too fragile. Instead, the archaeologists lifted the big find encased in its soil matrix to preserve it until technologies come along that can tell us more about this fragile find. It seems that this time has now come! With this scanner the archaeologists were able to explore the cauldron by looking through the earth layers without excavating it.

Have a look at the video and read the article on the BBC website.


ABM workshop at CAA 2013

January 25, 2013

CAAworkshop_complexity_leafletI will be involved in an awesome workshop on agent-based modelling in Archaeology at CAA 2013 in Perth. Sound interesting? Hell yeah! Read the outline below and feel free to register you interest. Click here or on the image to the left to check out our awesome flyer (courtesy of Iza Romanowska).

Dear all,

We would like to draw your attention to a workshop on agent-based modelling in archaeology as part of the Computer Applications and Quantitative Methods in Archaeology (CAA) conference

Ever wondered what all this complex systems talk in archaeology is about, or how to design your own sophisticated simulation model? Then this might be for you:

We will organise a workshop on complex systems and agent-based simulations models in archaeology at the CAA Conference in Perth, Australia, this March. Places are still available but Early Bird Registration to the conference ends on Thursday February 7th, so hurry up to get a discount! The workshop itself is free of charge.

The workshop will take place on Monday March 25th and will consist of a morning and an afternoon session. At the end of the day you will be able to design and program your own simulation model to help you answer your research questions in archaeology or related social sciences – guaranteed …

Registration for the conference at:

http://www.caa2013.org/drupal/registration

Registration to the workshop will be announced on the CAA website soon, but you can already reserve a seat by contacting Carolin at cv275@cam.ac.uk

For further information see the abstract below. A flyer with a detailed programme is attached.

Hope to see you there.

Best wishes,

Carolin, Iza, Tom and Eugene

Carolin Vegvari (Department of Biological Anthropology, University of Cambridge)
Iza Romanowska (Institute for Complex Systems Simulation, University of Southampton)
Tom Brughmans (Archaeological Computing Research Group, University of Southampton)
Eugene Ch’ng (IBM Visual and Spatial Technology Centre, University of Birmingham)

WORKSHOP ABSTRACT

W1: Complex Systems and Agent-Based Modelling in Archaeology
Chairs: E. Ch’ng, C. Vegvari
Discussants: I. Romanowska, T. Brughmans

Modelling in various forms has always been an integral part of archaeology. In the broadest sense, archaeology is the study of human activities in the past, and a model is a simplified representation of reality. As a map is a useful abstract of the physical world that allows us to see aspects of the world we chose to, so a computational model distils reality into a few key features, leaving out unnecessary details so as to let us see connections. Human societies in their environmental context can be considered as complex systems. Complex systems are systems with many interacting parts, they are found in every hierarchy of the universe, from the molecular level to large planetary systems within which life and humanity with its cultural developments occur. Formal modelling can help archaeologists to identify the relationships between elements within a complex socio-environmental system in that particular hierarchy. Simulating large populations and non-linear interactions are computationally expensive. In recent years, however, the introduction of new mathematical techniques, rapid advances in computation, and modelling tools has greatly enhanced the potential of complex systems analysis in archaeology. Agent-Based Modelling (ABM) is one of these new methods and has become highly popular with archaeologists. In Agent-Based Modelling, human individuals in ancient societies are modelled as individual agents. The interaction of agents with each other and with their environment can give rise to emergent properties and self-organisation at the macro level – the distribution of wealth within a society, the forming of cohesive groups, population movements in climate change, the development of culture, and the evolution of landscape use are among the examples. Thus, the application of Agent-Based Models to hypothesis testing in archaeology becomes part of the question. The ability to construct various models and run hundreds of simulation in order to see the general developmental trend can provide us with new knowledge impossible in traditional approaches. Another advantage of agent-based models over other mathematical methods is that they can easily model, or capture heterogeneity within these systems, such as the different characteristics (personalities, gender, age, size, etc), preferences (coastal, in-land, food, fashion), and dynamics (microstates of position and orientation).

We would like to invite archaeologists new to complex systems and Agent-Based Modelling for an introductory workshop on Complex Systems and Agent-Based Modelling in archaeology. The workshop introduces the concept of Complexity in archaeology, drawing relationships between Information, Computation and Complexity. The practicality of the workshop leads beginners in building simple agent- based models and provides a means to build more complex simulations after. Participants knowledgeable in Complexity wishing to gain insights on real-world applications of Complexity will benefit from this workshop. Participants will get the opportunity to experiment with simple models and draw conclusions from analysis of simulations of those models. Programming experience is not required as the workshop leads beginners from the ground up in modelling tools.


‘A Connected Island?’: measuring academic influence

January 17, 2013

By Iza Romanowska and Tom Brughmans

This second blog post about the Connect Island project, funded by a sotonDH small award, discusses the relative influence of Central European Palaeolithic researchers using the H-index measure.

hindex all

Figure 1: H-index scores of Central European Palaeolithic researchers (left) versus Iron Age (right) researchers.

It has been claimed that Central European archaeologists specializing in Stone Age studies are quite well-known in the West compared to their colleagues leading research in later epochs. To test this anecdotal supposition we analysed the H-index of Central European Palaeolithic researchers.

The H-index (Hirsch 2005) is a measure of an author’s academic impact that takes into account both the number of papers published by the author and the number of citations to these papers (Bornmann and Daniel 2005; 2007). Its main advantage is that it balances the effects of a small number of high hitting papers and a large number of rarely cited publications. Neither a researcher with a one-hit-wonder paper, nor one producing hundreds of mediocre publications will score high. The H-index therefore favours enduring performance both in terms of quality and quantity. We used publications and citations recorded in Google Scholar as it covers a higher number of publications than ISI Web of Knowledge, especially for the fields of Social Sciences and Arts and Humanities (Kousha and Thelwall 2008). In contrast to ISI Web of Knowledge, however, Google’s bibliographic indexing is automated and not routinely manually edited by Google staff making it prone to inconsistencies and duplication. We noticed that the H-index results for archaeologists were unrealistically low when only taking publications in Web of Knowledge into account, and Google Scholar was therefore considered the lesser of two evils.

To provide a benchmark, we compared the results with a large sample of Central European Iron Age researchers. The Central European Iron Age is quite extensive, well-studied and some of its main proponents are well-known internationally. Arguably, the fact that we are using Iron Age researchers for this benchmark is irrelevant, any sub-discipline within archaeology would have done the job. In order for the anecdotal statement we are trying to test to be true, however, the H-index scores of the Palaeolithic researchers should be close to or higher than the Iron Age researchers’.

The results strongly confirm the intuitive observation (see Table 1 and Figure 1). Compared to a test sample of Iron Age specialists, Central European Palaeolithic researchers have been quoted more extensively and their papers were more influential abroad (as reflected in Google Scholar), indicating that they had a higher direct impact (as measured by the H-index) on the discipline globally.

Palaeolithic researchers   Iron Age researchers  
Karel Absolon 9 Kazimierz Bielenin 4
Viola Dobosi 5 Anna Bitner-Wróblewska 2
Boleslaw Ginter 7 Éva Bónis 3
Jan Fridrich 4 Jaroslav Böhm 6
 Bohuslav Klíma 10 Miloš Čižmář 3
Michal Kobusiewicz 8 Jana Čižmářová 1
Janusz Krzysztof Kozlowski 10 Sylwester Czopek 2
Stefan Kozlowski 9 Petr Drda 4
Gábori Miklós 5 Jan Filip 11
Martin Oliva 9 Kazimierz Godlowski 7
Romuald Schild 22 Eszter Istvánovits 2
Josef Skutil 5 Libuše Jansová 3
Jiří Svoboda 14 Fitz Jenő 9
Karel Valoch 14 Piotr Kaczanowski 5
László Vértes 11 Andrzej Kokowski 3
Jerzy Kmieciński 4
Valéria Kulcsár 2
Karel Ludikovský 1
Henryk Machajewski 2
 Renata Madyda-Legutko 3
Magdalena Mączyńska 3
Jiří Meduna 4
Szabó Miklós 5
Karla Motyková-Šneidrová 2
Jerzy Okulicz-Kozaryn 2
Emanuel Šimek 4
Jaroslav Tejral 8
Andrea Vaday 3
Natalie Venclová 5
Jiří Waldhauser 3
Ryszard Wołągiewicz 2
Table 1: all Palaeolithic and Iron Age researchers included in the analysis with their H-index scores.

The Matthew effect?

We suspect that we are dealing here with a good example of the “Matthew effect” in science. Coined by Robert K. Merton (1968), the term refers to a passage from the Gospel of Matthew: “For to all those who have, more will be given, and they will have an abundance; but from those who have nothing, even what they have will be taken away.” – Matthew 25:29.

In simple terms it can be referred to as the “rich get richer” effect. Applied to academia it describes the phenomenon of more established, better-known scholars receiving disproportionately more credit than their lesser-known colleagues for equal or even smaller contributions to the research. Thus, they are more likely to spread their results wider and to have a higher impact on the discipline. Lower Palaeolithic archaeology had an additional boost when it came to creating a strong Matthew effect. The few irregularly distributed Lower Palaeolithic sites could be studied and published by only a handful of specialists. As a result, only a limited number of archaeologists were drawn into Palaeolithic studies and those who did were exempt from the fierce competition that their colleagues working on later epochs faced.

This also meant that invitations to conferences, scientific collaboration and co-authoring would be shared within a smaller cluster of scholars creating a self-propelling positive feedback loop and strengthening the natural Matthew effect. Combined with the nature of Palaeolithic data which is of global relevance and the high demand for Palaeolithic researchers in the second half of the 20th century, this could have contributed to a better recognition of Central European Palaeolithic researchers in the West, giving them more opportunities to collaborate, publish and spread their results in the international research community. Such a process could account for the higher H-index compared to their colleagues specializing in later epochs.

Bibliography

Bornmann, L., H.-D. Daniel. 2005. “Does the h-index for ranking of scientists really work?” Scientometrics 65 (3): 391-392. doi:10.1007/s11192-005-0281-4.
Bornmann, L., H.-D. Daniel. 2007. “What do we know about the h-index?” Journal of the American Society for Information Science and Technology 58 (9): 1381-1385. doi:10.1002/asi.20609.
Hirsch, J. E. 2005. “An index to quantify an individual’s scientific research output.” Proceedings of the National Academy of Sciences of the United States of America 102 (46) (November 15): 16569-16572. doi:10.1073/pnas.0507655102.
Kousha, K., M. Thelwall. 2007. “Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines.” Scientometrics 74 (2): 273-294. doi:10.1007/s11192-008-0217-x.
Merton, Robert K. 1968. “The Matthew Effect in Science.” Advancement of Science 159 (3810): 56-63.
Merton, Robert K. 1988. “The Matthew Effect in Science II. Cumulative Advantage and the Symbolism of Intellectual Property.” Sociology. The Journal of the British Sociological Association 159: 606-623.


Portus and ACRG work on BBC 1

December 11, 2012

Visualisation of Harbour produced by BBC for Rome’s Lost Empire in collaboration with Portus Project

Visualisation of Harbour produced by BBC for Rome’s Lost Empire in collaboration with Portus Project

On Sunday a show called Rome’s Lost Empire featured loads of great work by Southampton archaeologists. Since 2007 a team led by Prof. Simon Keay and Dr. Graeme Earl has been excavating at Portus, the port of the city of ancient Rome. The BBC 1 show reveals some of their latest findings, as well as the 3D modelling work of our Archaeological Computing Research Group team.

You can watch the show on BBC iPlayer.

Read more about the computer models that were created for this show on the Portus blog. There you can also read a message by Prof. Simon Keay about the show.


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