We are surrounded by all kinds of social networks in our daily lives.
Social network analysis is a longstanding methods toolbox used to examine the structures of relations between social entities, which can represent individuals, groups, or organizations, among other entity types. Existing network metrics and models are flexible in that they can detect structural dynamics that exist at three fundamental levels of analysis, namely the micro, meso, and macro levels of networks. While several open-source tools for social network analysis are available, there is a need for a pipeline that guides scholars through a multilevel analysis of networks.
This tutorial aims to help participants from various disciplinary backgrounds to learn the state-of-the-art methods for processing and analyzing both synthetic (e.g. random, small-world, scale-free) and real-world social networks (e.g. social networking sites, weblogs, online encyclopedias). Participants will be working with sample data provided by the Tutorial Track co-chairs. Sample data is publicly available for research purposes.
Interested? Register to Pynetworkshop now! Visit https://networks2021.net/registration.