• DocumentCode
    3157746
  • Title

    Dealing with Disappearance of an Actor Set in Social Networks

  • Author

    Sarr, I. ; Missaoui, Rokia ; Lalande, R.

  • Author_Institution
    Univ. Cheikh Anta Diop, Dakar, Senegal
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    493
  • Lastpage
    500
  • Abstract
    Social networks are dynamic structures that contain a set of entities and links. In such a dynamic environment, a specific node or a group of nodes can play an important role in the information flow transmission within the network and therefore, its disappearance may lead to a disconnected network or a breakdown in the information flow. The objective of this paper is to extend our previous work on managing a node disappearance to handling the disappearance of a group of nodes. The proposed approach relies on the role played by a group of nodes to conduct network changes and maintain the network connected while restoring the information flow with a similar quality as before the group disappearance. We consider two situations (only one versus many communities) and categorize groups of nodes into three classes (scattered, contiguous and hybrid). Hence, we manage a group disappearance with respect to its class and the network topology by adding new links in a parsimonious way and finding a substitute for a leaving group. Our approach differs from existing link prediction solutions by the fact that it uses the information flow quality as a key performance indicator to identify the potential links to add and/or the possible substitute to a disappearing group. We implement a prototype by using an open source social network analysis library (NetworkX) and we validate our solution through experiments. The results show the benefits of our solution in terms of response time and the number of added links.
  • Keywords
    group theory; information dissemination; network theory (graphs); network topology; social networking (online); actor set; disconnected network; dynamic environment; dynamic structure; group disappearance; information flow breakdown; information flow quality; information flow transmission; link prediction solution; network topology; node disappearance handling; node disappearance management; open source social network analysis; Communities; Electric breakdown; Electronic mail; Measurement; Network topology; Nickel; Social network services; Social network analysis; dynamic network; information flow; link prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.85
  • Filename
    6425719