TY - GEN
T1 - A new community detection algorithm based on makov-chains and a team formation model
AU - McSweeney, Patrick J.
AU - Mehrotra, Kishan
AU - Oh, Jae C.
PY - 2009
Y1 - 2009
N2 - Detecting community structure in complex networks is an active area of research that locates dense regions of connections in networks. We suggest a novel algorithm for community detection using a new node-node association metric (based on Markov-Chains) and a team formation model.
AB - Detecting community structure in complex networks is an active area of research that locates dense regions of connections in networks. We suggest a novel algorithm for community detection using a new node-node association metric (based on Markov-Chains) and a team formation model.
UR - http://www.scopus.com/inward/record.url?scp=70349814228&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349814228&partnerID=8YFLogxK
U2 - 10.1109/ASONAM.2009.57
DO - 10.1109/ASONAM.2009.57
M3 - Conference contribution
AN - SCOPUS:70349814228
SN - 9780769536897
T3 - Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
SP - 371
EP - 372
BT - Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
T2 - 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Y2 - 20 July 2009 through 22 July 2009
ER -