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Social network analysis in virtual environments

Published: 29 June 2009 Publication History

Abstract

Multi-user virtual environments (MUVEs) allow users to navigate and explore the environment as well as interact with other users. The interaction within these environments is often text-based using Internet relay chat (IRC) and related systems. IRC poses a difficulty for researchers looking to analyze and interpret the communicative interaction since data is stored in the form of chatlogs. The current research proposes and applies methodological procedures for the representation and analysis of interaction in MUVEs as social networks. A case study on SciCentr programs from Cornell University is used to elaborate methods and related findings.

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  • (2014)Investigating substructures in goal oriented online communities: Case study of Ubuntu IRC2014 IEEE International Advance Computing Conference (IACC)10.1109/IAdCC.2014.6779445(916-922)Online publication date: Feb-2014
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cover image ACM Conferences
HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia
June 2009
410 pages
ISBN:9781605584867
DOI:10.1145/1557914
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 June 2009

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Author Tags

  1. computer mediated communication
  2. internet relay chat
  3. multi-user virtual environments
  4. social networks
  5. virtual worlds

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Cited By

View all
  • (2015)From contingencies to network-level phenomenaProceedings of the Fifth International Conference on Learning Analytics And Knowledge10.1145/2723576.2723626(368-377)Online publication date: 16-Mar-2015
  • (2015)Identifying Uptake, Sessions, and Key Actors in a Socio-technical NetworkProceedings of the 2015 48th Hawaii International Conference on System Sciences10.1109/HICSS.2015.204(1696-1705)Online publication date: 5-Jan-2015
  • (2014)Investigating substructures in goal oriented online communities: Case study of Ubuntu IRC2014 IEEE International Advance Computing Conference (IACC)10.1109/IAdCC.2014.6779445(916-922)Online publication date: Feb-2014
  • (2013)Social Navigation for Learning in Immersive WorldsSynthetic Worlds10.1007/978-1-4614-6286-6_5(119-136)Online publication date: 11-Apr-2013
  • (2012)Personalized language modeling by crowd sourcing with social network data for voice access of cloud applications2012 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT.2012.6424220(188-193)Online publication date: Dec-2012
  • (2011)Social and semantic network analysis of chat logsProceedings of the 1st International Conference on Learning Analytics and Knowledge10.1145/2090116.2090137(134-139)Online publication date: 27-Feb-2011
  • (2010)Social networks and online environments: when science and practice co-evolveSocial Network Analysis and Mining10.1007/s13278-010-0011-71:1(27-42)Online publication date: 5-Oct-2010
  • (2009)Extended social networkProceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry10.1145/1670252.1670263(41-46)Online publication date: 14-Dec-2009

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