An Approach for Characterizing Group-Based Interactive Environments

Research output: Chapter in Book/Report/Conference proceedingChapter


Current developments on Internet and mobile computing platforms have been providing improved functionalities to enable new mechanisms for user interaction and for disseminating information. These web-based environments/applications generate large amounts of information posing the need for efficient mechanisms to identify and extract relevant information both for individual users and for groups of users. It is also known that humans tend to interact with each other in order to share information and cooperate to achieve common goals in professional, social and personal contexts. That is why it seems natural to aggregate users in groups that somehow reflect their similar interests and affinities. As groups typically reflect similarity and proximity relationships among their members, it is expected that their usage help guiding/improving the search for relevant information concerning their common interests and affinities. It can also contribute to improve related group functionalities, such as user and group application personalization, and promote interaction and collaboration among users. In this chapter, we present a brief study of group-related functionalities in social interactive environments. We present an approach for the characterization of groups utility based on a set of indicators that are used for assisting the management of the groups lifecycle, concerning group membership and shared information on the particular case of Facebook.
Original languageEnglish
Title of host publicationDistributed Systems and Applications of Information Filtering and Retrieval
Subtitle of host publicationDART 2012: Revised and Invited Papers
EditorsCristian Lai, Alessandro Giuliani, Giovanni Semeraro
Place of PublicationHeidelberg
PublisherSpringer Berlin Heidelberg
ISBN (Electronic)978-3-642-40621-8
ISBN (Print)978-3-642-40620-1
Publication statusPublished - 2014

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Berlin Heidelberg
ISSN (Print)1860-949X


  • Groups
  • Social networks
  • Information relevance


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