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Finding reliable users and social networks in a social internetworking system

Published: 16 September 2009 Publication History

Abstract

Social internetworking systems are a significantly emerging new reality; they group together a set of social networks and allow their users to share resources, to acquire opinions and, more in general, to interact, even if these users belong to different social networks and, therefore, did not previously know each other. In this context the notions of trust and reputation play a very relevant role. These notions have been widely studied in the past in several contexts whereas they have been largely neglected in the social internetworking research; however, since this application field presents several peculiarities, the results found in other application contexts are not automatically valid here. This paper introduces a model to represent and handle trust and reputation in a social internetworking system and proposes an approach that exploits these parameters to provide users with suggestions about the most reliable persons they can contact or social networks they can register to.

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cover image ACM Conferences
IDEAS '09: Proceedings of the 2009 International Database Engineering & Applications Symposium
September 2009
347 pages
ISBN:9781605584027
DOI:10.1145/1620432
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: 16 September 2009

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Author Tags

  1. social internetworking
  2. social networks
  3. trust and reputation computation

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  • Research-article

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IDEAS '09
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  • ACM
  • Concordia University

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Overall Acceptance Rate 74 of 210 submissions, 35%

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Cited By

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  • (2018)A paradigm for the cooperation of objects belonging to different IoTsProceedings of the 22nd International Database Engineering & Applications Symposium10.1145/3216122.3216171(157-164)Online publication date: 18-Jun-2018
  • (2018)On relational learning and discovery in social networks: a surveyInternational Journal of Machine Learning and Cybernetics10.1007/s13042-018-0823-8Online publication date: 17-May-2018
  • (2015)Forming Homogeneous Classes for e-Learning in a Social Network ScenarioIntelligent Distributed Computing IX10.1007/978-3-319-25017-5_13(131-141)Online publication date: 18-Oct-2015
  • (2014)Analyzing user behavior across social sharing environmentsACM Transactions on Intelligent Systems and Technology10.1145/25355265:1(1-31)Online publication date: 3-Jan-2014
  • (2014)Recommending Users in Social Networks by Integrating Local and Global ReputationInternet and Distributed Computing Systems10.1007/978-3-319-11692-1_37(437-446)Online publication date: 2014
  • (2014)Matching Users with Groups in Social NetworksIntelligent Distributed Computing VII10.1007/978-3-319-01571-2_7(45-54)Online publication date: 2014
  • (2013)A Distributed Agent-Based Approach for Supporting Group Formation in P2P e-LearningProceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 824910.1007/978-3-319-03524-6_27(312-323)Online publication date: 4-Dec-2013
  • (2012)An approach to deriving a virtual thematic folksonomy based system from a social inter-folksonomy based scenarioWeb Intelligence and Agent Systems10.5555/2590069.259007010:4(361-384)Online publication date: 1-Oct-2012
  • (2012)Optimal State Management of Data Sharing in Online Social Network (OSN) ServicesProceedings of the 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications10.1109/TrustCom.2012.216(648-655)Online publication date: 25-Jun-2012
  • (2012)A novel measure of edge centrality in social networksKnowledge-Based Systems10.1016/j.knosys.2012.01.00730(136-150)Online publication date: 1-Jun-2012

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