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On churn and social contagion

Authors:

Arpita Chandra,

Ponnurangam Kumaraguru,

Jaideep SrivastavaAuthors Info & Claims

ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Pages 833 - 841

https://doi.org/10.1145/3341161.3344378

Published: 15 January 2020 Publication History

Abstract

Massively Multiplayer Online Role-Playing Games (MMORPGs) are persistent virtual environments where millions of players interact in an online manner. We study the problem of player churn and social contagion using MMORPG game logs by analyzing the impact of a node's churn behavior on its immediate neighborhood or group. The two key research questions in this paper are - When an active node, ego, becomes dormant, what is the impact on the activity behavior of ego's immediate neighbor, alter, 1) based on ego's characteristics and ego's relationship with alter and 2) based on the activity behavior of alter's remaining neighbors. We use a supervised learning framework to study the impact of player churn and social contagion. Experimental results show that the classification models perform substantially better than random for both the research problems. Finally, we use a data-driven approach to propose a player typology based on degree of socialization and analyze churn behavior among these player types. Experimental results show that the loner player type is much more likely to churn than the socializer player types and as the degree of socialization decreases among socializers, the propensity to churn increases.

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Cited By

Shiguihara PDioses J(2022)Churn Classification: An Exploration of Features to Improve the Performance2022 IEEE Engineering International Research Conference (EIRCON)10.1109/EIRCON56026.2022.9934807(1-4)Online publication date: 26-Oct-2022
https://doi.org/10.1109/EIRCON56026.2022.9934807
Óskarsdóttir MGísladóttir KStefánsson RAleman DSarraute C(2022)Social networks for enhanced player churn prediction in mobile free-to-play gamesApplied Network Science10.1007/s41109-022-00524-57:1Online publication date: 15-Dec-2022
https://doi.org/10.1007/s41109-022-00524-5
Loria ENacke LPirker J(2021)The Quirks of Being a Wallflower: Towards Defining Lurkers and Loners in Games Through A Systematic Literature ReviewExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451830(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451830

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cover image ACM Conferences

ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

August 2019

1228 pages

ISBN:9781450368681

DOI:10.1145/3341161

Editors:
Francesca Spezzano
Boise State University
,
Wei Chen
Microsoft Research, China
,
Xiaokui Xiao
National University of Singapore, Singapore

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 January 2020

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ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining

August 27 - 30, 2019

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ASONAM '19 Paper Acceptance Rate 41 of 286 submissions, 14%;

Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

Shiguihara PDioses J(2022)Churn Classification: An Exploration of Features to Improve the Performance2022 IEEE Engineering International Research Conference (EIRCON)10.1109/EIRCON56026.2022.9934807(1-4)Online publication date: 26-Oct-2022
https://doi.org/10.1109/EIRCON56026.2022.9934807
Óskarsdóttir MGísladóttir KStefánsson RAleman DSarraute C(2022)Social networks for enhanced player churn prediction in mobile free-to-play gamesApplied Network Science10.1007/s41109-022-00524-57:1Online publication date: 15-Dec-2022
https://doi.org/10.1007/s41109-022-00524-5
Loria ENacke LPirker J(2021)The Quirks of Being a Wallflower: Towards Defining Lurkers and Loners in Games Through A Systematic Literature ReviewExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451830(1-7)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451830

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