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Link Clustering for Extracting Collaborative Patterns in a ..:
, In:
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
,
Stattner, Erick
;
Collard, Martine
- p. 1002-1008 , 2017
Link:
https://dl.acm.org/doi/10.1145/3110025.3110146
RT T1 <cTitle>Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017</cTitle>: T1 <Title>Link Clustering for Extracting Collaborative Patterns in a Scientific Co-Authored Network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3110146&Exemplar=1&LAN=DE A1 Stattner, Erick A1 Collard, Martine PB ACM YR 2017 K1 Social network K1 collaborative network K1 data mining K1 frequent patterns K1 network clustering K1 Information systems K1 Information systems applications K1 Data mining K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Web-based interaction SP 1002 OP 1008 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3110025.3110146 DO https://dl.acm.org/doi/10.1145/3110025.3110146 SF ELIB - SuUB Bremen
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