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In most real life networks such as social networks and biology networks, a node often involves in multiple overlapping communities. Thus, overlapping community discovery has drawn a great deal of attention and there is a lot of research on it. However, most work has focused on community detection, which takes the whole network as input and derives all communities at one time. Community detection can...
As complex networks become ubiquitous, an increasing emphasis is being put on identifying topic clusters from the hidden networks. The result of identification can provide valuable support for topic-based entity search. However, current identification models focus on limited factors (either meta-description or entity feature of networks) and lack the derivation process for topic clusters, which often...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.