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In a World That Counts : Clustering and Detecting Fake S..:

, In: Proceedings of the 25th International Conference on World Wide Web,

Li, Yixuan ; Martinez, Oscar ; Chen, Xing.. - p. 111-120 , 2016

Link: https://dl.acm.org/doi/10.1145/2872427.2882972

RT 
T1 <cTitle>Proceedings of the 25th International Conference on World Wide Web</cTitle>: T1 <Title>In a World That Counts				: Clustering and Detecting Fake Social Engagement at Scale</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2882972&Exemplar=1&LAN=DE
				
A1 Li, Yixuan
A1 Martinez, Oscar
A1 Chen, Xing
A1 Li, Yi
A1 Hopcroft, John E.
PB International World Wide Web Conferences Steering Committee
YR 2016
K1 anomaly detection
K1 fake social engagement
K1 local spectral clustering
K1 seed expansion
K1 social networks
K1 Mathematics of computing
K1 Discrete mathematics
K1 Graph theory
K1 Spectra of graphs
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Clustering
K1 World Wide Web
K1 Web searching and information discovery
K1 Web search engines
K1 Spam detection
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Semi-supervised learning
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Spectral methods
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Social networks
SP 111
OP 120
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2872427.2882972
DO https://dl.acm.org/doi/10.1145/2872427.2882972
SF ELIB - SuUB Bremen

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