Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/2340
Title: Dynamics of private social networks
Authors: Mifsud, Jonathan
Montebello, Matthew
Keywords: Social networks
Linked data
Social sciences -- Network analysis
Issue Date: 2014
Publisher: Malta Chamber of Scientists
Citation: Xjenza. 2014, Vol.2(2), p. 8-13
Abstract: Social networks, have been a significant 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 corporations have sought to build their own private networks to enable their staff 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 findings 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 corporations to take action and rectify any potential problems.
URI: https://www.um.edu.mt/library/oar//handle/123456789/2340
Appears in Collections:Xjenza, 2014, Volume 2, Issue 2
Xjenza, 2014, Volume 2, Issue 2

Files in This Item:
File Description SizeFormat 
Dynamics of Private Social Networks.pdf1.59 MBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.