Words and Networks session at 3rd North American Social Network Conference (NASN)
of the International Network for Social Network Analysis (INSNA)
January 25 - 27, 2021
Held Online

This session is dedicated to innovative research at the nexus of text analysis and network analysis. Text data are ubiquitous: common sources include social media sites, legislative and legal documents, literature, and scholarly articles, to name just a few. The content of text data and meta-data enables us to understand the impact of language use on social networks and vice versa, properties of semantic networks, and the structure and evolution of social ecosystems. Research on “Words and Networks” has led to eminent work on language change, collaborative work, recommender systems, the diffusion and use of (mis)information offline and online, social movements, semantic computing, and relation extraction.

We invite submissions that contribute to the consolidation of text analysis and network analysis. We are interested in basic and applied studies. We encourage the submission of theoretical, empirical, and methodological research. The whole bandwidth of approaches to text analysis (e.g., discourse analysis, content analysis, text mining, or natural language processing) and network analysis (e.g., graph theory, social network analysis) will be considered.

This session is jointly organized by:

Program Committee

Important dates:

Submission:

If you have any questions, please contact Jana Diesner (jdiesner@illinois.edu) and Brandon Sepulvado (Sepulvado-Brandon@norc.org)

Submit your abstract at https://easychair.org/conferences/?conf=nasn2021

If you have any questions, please contact Jana Diesner (jdiesner@illinois.edu) and Brandon Sepulvado (Sepulvado-Brandon@norc.org).