—Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interestin...
Gilbert Wondracek, Thorsten Holz, Engin Kirda, Chr...
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
Online social networks are formed when web applications allow users to contribute to an online community. The explosive growth of these social networks taxes the management capaci...
Phillip J. Windley, Devlin Daley, Bryant Cutler, K...
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
In this paper, we present a horizontal view of social influence, more specifically a quantitative study of the influence of neighbours on the probability of a particular node to jo...
Previous research in Kyrgyzstan has demonstrated the importance of close social networks as avenues for gathering and sharing information, assistance and goods in the country. How...
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
Much thinking about digital cities is in terms of community groups. Yet, the world is composed of social networks and not of groups. This paper traces how communities have changed ...