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Graph Models of Social Media Network As Applied to Facebook and Facebook Messenger Groups

Tsok Samuel Hwere, Hosea Yakubu and Rwat Solomon Isa

Abstract

Graphs are extensively used to model social structures based on different kinds of relationships between people or groups of people. Facebook can conveniently be modelled using graphs, the connection between individuals in Facebook media can be described using graphs, ranging from two individuals connected, communication between different Facebook friends and Facebook messenger groups, this paper comfortably explained this idea with graphs models. The idea of influences or directed graphs, acquaintance or undirected graphs, collaboration graphs and adjacent matrix as it’s applied to Facebook groups has been presented

Keywords

Graph ModelsSocial Media NetworkFacebook groupscollaboration graphsinfluences graphAcquaintances graph.

References

Dinithi P., Lei P., “Investigating Facebook Groups through a Random Graph Model” Journal of Multimedia, Vol. 9, No. 1 (2014), School of Information Systems, School of Information Technology, Deakin University, 221 Burwood HWY, Burwood, VIC 3125, Australia Easttom Chucks, “Applying Graph Theory to Modeling Investigations.” IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 13, Issue 2 (2017) Ver. V. PP 47-51 HYPERLINK "http://www.iosrjournals.org" www.iosrjournals.org Facebook.com “Facebook Statistics,” 2013 Retrieved on 02/09/2013 http://www.facebook.com/press/infor.php?statistics J. Seligman, F. Liu, and P. Girard, “Logic in the community,” Logic and Its Applications, (2011) pp. 178–188,. Kenneth H. Rosen, Discrete Mathematics and Its Applications, published by McGraw- Hill, Seventh edition (2012) pp641-644 T. Jech, Set Theory, 3rd ed. Springer, (2006). Tsok S. H., Rwat S. I., Hosea Y. “Graph Models Of Social Media Network As Related To WhatsApp Groups”. International Journal of Innovative Mathematics, Statistics & Energy Policies (2020), 8(1):24-31, SEAHI PUBLICATIONS, 2019 www.seahipaj.orgISSN: 2467-852X

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