Love all, trust a few: Link prediction for trust and psycho-social factors in MMOs

Muhammad Aurangzeb Ahmad, Zoheb Borbora, Jaideep Srivastava, Noshir Contractor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Massively Multiplayer Online Games (MMOGs) where millions of people can interact with one another have been described as mirrors of human societies and offer excellent venues to analyze human behavior at both the psychological as well as the social level. Within the context of predictive analysis (link prediction as a classification task) in MMOGs, the connection between psycho-sociological theories of communication networks. A mapping of how various elements of trust and other social interactions (mentoring, adversarial relationship, trade) relate to prediction tasks is also established. Results from classification experiments indicate that social environments affect prediction tasks in cooperative vs. adversarial environments in MMOGs and the implications of these results for generalizability of link prediction algorithms is also analyzed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages123-130
Number of pages8
Volume7227 LNCS
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012 - College Park, MD
Duration: 3 Apr 20125 Apr 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7227 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012
CityCollege Park, MD
Period3/4/125/4/12

Fingerprint

Prediction
Game
Link Analysis
Communication Theory
Social Interaction
Human Behavior
Communication Networks
Telecommunication networks
Mirror
Experiment
Experiments
Trade
Relationships
Context
Human
Predictive analytics

Keywords

  • Adversarial environments
  • MMOs
  • Prediction and Psycho-Social Theories
  • Trust in social networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ahmad, M. A., Borbora, Z., Srivastava, J., & Contractor, N. (2012). Love all, trust a few: Link prediction for trust and psycho-social factors in MMOs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7227 LNCS, pp. 123-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7227 LNCS). https://doi.org/10.1007/978-3-642-29047-3_15

Love all, trust a few : Link prediction for trust and psycho-social factors in MMOs. / Ahmad, Muhammad Aurangzeb; Borbora, Zoheb; Srivastava, Jaideep; Contractor, Noshir.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7227 LNCS 2012. p. 123-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7227 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmad, MA, Borbora, Z, Srivastava, J & Contractor, N 2012, Love all, trust a few: Link prediction for trust and psycho-social factors in MMOs. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7227 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7227 LNCS, pp. 123-130, 5th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2012, College Park, MD, 3/4/12. https://doi.org/10.1007/978-3-642-29047-3_15
Ahmad MA, Borbora Z, Srivastava J, Contractor N. Love all, trust a few: Link prediction for trust and psycho-social factors in MMOs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7227 LNCS. 2012. p. 123-130. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-29047-3_15
Ahmad, Muhammad Aurangzeb ; Borbora, Zoheb ; Srivastava, Jaideep ; Contractor, Noshir. / Love all, trust a few : Link prediction for trust and psycho-social factors in MMOs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7227 LNCS 2012. pp. 123-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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