“Nerds of a Feather”: Homophilic Drivers of Worldwide Video Game Viewership on Twitch

References

• Chen, C. C., & Lin, Y. C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293–303. doi:10.1016/j.tele.2017.12.003
   Web of Science ®Google Scholar
• De Matos, M. G., Ferreira, P., & Krackhardt, D. (2014). Peer influence in the diffusion of iPhone 3G over a large social network. MIS Quarterly, 38(4), 1103–1134. doi:10.25300/MISQ/2014/38.4.08
   Web of Science ®Google Scholar
• Diwanji, V., Reed, A., Ferchaud, A., Seibert, J., Weinbrecht, V., & Sellers, N. (2020). Don’t just watch. Join In: Exploring Information Behavior and Copresence on Twitch. Computers in Human Behavior, 105, 106221. doi:10.1016/j.chb.2019.106221
   Web of Science ®Google Scholar
• Gu, B., Konana, P., Raghunathan, R., & Chen, H. M. (2014). Research note—The allure of homophily in social media: Evidence from investor responses on virtual communities. Information Systems Research, 25(3), 604–617. doi:10.1287/isre.2014.0531
   Web of Science ®Google Scholar
• Han, X., Wang, L., Crespi, N., Park, S., & Cuevas, Á. (2015). Alike people, alike interests? Inferring interest similarity in online social networks. Decision Support Systems, 69, 92–106. doi:10.1016/j.dss.2014.11.008
   Web of Science ®Google Scholar
• Hegde, D., & Tumlinson, J. (2014). Does social proximity enhance business partnerships? Theory and evidence from ethnicity’s role in US venture capital. Management Science, 60(9), 2355–2380. doi:10.1287/mnsc.2013.1878
   Web of Science ®Google Scholar
• Hernandez, P. (2018, July 16). The Twitch streamers who spend years broadcasting to no one. The Verge. Retrieved from https://www.theverge.com/2018/7/16/17569520/twitch-streamers-zero-viewers-motivation-community
   Google Scholar
• Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58–67. doi:10.1016/j.chb.2018.02.013
   Web of Science ®Google Scholar
• Hu, D., Zhao, J. L., & Cheng, J. (2012). Reputation management in an open source developer social network: An empirical study on determinants of positive evaluations. Decision Support Systems, 53(3), 526–533. doi:10.1016/j.dss.2012.02.005
   Web of Science ®Google Scholar
• Huang, Y., Shen, C., & Contractor, N. S. (2013). Distance matters: Exploring proximity and homophily in virtual world networks. Decision Support Systems, 55(4), 969–977. doi:10.1016/j.dss.2013.01.006
   Web of Science ®Google Scholar
• Jayaprakash, P., & Pillai, R. R. (2021). The role of ICT and effect of national culture on human development. Journal of Global Information Technology Management, 24(3), 183–207. doi:10.1080/1097198X.2021.1953319
   Web of Science ®Google Scholar
• Johnson, M. R., & Woodcock, J. (2019). ‘It’s like the gold rush’: The lives and careers of professional video game streamers on Twitch.Tv. Information, Communication & Society, 22(3), 336–351. doi:10.1080/1369118X.2017.1386229
   Web of Science ®Google Scholar
• Kwon, H. E., Oh, W., & Kim, T. (2017). Platform structures, homing preferences, and homophilous propensities in online social networks. Journal of Management Information Systems, 34(3), 768–802. doi:10.1080/07421222.2017.1373008
   Web of Science ®Google Scholar
• Lawless, J. F. (1987). Negative binomial and mixed Poisson regression. The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 15(3), 209–225. doi:10.2307/3314912
   Web of Science ®Google Scholar
• Lee, G. M., Qiu, L., & Whinston, A. B. (2016). A friend like me: Modeling network formation in a location-based social network. Journal of Management Information Systems, 33(4), 1008–1033. doi:10.1080/07421222.2016.1267523
   Web of Science ®Google Scholar
• Li, X., Wang, M., & Liang, T. P. (2014). A multi-theoretical kernel-based approach to social network-based recommendation. Decision Support Systems, 65, 95–104. doi:10.1016/j.dss.2014.05.006
   Web of Science ®Google Scholar
• Lu, D., Li, Q., & Liao, S. S. (2012). A graph-based action network framework to identify prestigious members through member’s prestige evolution. Decision Support Systems, 53(1), 44–54. doi:10.1016/j.dss.2011.12.003
   Web of Science ®Google Scholar
• Mark, N. P. (2003). Culture and competition: Homophily and distancing explanations for cultural niches. American Sociological Review, 68(3), 319–345. doi:10.2307/1519727
   Web of Science ®Google Scholar
• McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. doi:10.1146/annurev.soc.27.1.415
   Web of Science ®Google Scholar
• Neely, E. L. (2021). Come for the game, stay for the cash grab: The ethics of loot boxes, microtransactions, and freemium games. Games and Culture, 16(2), 228–247. doi:10.1177/1555412019887658
   Web of Science ®Google Scholar
• O’Hara, R., & Kotze, J. (2010). Do not log-transform count data. Methods in Ecology and Evolution, 1(2), 118–122. doi:10.1111/j.2041-210X.2010.00021.x
   Web of Science ®Google Scholar
• OpenSignal. (2019). USA mobile network experience report. https://www.opensignal.com/reports/2019/01/usa/mobile-network-experience
   Google Scholar
• Pant, G., & Srinivasan, P. (2013). Status locality on the web: Implications for building focused collections. Information Systems Research, 24(3), 802–821. doi:10.1287/isre.1120.0457
   Web of Science ®Google Scholar
• Park, S. H., Huh, S. Y., Oh, W., & Han, S. P. (2012). A social network-based inference model for validating customer profile data. MIS Quarterly, 36(4), 1217–1237. doi:10.2307/41703505
   Web of Science ®Google Scholar
• Payne, K., Keith, M. J., Schuetzler, R. M., & Giboney, J. S. (2017). Examining the learning effects of live streaming video game instruction over Twitch. Computers in Human Behavior, 77, 95–109. doi:10.1016/j.chb.2017.08.029
   Web of Science ®Google Scholar
• Perez, S. (2017, November 14). Twitch launches achievements and stream summary to help creators grow their channels. TechCrunch. Retrieved from https://techcrunch.com/2017/11/14/twitchs-launches-achievements-and-stream-summaries-to-help-creators-grow-their-channels/
   Google Scholar
• Shanley, P. (2020, April 1). Twitch breaks various viewership records amid coronavirus quarantine. The Hollywood Reporter. Retrieved from https://www.hollywoodreporter.com/news/twitch-breaks-viewership-records-coronavirus-quarantine-1287894
   Google Scholar
• Shore, J., Baek, J., & Dellarocas, C. (2016). Network structure and patterns of information diversity on Twitter. MIS Quarterly, 42(3), 849–872. doi:10.25300/MISQ/2018/14558
   Web of Science ®Google Scholar
• Singh, J., Hansen, M. T., & Podolny, J. M. (2010). The world is not small for everyone: Inequity in searching for knowledge in organizations. Management Science, 56(9), 1415–1438. doi:10.1287/mnsc.1100.1201
   Web of Science ®Google Scholar
• Sjöblom, M., & Hamari, J. (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985–996. doi:10.1016/j.chb.2016.10.019
   Web of Science ®Google Scholar
• Sjöblom, M., Törhönen, M., Hamari, J., & Macey, J. (2017). Content structure is king: An empirical study on gratifications, game genres and content type on Twitch. Computers in Human Behavior, 73, 161–171. doi:10.1016/j.chb.2017.03.036
   Web of Science ®Google Scholar
• Sjöblom, M., Törhönen, M., Hamari, J., & Macey, J. (2019). The ingredients of Twitch streaming: Affordances of game streams. Computers in Human Behavior, 92, 20–28. doi:10.1016/j.chb.2018.10.012
   Web of Science ®Google Scholar
• Song, T., Tang, Q., & Huang, J. (2019). Triadic closure, homophily, and reciprocation: An empirical investigation of social ties between content providers. Information Systems Research, 30(3), 912–926. doi:10.1287/isre.2019.0838
   Web of Science ®Google Scholar
• Susarla, A., Oh, J. H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41. doi:10.1287/isre.1100.0339
   Web of Science ®Google Scholar
• Taylor, T. L. (2018). Watch me play: Twitch and the rise of game live streaming. Princeton, NJ: Princeton University Press. doi:10.1515/9780691184975
   Google Scholar
• Thelwall, M. (2009). Homophily in MySpace. Journal of the American Society for Information Science and Technology, 60(2), 219–231. doi:10.1002/asi.20978
   Web of Science ®Google Scholar
• Twitch Viewers Statistics. (2020). TwitchTracker. Retrieved from https://twitchtracker.com/statistics/viewers
   Google Scholar
• Udo, G., Bagchi, K. K., & Kirs, P. J. (2008). Diffusion of ICT in developing countries: A qualitative differential analysis of four nations. Journal of Global Information Technology Management, 11(1), 6–27. doi:10.1080/1097198X.2008.10856459
   Google Scholar
• Varian, H. R. (2014). Intermediate microeconomics: A modern approach (9th ed.). New York, NY: W. W. Norton & Company, Inc.
   Google Scholar
• Verbraken, T., Goethals, F., Verbeke, W., & Baesens, B. (2014). Predicting online channel acceptance with social network data. Decision Support Systems, 63, 104–114. doi:10.1016/j.dss.2013.08.011
   Web of Science ®Google Scholar
• Verbrugge, L. M. (1977). The structure of adult friendship choices. Social Forces, 56(2), 576–597. doi:10.2307/2577741
   Web of Science ®Google Scholar
• Wang, C., Zhang, X., & Hann, I. H. (2018). Socially nudged: A quasi-experimental study of friends’ social influence in online product ratings. Information Systems Research, 29(3), 641–655. doi:10.1287/isre.2017.0741
   Web of Science ®Google Scholar
• Wohn, D. Y., Jough, P., Eskander, P., Siri, J. S., Shimobayashi, M., & Desai, P. (2019, October). Understanding digital patronage: Why do people subscribe to streamers on Twitch? Proceedings of the Annual Symposium on Computer-Human Interaction in Play (pp. 99–110). Barcelona, Spain: CHI-PLAY.
   Google Scholar
• Woodcock, J., & Johnson, M. R. (2019). Live streamers on Twitch.Tv as social media influencers: Chances and challenges for strategic communication. International Journal of Strategic Communication, 13(4), 321–335. doi:10.1080/1553118X.2019.1630412
   Google Scholar
• Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. Cambridge, MA: MIT Press.
   Google Scholar
• Yan, L., Peng, J., & Tan, Y. (2015). Network dynamics: How can we find patients like us? Information Systems Research, 26(3), 496–512. doi:10.1287/isre.2015.0585
   Web of Science ®Google Scholar
• Zendle, D., & Cairns, P. (2019). Video game loot boxes are linked to problem gambling: Results of a large-scale survey. PLOS ONE, 13(11), e0206767. doi:10.1371/journal.pone.0206767
   Web of Science ®Google Scholar
• Zendle, D., Cairns, P., Barnett, H., & McCall, C. (2020). Paying for loot boxes is linked to problem gambling, regardless of specific features like cash-out and pay-to-win. Computers in Human Behavior, 102, 181–191. doi:10.1016/j.chb.2019.07.003
   Web of Science ®Google Scholar
• Zhang, B., Pavlou, P. A., & Krishnan, R. (2018). On direct vs. indirect peer influence in large social networks. Information Systems Research, 29(2), 292–314. doi:10.1287/isre.2017.0753
   Web of Science ®Google Scholar