Social Network Behaviours to Explain the Spread of Online Game
Abstract
One of the most popular contents in the Internet nowadays is the game. An online game is a video game that is played through the Internet or another computer network. However, only a few studies were conducted on how online games became widely spread. This study aims to understand the underlying factors that led to the rapid spreading of online games through simulation. This could be a basis for game developers in choosing the right platform in order to infiltrate the most number of potential gamers. The factors namely the average online friends who access the network and the chances that lead to playing network games was simulated through a NetLogo software, an agent-based model, to understand the spread of online games. The results indicated that the average online friends who access the network (Degree) significantly affect the spread of online games. However, two caveats are needed to popularize the game. One way is to develop the game in a platform where social networks are already established like Facebook, Twitter, Google+, LinkedIn and the like. Secondly, build an online social network on top of the digital games delivery platform such as Steam Community.
Keywords:
Internet/network, agent-based model/NetLogo software, PC, spread
References
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Choi, D., & Kim, J. (2004). Why people continue to play online games: In search of cultural design factors to increase customer loyalty to online contents. CyberPsychology and Behavior, 7(1), 11-24. Retrieved from http://doi.org/10.1089
Djidjev, C. (2015). Spread of viruses on a computer network. New Mexico Supercomputing Challenge.
Dongseong, C., & Jinwoo, K. (2004). Cyber Psychology & Behavior. 7 (1): 11-24. Retrieved from doi:10.1089/109493104322820066
Griffiths, M.D., & Davies, M N.O., and Chappell, D. (2004). CyberPsychology & Behavior. 7(4): 479-487. Retrieved from doi:10.1089/cpb.2004.7.479
Ghuma, D. (2012). A cross-genre study of online gaming: Player demographics, motivation for play, and social interactions among players. International Journal of Cyber Behavior, Psychology and Learning 2(1), 17.
Kohli, P., Bacharach, Y, Graepel, T., & Smyth, G. (2012). Behavioral game theory on online social network: Colonel Blotto is on Facebook. Cs. Umars. Edi, 1-5. Retrieved from http://www.cs.umans.edu/nwallach/workshops/nips2011css.papers/kohli.pdf
Lee, J., Lee, M., & Choi, I.H. ( 2012). Social network games uncovered: Motivations and their attitudinal and behavioural outcomes Cyberpsychology, Behaviour, and Social Networking, 15(12), 1-6.
Montanari, A., & Amin, S. (2010). The spread of innovations in social networks. Department of Electrical Engineering and Department of Statistics, and Department of Management Science and Engineering, Stanford University, Stanford, CA 94305 In B. Skyrms (ed.). University of California, Irvine, CA.
Montanari, A, & Saberi, A. (2010). The spread of innovation in social networks. Proceeding of the National Academy of Sciences 107 (47), 20196-20201. Retrieved from http://doi.org/10.1073/pnas.1003098107
Siitonen, M. (2009). Social interaction in online multiplayer communities. Proceedings of the 13th International MindTrek Conference: Everyday life in the ubiquitous era on MindTrek ‘09, 4. Retrieved from https://doi.org/101145/162/841.1621858
The State of Gaming 2014. Retrieved on April 8, 2016, from http://www.bigfishgames.com/blog/2014-global-gaming-stats-whos-playing-what-and-why/)
Wilensky, U. (1999). NetLogo. Center for Connected Learning and Computer-Based Modeling. Evanston, IL: Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo/
