Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users

Michael Steurer, Christoph Trattner

Research output: Book/ReportBook

LanguageEnglish
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
EditionMining Ubiquitous and Social Environments
StatusPublished - 2013

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer-Verlag

Fields of Expertise

  • Information, Communication & Computing

Cite this

Steurer, M., & Trattner, C. (2013). Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users. (Mining Ubiquitous and Social Environments ed.) (Lecture Notes in Computer Science (LNCS)). Berlin, Heidelberg: Springer Verlag.

Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users. / Steurer, Michael; Trattner, Christoph.

Mining Ubiquitous and Social Environments ed. Berlin, Heidelberg : Springer Verlag, 2013. (Lecture Notes in Computer Science (LNCS)).

Research output: Book/ReportBook

Steurer, M & Trattner, C 2013, Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users. Lecture Notes in Computer Science (LNCS), Mining Ubiquitous and Social Environments edn, Springer Verlag, Berlin, Heidelberg.
Steurer M, Trattner C. Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users. Mining Ubiquitous and Social Environments ed. Berlin, Heidelberg: Springer Verlag, 2013. (Lecture Notes in Computer Science (LNCS)).
Steurer, Michael ; Trattner, Christoph. / Who will Interact with Whom? A Case-Study in Second Life using Online Social Network and Location-based Social Network Features to Predict Interactions between Users. Mining Ubiquitous and Social Environments ed. Berlin, Heidelberg : Springer Verlag, 2013. (Lecture Notes in Computer Science (LNCS)).
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