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An analysis of the internal organization of Facebook groups.

With the rapid development and growth of OnlineSocial Networks (OSNs), researchers have been pushed forwardto improve the knowledge of these complex networks by analyzingseveral aspects, such as the types of social media, the structuralproperties of the network, or the interaction patterns amongusers. In particular, a relevant effort has been devoted to thestudy and identification of cohesive groups of users in OSNs(also referred as communities) because they are the basic buildingblock of each OSN. While several research works on groups inOSNs have mainly focused on identifying the types of groups andthe contents created by their members, the analysis of internalorganizations of such groups remains unexplored due to the lackof real datasets containing information about such groups, abouttheir members and the interactions among them.In this manuscript, we compensate for this shortcoming bystudying the main properties of groups defined in OSNs, takingas reference use cases 40 real Facebook groups of differentcategories which account for a total of about 500.000 users. Inparticular, we exploit interaction patterns among users and socialnetwork analysis to uncover interesting aspects related to theinternal organization of groups. Experimental results reveal thatthe majority of the collected groups exhibit an internal structurewhere members can be clustered in 4 sub-groups according tothe level of tie strength of the relations they have. Furthermore,clusters identified on Facebook groups can provide relevantinformation about the importance of users within such groups.


IEEE Transactions on Computational Social Systems, 2019

Autori esterni: Barbara Guidi (Dipartimento di Informatica, Università di Pisa), Laura Ricci (Dipartimento di Informatica, Università di Pisa)
Autori IIT:

Andrea De Salve

Foto di Andrea De Salve

Tipo: Contributo in rivista non ISI
Area di disciplina: Information Technology and Communication Systems

File: 08855068.pdf

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