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Social Media Group Structure and Its Goals: Building an Order

  • Danila A. Vaganov
  • Valentina Y. Guleva
  • Klavdia O. Bochenina
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)

Abstract

Building the interrelation between goals and functions of on-line social groups and their topological properties allows for recognition of special communities and anomalies in on-line social media. Network structures of on-line groups are poorly studied as well as social aspects of their formation. Current research does an attempt to connect structure and function, and to order communities according to their thematics and topological features. We compared normal and anomalous networks, comprising the following types of interest: food, football, cinema, games, radical politics, commercial sex workers, and substance sellers. For measuring and ordering the networks we used measures, related to degree, clustering, and path properties, effectiveness, hyperbolicity, spreading characteristic, and modularity.

Notes

Acknowledgement

We are grateful to Max Petrov for his help with data collection. This research is financially supported by The Russian Science Foundation, Agreement #17–71–30029 with co-financing of Bank Saint Petersburg.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Danila A. Vaganov
    • 1
  • Valentina Y. Guleva
    • 1
    • 2
  • Klavdia O. Bochenina
    • 1
  1. 1.ITMO UniversitySaint-PetersburgRussia
  2. 2.Kurchatov InstituteMoscowRussia

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