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

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

Publikation: Buch/Bericht/Konferenzband › Buch (Autorenwerk)

Originalsprache	englisch
Erscheinungsort	Berlin, Heidelberg
Verlag	Springer Verlag
Auflage	Mining Ubiquitous and Social Environments
Publikationsstatus	Veröffentlicht - 2013

Publikationsreihe

Name	Lecture Notes in Computer Science (LNCS)
Herausgeber (Verlag)	Springer-Verlag

Fields of Expertise

Information, Communication & Computing

Dieses zitieren

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 Aufl. Berlin, Heidelberg: Springer Verlag, 2013. (Lecture Notes in Computer Science (LNCS)).

Publikation: Buch/Bericht/Konferenzband › Buch (Autorenwerk)

@book{0989e76cca144543a9c56683ac43d061,

title = "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",

author = "Michael Steurer and Christoph Trattner",

year = "2013",

language = "English",

series = "Lecture Notes in Computer Science (LNCS)",

publisher = "Springer Verlag",

address = "Germany",

edition = "Mining Ubiquitous and Social Environments",

}

TY - BOOK

T1 - 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

AU - Steurer, Michael

AU - Trattner, Christoph

PY - 2013

Y1 - 2013

M3 - Book

T3 - Lecture Notes in Computer Science (LNCS)

BT - 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

PB - Springer Verlag

CY - Berlin, Heidelberg

ER -