Abstract
Analyzing dynamic information networks, which contain evolving objects and links, has attracted much attention in recent years. For sales companies, recruiting staff who are socialites would help to increase sales volume since such staff often sell more. For universities, employing active collaborators who are productive and well connected to many different scholars over time could bring many benefits to their development. However, no previous work has focused on socialites and active collaborators who are worthy of investment in reality. In this paper, we advocate attractive individuals to model such special objects, and introduce attractive groups to represent groups of well-connected attractive individuals. Then we propose several algorithms to search attractive individuals and groups. Extensive experiments show high performance of our methods and the significance of attractive individuals and groups in reality.
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