#mytweet via Instagram: Exploring User Behaviour across Multiple Social
  Networks

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Abstract

We study how users of multiple online social networks (OSNs) employ and share information by studying a common user pool that use six OSNs - Flickr, Google+, Instagram, Tumblr, Twitter, and YouTube. We analyze the temporal and topical signature of users' sharing behaviour, showing how they exhibit distinct behaviorial patterns on different networks. We also examine cross-sharing (i.e., the act of user broadcasting their activity to multiple OSNs near-simultaneously), a previously-unstudied behaviour and demonstrate how certain OSNs play the roles of originating source and destination sinks.

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Publication date Created: 2015-07-13

Publication date Updated: 2015-07-14

Article

DOI: 10.1145/2808797.2808820

ArXiV ID: 1507.03510

SO-VID: 47d99cc7-9073-44dc-ab11-79172fc2756a

License:

http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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Comments IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015. This is the pre-peer reviewed version and the final version is available at http://wing.comp.nus.edu.sg/publications/2015/lim-et-al-15.pdf

Categories cs.SI

ScienceOpen disciplines: Social & Information networks

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ScienceOpen disciplines: Social & Information networks