Making social interactions accessible in online social networks

Authors:
Fredrik Erlandsson;Roozbeh Nia;Henric Johnson;Felix S. Wu
Affiliations:
University of California, Davis, CA, USA;University of California, Davis, CA, USA;Blekinge Institute of Technology, Karlskrona, Sweden;University of California, Davis, CA, USA
Venue:
Information Services and Use - Mining the Digital Information Networks
Year:
2013

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Abstract

Online Social Networks OSNs have changed the way people use the internet. Over the past few years these platforms have helped societies to organize riots and revolutions such as the Arab Spring or the Occupying Movements. One key fact in particular is how such events and organizations spread through out the world with social interactions, though, not much research has been focused on how to efficiently access such data and furthermore, make it available to researchers. While everyone in the field of OSN research are using tools to crawl this type of networks our approach differs significantly from the other tools out there since we are getting all interactions related to every single post. In this paper we show means of developing an efficient crawler that is able to capture all social interactions on public communities on OSNs such as Facebook.