Online communities are connecting large numbers of individuals and generating rich social network data, opening the way for empirical studies of social behavior. In this paper, we ...
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Nearest neighbor (NN) searches represent an important class of queries in geographic information systems (GIS). Most nearest neighbor algorithms rely on static distance informatio...
Wei-Shinn Ku, Roger Zimmermann, Haojun Wang, Chi-N...
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
Background: There has been tremendous interest in the study of biological network structure. An array of measurements has been conceived to assess the topological properties of th...