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Sampling Emerging social behavior in facebook using randomwalk models

Piña-García, CA and Gu, D (2014) 'Sampling Emerging social behavior in facebook using randomwalk models.' Intelligent Systems Reference Library, 53. 185 - 196. ISSN 1868-4394

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Abstract

© Springer International Publishing Switzerland 2014. It has long been recognized that random walk models apply to a great diversity of situations such as: economics, mathematics and biophysics; current trends about Open Social Networks require new approaches for analyzing material publicly accessible. Thus, in this chapter we examine the potential of random walks to further our understanding about monitoring Social Behavior, taking Facebook as a case study. Although most of the work related to random walk models is traditionally used to generate animal movement paths, it is also possible to adapt classic diffusion models into exploratory algorithms with the aim to improve the ability to search under a complex environment. This algorithmic abstraction provides an analogy for a dissipative process within which trajectories are drawn through the virtual nodes of Facebook.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 08 Jan 2015 13:45
Last Modified: 23 Jan 2019 00:16
URI: http://repository.essex.ac.uk/id/eprint/12194

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