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RSN 2015 - International Workshop on Resilience in Social Network: Trends and Dynamics (RSN2015)

Date2015-08-25 - 2015-08-28

Deadline2015-04-30

VenueParis, France France

Keywords

Websitehttps://sites.google.com/site/workshopasonam

Topics/Call fo Papers

The popularity, access and rapid growth of online social network (OSN) has been so integral part of society, that at seldom it empathetically influences the basics of social network structure from homophily, i.e. the idea that networking is supported by similarity in behavior; and conformity, i.e. the inclination towards similar behavior induced by interaction. Most social networks in reality exhibit some common topological features, including the small-world, the scale-free phenomena, the power-law degree distribution, and notably, the property of containing community structure where there are
groups of users with more social interactions within a group compared to among groups. But still, with such tightened and conventional attributes, we observe the sudden shift from a sparse to a highly connected network and even a gradually sustained disappearance of individual or community takes place across OSN. The sudden shrinkage and resilience of social network put plenty of debates over social network hierarchy, its influence, stability of online community and to some extent the commercial positioning of social network as well. There are certain structured analyses to grab the dynamics of
social network community, but there is still a substantial visible gap to encamp the rate of dynamics of social network computationally. This proposed symposium on Resilience in Social Network: Trends and Dynamics are to shed light on these questions and within a general framework to measure computationally and analytically rich range of social network dynamics.
? Expected Outcome
The promising outcome of the proposed workshop is not only to yield a contemporary analysis, but also the applicable and a more relevant understanding of social network resilience could juxtapose the present social network topology. Further it may successfully put a bench mark on the functional aspects of social network. The output could be cumulatively self-reinforcing, which could be induced by the interplay of multiple complementary considerations. The choice between game theory and certain other dynamic behavior of social network may also indicate future aspects of online business, market model, stability of on line community and believable events across them. As the theme of workshop is completely interdisciplinary and therefore computationally, the numerical measure of the cause of such social resilience can be an emerging need to consolidate social network structure and relevant network topologies.

Last modified: 2015-03-22 14:56:31