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Book ChapterDOI

Conflict and Communication in Massively-Multiplayer Online Games

Alireza Hajibagheri, +4 more
- pp 65-74
TLDR
This paper studies the nature of conflict and communication across two game worlds that have different game objectives and compares and contrast the structure of attack networks with trade and communication networks.
Abstract: 
Massively-multiplayer online games (MMOGs) can serve as a unique laboratory for studying large-scale human behaviors. However, one question that often arises is whether the observed behavior is specific to the game world and its winning conditions. This paper studies the nature of conflict and communication across two game worlds that have different game objectives. We compare and contrast the structure of attack networks with trade and communication networks. Similar to real-life, social structures play a significant role in the likelihood of inter-player conflict.

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Citations
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Journal ArticleDOI

Identifying community structures in dynamic networks

Hamidreza Alvari, +3 more
- 12 Sep 2016 - 
TL;DR: In this article, a dynamic game-theoretic community detection method, D-GT (Dynamic Game-Theoretic Community Detection), is proposed. But it does not address the problem of detecting communities in dynamic networks.
Book ChapterDOI

A Holistic Approach for Link Prediction in Multiplex Networks

Alireza Hajibagheri, +2 more
TL;DR: A comprehensive framework, MLP (Multiplex Link Prediction), in which link existence likelihoods for the target layer are learned from the other network layers, and these likelihoods are used to reweight the output of a single layer link prediction method that uses rank aggregation to combine a set of topological metrics.
Posted Content

Identifying Community Structures in Dynamic Networks

Hamidreza Alvari, +3 more
- 08 Sep 2016 - 
TL;DR: Compared to the benchmark community detection methods, D-GT more accurately predicts the number of communities and finds community assignments with a higher normalized mutual information, while retaining a good modularity.
Journal ArticleDOI

A synthetic data generator for online social network graphs

David F. Nettleton
- 01 Jul 2016 - 
TL;DR: An approach for populating a graph topology with synthetic data which approximates an online social network and a good match is obtained between the generated data and the target profiles and distributions, which is competitive with other state of the art methods.
Journal ArticleDOI

A Survey on Deep Graph Generation: Methods and Applications

Yanqiao Zhu, +6 more
- 13 Mar 2022 - 
TL;DR: A comprehensive review on the existing literature of graph generation from a variety of emerging methods to its wide application areas and divides the state-of-the-art methods into three categories based on model architectures and summarizes their generation strategies.
References
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Journal ArticleDOI

Power-Law Distributions in Empirical Data

Aaron Clauset, +3 more
- 01 Nov 2009 - 
TL;DR: This work proposes a principled statistical framework for discerning and quantifying power-law behavior in empirical data by combining maximum-likelihood fitting methods with goodness-of-fit tests based on the Kolmogorov-Smirnov (KS) statistic and likelihood ratios.
Journal ArticleDOI

Assortative mixing in networks.

Mark Newman, +1 more
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TL;DR: This work proposes a model of an assortatively mixed network and finds that networks percolate more easily if they are assortative and that they are also more robust to vertex removal.
Journal ArticleDOI

Who Fights? The Determinants of Participation in Civil War

Macartan Humphreys, +1 more
- 01 Apr 2008 - 
TL;DR: This article examined the determinants of participation in insurgent and counter-insurgent factions in Sierra Leone's civil war and found that poverty, a lack of access to education, and political alienation predict participation in both rebellion and counterrebellion.
Journal ArticleDOI

The Labor of Fun How Video Games Blur the Boundaries of Work and Play

Nick Yee
- 01 Jan 2006 - 
TL;DR: The microcosm of these online games may reveal larger social trends in the blurring boundaries between work and play.
Proceedings ArticleDOI

Mobile call graphs: beyond power-law and lognormal distributions

Mukund Seshadri, +5 more
TL;DR: A massive social network, gathered from the records of a large mobile phone operator, is analyzed, and it is shown that this generative process lends itself to a natural and appealing social wealth interpretation in the context of social networks such as the authors'.