Social Network Evolution: A Case Study of UK Directors

Azar Shahgholian, Babis Theodoulidis, Uttam Bansal

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Social network can be seen as a dynamic process of creating and breaking down relationships among network members. The network evolution is of major interest to researchers in this area due to discovering patterns of structural changes in the network. In this study, the evolution of UK directors' social network is examined. The study carried out on a systematic analysis of network properties and evolution factors. The network properties include shortest path, number of shared affiliations, cyclic closure and triadic closure property. It is observed that directors who are not connected directly in specific year and have only a single intermediary between them are more likely to form a connection in the future than the directors with two intermediaries. Moreover, the number of mutual friends increases the chances of a connection between the directors in future.
    Original languageEnglish
    Title of host publication2012 Third International Conference on Services in Emerging Markets
    PublisherIEEE
    Pages107-114
    Number of pages8
    ISBN (Print)978-0-7695-4937-8
    DOIs
    Publication statusPublished - Dec 2012

    Keywords

    • Companies
    • Data mining
    • Dynamic social network analysis
    • Economics
    • Educational institutions
    • Employment
    • Graph theory
    • Network of UK directors
    • Social network evolution
    • Social network services
    • Sociology
    • UK company director social network evolution
    • cyclic closure
    • data mining
    • dynamic process
    • evolution factors
    • mutual friends
    • network members
    • network properties
    • network theory (graphs)
    • organisational aspects
    • relationship breaking
    • relationship creation
    • shared affiliation number
    • shortest path
    • social sciences
    • structural change pattern discovery
    • systematic analysis
    • triadic closure property

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