PropertyValue
?:abstract
  • Social networks have received extensive attention among researchers across a wide range of disciplines such as computer science, physics, and sociology. This paper mainly overviews a variety of approaches for three problems in real-world life scenarios. The first problem is about influence diffusion, in which influence represents news, ideas, information, and so forth; the second one concerns with partitioning social networks into communities efficiently; and the third one is to predict the hidden or possible new links between individuals in the future based on the existing or observed information. ()
?:citationCount
  • 0 ()
?:cites
?:created
  • 2016-06-24 ()
?:creator
?:doi
  • 10.1007/978-1-4614-7582-8_11 ()
?:endingPage
  • 325 ()
?:estimatedCitationCount
  • 0 ()
?:hasDiscipline
?:hasURL
?:language
  • en ()
?:publicationDate
  • 2013-01-01 ()
?:publisher
  • Springer, New York, NY ()
?:rank
  • 22392 ()
?:referenceCount
  • 75 ()
?:startingPage
  • 305 ()
?:title
  • Influence Diffusion, Community Detection, and Link Prediction in Social Network Analysis ()
?:type

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