Dynamics of Private Social Networks

Authors: Jonathan Mifsud, Matthew Montebello

Corresponding: Jonathan Mifsud (jonathan.mifsud.07@um.edu.mt)

Keywords: Linked Data, Social Networks, Social Network Analysis, Semantic Network Analysis

Doi: http://dx.medra.org/10.7423/XJENZA.2014.2.02

Issue: Xjenza Online Vol. 2 Iss. 2 - October 2014

Abstract:
Social networks, have been a signicant turning point in ways individuals and companies interact. Various research has also revolved around public social networks, such as Twitter and Facebook. In most cases trying to understand what's happening in the network such predicting trends, and identifying natural phenomenon. Seeing the growth of public social networks several corpo- rations have sought to build their own private networks to enable their sta to share knowledge, and expertise. Little research has been done in regards to the value private networks give to their stake holders. This is primarily due to the fact as their name implies, these networks are private, thus access to internal data is limited to a trusted few. This paper looks at a particular online private social network, and seeks to investigate the research possibilities made available, and how this can bring value to the organisation which runs the network. Notwithstanding the limitations of the network, this paper seeks to explore the connections graph between members of the network, as well as understanding the topics discussed within the network. The ndings show that by visualising a social network one can assess the success or failure of their online networks. The Analysis conducted can also identify skill shortages within areas of the network, thus allowing cor- porations to take action and rectify any potential problems.

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