New Approaches for Performance Optimization and Analysis of Large-Scale Dynamic Social Network Analysis using Anytime Anywhere Algorithms

During the last decade, the availability of large amounts of social network information from various social and socio-technical networks has increased dramatically. These data sources are inherently dynamic with constantly evolving relationships and connections between entities. Research in this are...

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Vydané v:	2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) s. 1123 - 1128
Hlavní autori:	Santos, Eunice E., Murugappan, Vairavan, Korah, John
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2020
Predmet:	Anytime Anywhere algorithms Buffer-based methods Graph algorithms and analysis Heuristic algorithms Large-scale dynamic social network analysis Measurement Optimization Parallel/Distributed algorithms Performance analysis Processor scheduling Program processors Runtime Social network services
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