Now showing items 1-10 of 6338
Local Core Members Aided Community Structure Detection
(Springer New York LLC, 2019)
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.The relationship of friends in social networks can be strong or weak. Some research works have shown that a close relationship between friends conducts ...
A multilevel approach for overlapping community detection
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
Many real world complex networks have an a overlapping community structure, in which a vertex belongs to one or more communities. Numerous approaches for crisp overlapping community detection were proposed in the literature, ...
On the evaluation of community detection algorithms on heterogeneous social media data
One fundamental problem in social networks is the identification of groups of elements (also known as communities) when group membership is not explicitly available. Community detection has proven to be valuable in diverse ...
Applying community detection methods to cluster tags in multimedia search results
Multimedia searches often return items that can becategorized into several “topics”, allowing users to disambiguateand explore answers more efficiently. In this paper we investigatemethods for clustering tags associated ...
Detection and Reinforcement of Celiac Communities on Twitter Argentina
(Sociedad Argentina de Informática E Investigación Operativa, 2019-03)
Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used asa means to gather support, express ideas and opinions on various topicsor interact with users ...
Community detection in large-scale networks: a survey and empirical evaluation
(Wiley Online Library, 2016)
Weighting dissimilarities to detect communities in networks
(Royal Soc., 2015)
Many complex systems can be described as networks exhibiting inner organization as communities of nodes. The identification of communities is a key factor to understand community-based functionality. We propose a family ...