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Dispersion of Cheating Behaviours in Online Social Networks

Shagufta Samreen1 , Shilpa. K.S2 , Sneha. K.B3 , Sneha Pal4 , Sagar. B5

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 133-137, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.133137

Online published on May 16, 2019

Copyright © Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B, “Dispersion of Cheating Behaviours in Online Social Networks,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.133-137, 2019.

MLA Style Citation: Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B "Dispersion of Cheating Behaviours in Online Social Networks." International Journal of Computer Sciences and Engineering 07.15 (2019): 133-137.

APA Style Citation: Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B, (2019). Dispersion of Cheating Behaviours in Online Social Networks. International Journal of Computer Sciences and Engineering, 07(15), 133-137.

BibTex Style Citation:
@article{Samreen_2019,
author = {Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B},
title = {Dispersion of Cheating Behaviours in Online Social Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {133-137},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1214},
doi = {https://doi.org/10.26438/ijcse/v7i15.133137}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.133137}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1214
TI - Dispersion of Cheating Behaviours in Online Social Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Shagufta Samreen, Shilpa. K.S, Sneha. K.B, Sneha Pal, Sagar. B
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 133-137
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

Social contact are know to be spread through human behaviours. The diffusion process on social networks has also been grip to spread the undesirable dispersion.The main attention is to attract the contagion of malicious or even criminal behaviors in online social networks. Here, we study the social contagion problem of cheating behavior found in the massively multiplayer online role playing game (MMORPG) that provides a lifelike environment with rich and realistic user interactions. It has a strong chance of being noticed by their friends and leading them to cheat themselves due to their abnormal behaviour. In this paper, we show the existence of the dispersion of cheating. We then explore various possible social reinforcement mechanisms after introducing several factors to quantify the effect of social reinforcement on the dispersion and analyze the dynamics of bot diffusion in an extensive user interaction log from a major MMORPG.

Key-Words / Index Term

Dispersion, SVM, Social influence model

References

[1] M. Bampo, M. T. Ewing, D. R. Mather, D. Stewart, and M. Wallace,``The effects of the social structure of digital networks on viral marketing performance,`` Inf. Syst. Res., vol. 19, no. 3, pp. 273_290, 2008.
[2] J. Goldenberg, B. Libai, and E. Müller, ``Talk of the network: A complex systems look at the underlying process of word-of-mouth,`` Marketing Lett., vol. 12, no. 3, pp. 211_223, 2001.
[3] T. Heverin and L. Zach, ``Use of microblogging for collective sensemaking during violent crises: A study of three campus shootings,`` J. Amer. Soc. Inf. Sci. Technol., vol. 63, no. 1, pp. 34_47, 2012.
[4] J. Kleinberg, ``The convergence of social and technological networks,`` Commun. ACM, vol. 51, no. 11, pp. 66_72, 2008
[5] M. Szell and S. Thurner, ``Measuring social dynamics in a massive multiplayer online game,`` Social Netw., vol. 32, no. 4, pp. 313_329, 2010.
[6] C. R. Shalizi and A. C. Thomas, ``Homophily and contagion are generically confounded in observational social network studies,`` Sociol. Methods Res., vol. 40, no. 2, pp. 211_239, 2011.
[7] S. Aral, L. Muchnik, and A. Sundararajan, ``Distinguishing influence based contagion from homophily-driven diffusion in dynamic networks,``
Proc. Nat. Acad. Sci. USA, vol. 106, no. 51, pp. 21544_21549, 2009.
[8] L. Coviello et al., ``Detecting emotional contagion in massive social networks,`` PLoS ONE, vol. 9, no. 3, p. e90315, 2014.
[9] S. Son, A. R. Kang, H.-C. Kim, T. Kwon, J. Park, and H. K. Kim, ``Analysis of context dependence in social interaction networks of a massively multiplayer online role-playing game,`` PLoS ONE, vol. 7, no. 4, p. e33918, 2012.
[10] A. Mislove, H. S. Koppula, K. P. Gummadi, P. Druschel, and
B. Bhattacharjee, ``Growth of the _ickr social network,`` in Proc. 1st
Workshop Online Social Netw., 2008, pp. 25_30.