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...
An understanding of how people in social networks consume news media by and about their friends shows that information overload is soon going to be a major problem for many partic...
Healthcare organizations worldwide are faced with the growing challenge of introducing structural and technological reforms and cost-effective IT solutions that will transform the...
Abstract. Closeness centrality is an important concept in social network analysis. In a graph representing a social network, closeness centrality measures how close a vertex is to ...
Information gathering from multimedia retrieval systems is aided by effective visualization, but the degree to which visualization is effective depends in part on the way the cont...