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Please consider submitting your Sunbelt 2022 abstract to the organized session on:
> Advances in Socio-Semantic Network Analysis
Description: Social actors (individuals, groups, organizations) are connected (or separated) both by social structure and the cultural content (knowledge, claims, tastes) they communicate. The social and the cultural realms coevolve defining each other and to understand either we need to account for both. To explain these realms and their interplay, researchers are increasingly using socio-semantic network frameworks that simultaneously distinguish and combine the structure of social ties between actors and meaningful associations between the cultural elements (signs, symbols, concepts, ideas) they use.
Recently, socio-semantic network analysis has rapidly expanded, benefiting from combinations of conceptual apparatus of different disciplines, mixtures of computational and qualitative methods, and diversification of applications that range from global online communication captured by 'Big' online data to symbolic interaction in small groups examined using 'thick' in-presence ethnographic data. Still, our emergent field faces a number of challenges that can be resolved by further drawing on interdisciplinary cooperation. This organized session aims at addressing these challenges and equally welcomes social network analysts and network scientists to submit conceptual, methodological, and empirical papers contributing (but not limited) to the following themes:
- Relationship between social structure and cultural content of communication;
- Principles, mechanisms, and patterns of interplay between social and semantic networks;
- Adjustment of social network measures for semantic networks and vice versa, development of specific socio-semantic network measures;
- Qualitative, quantitative, or mixed methods relating social network ties and cultural content of communication;
- Applications of socio-semantic analysis to ‘Big’ online or ‘thick’ in-presence network data;
- Socio-semantic connections between macro and micro levels;
- Comparisons of socio-semantic networks across contexts and generalization of socio-semantic findings.
> Submission information
Deadline: February 6th, 2022
Camille Roth (CNRS/Centre Marc Bloch), Nikita Basov (St. Petersburg University), Iina Hellsten (University of Amsterdam), Adina Nerghes (Wageningen University & Research), Johanne Saint-Charles (Université du Québec à Montréal).
cnrs associate research professor / camilleroth.eu
computational social science team leader / cmb.huma-num.fr
centre marc bloch, berlin (cnrs / humboldt) / cmb.hu-berlin.de
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