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Mining 'following' patterns from big but sparsely distribut..:
, In:
Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
,
Leung, Carson K.
;
Middleton, Ryan
;
Pazdor, Adam G. M.
. - p. 916-919 , 2018
Link:
https://dl.acm.org/doi/10.5555/3382225.3382419
RT T1 <cTitle>Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</cTitle>: T1 <Title>Mining 'following' patterns from big but sparsely distributed social network data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3382419&Exemplar=1&LAN=DE A1 Leung, Carson K. A1 Middleton, Ryan A1 Pazdor, Adam G. M. A1 Won, Yeyoung PB IEEE Press YR 2018 K1 big data K1 big data mining K1 data analytics K1 social network analysis K1 social networks K1 sparse network 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 916 OP 919 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3382225.3382419 DO https://dl.acm.org/doi/10.5555/3382225.3382419 SF ELIB - SuUB Bremen
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