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1 Ergebnisse
1
The Solution Distribution of Influence Maximization: A High..:
, In:
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
,
Ohsaka, Naoto
- p. 2151-2166 , 2020
Link:
https://dl.acm.org/doi/10.1145/3318464.3380564
RT T1 <cTitle>Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data</cTitle>: T1 <Title>The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3380564&Exemplar=1&LAN=DE A1 Ohsaka, Naoto PB ACM YR 2020 K1 graph algorithms K1 influence maximization K1 performance evaluation K1 Information systems K1 Data management systems K1 Database administration K1 Database performance evaluation K1 Theory of computation K1 Design and analysis of algorithms K1 Graph algorithms analysis K1 World Wide Web K1 Web applications K1 Social networks SP 2151 OP 2166 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318464.3380564 DO https://dl.acm.org/doi/10.1145/3318464.3380564 SF ELIB - SuUB Bremen
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