Modeling multi-user behaviour in social networks
File(s)
Accepted version
Author(s)
Chis, T
Harrison, PG
Type
Conference Paper
Abstract
Social networks, and the behaviour of groups of online users, are popular topics in modeling and classifying Internet traffic data. There is a need to analyze online network performance metrics through suitable workload benchmarks. We address this issue with a Multi-dimensional Hidden Markov Model (MultiHMM) to act as a Multi-User workload classifier. The MultiHMM is an adaptation of the original HMM, using clustering methods and multiple trace-training for the Baum-Welch algorithm. The goals of the MultiHMM are to classify multiple online user streams with minimal processing needs, represent burstiness and correlation among groups of users and to improve security measures in the social network. Experiments are carried out using multiple traces from Twitter data, where original traces are analysed and compared with the MultiHMM-generated traces. The metrics involved in validating our model include means, standard deviations, skew ness and autocorrelation, and we discuss applications and extensions of our model.
Date Issued
2014-09-09
Date Acceptance
2014-05-15
Citation
Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS, 2014, (February), pp.168-173
ISBN
978-1-4799-5610-4
ISSN
1526-7539
Publisher
IEEE
Start Page
168
End Page
173
Journal / Book Title
Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
Issue
February
Copyright Statement
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE 22nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Publication Status
Published
Start Date
2014-09-09
Finish Date
2014-09-11
Coverage Spatial
Paris, France