The main annual conference of the SNA community is Sunbelt. It is traditionally hosted in a sunny location, no different this time round: Newport Beach, California (last year it was the UK’s turn, and the best they could offer was Brighton. Good try!).
I want to draw particular attention to a few sessions that will be of interest to readers of this blog:
Doing qualitative network analysis
Full abstracts can be found below and a complete list of all sessions can be found here.
Session Title: Archaeological Networks
Description: Network science in archaeology has flourished in the last decade, providing researchers the tools to analyze connections (e.g. movement of material or resources, migration, diffusion of cultural traits) between past cultures, communities and individuals. There are however many methodological challenges associated with the application of network science in archaeology, some of which are mentioned here. Data is fragmentary and spurious due to differences in the preservation of distinct materials and incomplete historical documentation. Developing methods for network reconstruction and for the imputation of missing network data using this limited information is not a trivial task. Moreover, data derives from multiple sources of information and archaeological networks can therefore be characterized by multiple and multilevel relations of different kinds. Formulating and testing models for multivariate networks is thus another challenge. In addition, networks were shaped by a variety of human and non-human factors, among which geography and material culture are two examples. Defining procedures accounting for these factors is yet another methodological issue. This session invites contributions from researchers employing network science in archaeology, in particular those addressing methodological challenges that network scientists in archaeology are faced with.
Organizer(s): Termeh Shafie and Viviana Amati. Department of Computer & Information Science, University of Konstanz, 78457 Konstanz, Germany
Emails: email@example.com; firstname.lastname@example.org
Submission: Instructions Please submit an abstract using the conference’s abstract submission system and select “Archaeological Networks” as the session title.
Session Title: Doing Qualitative Network Analysis
Description: In the recent past, more and more network researchers have relied on qualitative approaches to social networks. The state-of-the-art, however, is somewhat biased: While there is ample discussion on qualitative network data collection there is much less discussion on analytical strategies of qualitative network data. Future developments in qualitative network analysis need to address this imbalance since; ultimately, advancements in social network research have always been advances in analytical rigor. The organized session “Doing qualitative network analysis” contributes to this agenda. It invites contributions that engage in methods, methodology and theoretical prerequisites of qualitative network analysis. All papers should focus on the research process, i.e. on qualitative analysis as a research practice. Amongst others, papers may focus on the following questions: What do the various strands of qualitative research (such as narrative inquiry or ethnography) offer for the analysis of social networks? How can network maps be analyzed in a qualitative manner? What role do visualizations play in a qualitative analysis process? Are there specific qualitative approaches to the analysis of network visualizations? How can qualitative analysis software be integrated in the qualitative network research process? What methods are applied to analyses and code network data? How do methodical procedures relate to methodological and theoretical positions?
Organizer(s): Stefan Bernhard. Institute for Employment Research Nürnberg Email: Stefan.Bernhard@iab.de Andreas Herz. University of Hildesheim Email: email@example.com
Submission Instructions: Please submit an abstract using the conference’s abstract submission system and select “Doing Qualitative Network Analysis” as the session title.