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.
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Notes
- 1.
Radical politic communities demonstrate a high fraction of subscribers included to a friendship network, higher clustering coefficient, and stronger interconnections between different communities inside the topic.
- 2.
Source code is available at http://piluc.dsi.unifi.it/lasagne.
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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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Vaganov, D.A., Guleva, V.Y., Bochenina, K.O. (2019). Social Media Group Structure and Its Goals: Building an Order. In: Aiello, L., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., Rocha, L. (eds) Complex Networks and Their Applications VII. COMPLEX NETWORKS 2018. Studies in Computational Intelligence, vol 813. Springer, Cham. https://doi.org/10.1007/978-3-030-05414-4_38
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