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Estimating users' mode transition functions and activity le..:
, In:
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
,
Link, Hamilton
;
Wendt, Jeremy D.
;
Field, Richard V.
. - p. 1072-1079 , 2017
Link:
https://dl.acm.org/doi/10.1145/3110025.3116195
RT T1 <cTitle>Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017</cTitle>: T1 <Title>Estimating users' mode transition functions and activity levels from social media</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3116195&Exemplar=1&LAN=DE A1 Link, Hamilton A1 Wendt, Jeremy D. A1 Field, Richard V. A1 Marthe, Jocelyn PB ACM YR 2017 K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Web-based interaction SP 1072 OP 1079 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3110025.3116195 DO https://dl.acm.org/doi/10.1145/3110025.3116195 SF ELIB - SuUB Bremen
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