Characterization of online groups along space, time, and social dimensions
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- dc.contributor.author Martin, Davidca
- dc.contributor.author Aiello, Luca Mariaca
- dc.contributor.author Grabowicz, Przemyslawca
- dc.contributor.author Jaimes Larrarte, Alejandroca
- dc.contributor.author Baeza Yates, Ricardoca
- dc.date.accessioned 2015-03-25T10:42:34Z
- dc.date.available 2015-03-25T10:42:34Z
- dc.date.issued 2014ca
- dc.description.abstract Social groups play a crucial role in online social media because they form the basis for user participation and engagement. Although widely studied in their static and evolutionary aspects, no much attention has been devoted to the exploration of the nature of groups. In fact, groups can originate from different aggregation processes that may be determined by several orthogonal factors. A key question in this scenario is whether it is possible to identify the different types of groups that emerge spontaneously in online social media and how they differ. We propose a general framework for the characterization of groups along the geographical, temporal, and socio-topical dimensions and we apply it on a very large dataset from Flickr. In particular, we define a new metric to account for geographic dispersion, we use a clustering approach on activity traces to extract classes of different temporal footprints, and we transpose the “common identity and common bond” theory into metrics to identify the skew of a group towards sociality or topicality. We directly validate the predictions of the sociological theory showing that the metrics are able to forecast with high accuracy the group type when compared to a human-generated ground truth. Last, we frame our contribution into a wider context by putting in relation different types of groups with communities detected algorithmically on the social graph and by showing the effect that the group type might have on processes of information diffusion. Results support the intuition that a more nuanced description of groups could improve not only the understanding of the activity of the user base but also the interpretation of other phenomena occurring on social graphs.en
- dc.description.sponsorship This work is supported by the SocialSensor FP7 project, partially funded by the EC under contract number 287975en
- dc.format.mimetype application/pdfca
- dc.identifier.citation Martin-Borregon D, Aiello LM, Grabowicz P, Jaimes A, Baeza-Yates R. Characterization of online groups along space, time, and social dimensions. EPJ Data Science. 2014; 3: 8. DOI 10.1140/epjds/s13688-014-0008-yca
- dc.identifier.doi http://dx.doi.org/10.1140/epjds/s13688-014-0008-y
- dc.identifier.issn 2193-1127ca
- dc.identifier.uri http://hdl.handle.net/10230/23268
- dc.language.iso engca
- dc.publisher SpringerOpenca
- dc.relation.ispartof EPJ Data Science. 2014; 3: 8
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287975
- dc.rights © 2014 Martin-Borregon et al.; licensee Springer. Open Access This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0
- dc.subject.keyword Social mediaen
- dc.subject.keyword Groupsen
- dc.subject.keyword Bond theoryen
- dc.subject.keyword Identity theoryen
- dc.subject.keyword Flickren
- dc.subject.other Xarxes socials en línia -- Aspectes socialsca
- dc.subject.other Moviments socialsca
- dc.subject.other Xarxes socials en línia -- Investigació -- Metodologiaca
- dc.title Characterization of online groups along space, time, and social dimensionsen
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca