Understanding and recommending play relationships in online social gaming

Ruud van de Bovenkamp; Siqi Shen; Alexandru Iosup; Fernando A. Kuipers

doi:10.1109/COMSNETS.2013.6465556

Understanding and recommending play relationships in online social gaming

Ruud van de Bovenkamp, Siqi Shen, Alexandru Iosup, Fernando A. Kuipers

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Online Social Networking (OSN) applications such as Facebook's communication and Zynga's gaming platforms service hundreds of millions of users. To understand and model such relationships, social network graphs are extracted from running OSN applications and subsequently processed using social and complex network analysis tools. In this paper, we focus on the application domain of Online Social Games (OSGs) and deploy a formalism for extracting graphs from large datasets. Our formalism covers notions such as game participation, adversarial relationships, match outcomes, and allows to filter out 'weak' links based on one or more threshold values. Using two novel large-scale OSG datasets, we investigate a range of threshold values and their influence on the resulting OSG graph properties. We discuss how an analysis of multiple graphs-obtained through different extraction rules-could be used in an algorithm to improve matchmaking for players. © 2013 IEEE.

Original language	English
Title of host publication	Fifth International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, January 7-10, 2013
Pages	1-10
Number of pages	10
DOIs	https://doi.org/10.1109/COMSNETS.2013.6465556
Publication status	Published - 2013
Externally published	Yes
Event	2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013 - Bangalore, India Duration: 7 Jan 2013 → 10 Jan 2013

Conference

Conference	2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013
Country/Territory	India
City	Bangalore
Period	7/01/13 → 10/01/13

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10.1109/COMSNETS.2013.6465556

http://dx.doi.org/10.1109/COMSNETS.2013.6465556

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title = "Understanding and recommending play relationships in online social gaming",

abstract = "Online Social Networking (OSN) applications such as Facebook's communication and Zynga's gaming platforms service hundreds of millions of users. To understand and model such relationships, social network graphs are extracted from running OSN applications and subsequently processed using social and complex network analysis tools. In this paper, we focus on the application domain of Online Social Games (OSGs) and deploy a formalism for extracting graphs from large datasets. Our formalism covers notions such as game participation, adversarial relationships, match outcomes, and allows to filter out 'weak' links based on one or more threshold values. Using two novel large-scale OSG datasets, we investigate a range of threshold values and their influence on the resulting OSG graph properties. We discuss how an analysis of multiple graphs-obtained through different extraction rules-could be used in an algorithm to improve matchmaking for players. {\textcopyright} 2013 IEEE.",

author = "{van de Bovenkamp}, Ruud and Siqi Shen and Alexandru Iosup and Kuipers, {Fernando A.}",

year = "2013",

doi = "10.1109/COMSNETS.2013.6465556",

language = "English",

isbn = "9781467354943",

pages = "1--10",

booktitle = "Fifth International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, January 7-10, 2013",

note = "2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013 ; Conference date: 07-01-2013 Through 10-01-2013",

}

van de Bovenkamp, R, Shen, S, Iosup, A & Kuipers, FA 2013, Understanding and recommending play relationships in online social gaming. in Fifth International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, January 7-10, 2013., 6465556, pp. 1-10, 2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, 7/01/13. https://doi.org/10.1109/COMSNETS.2013.6465556

Understanding and recommending play relationships in online social gaming. / van de Bovenkamp, Ruud; Shen, Siqi; Iosup, Alexandru et al.
Fifth International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, January 7-10, 2013. 2013. p. 1-10 6465556.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Understanding and recommending play relationships in online social gaming

AU - van de Bovenkamp, Ruud

AU - Shen, Siqi

AU - Iosup, Alexandru

AU - Kuipers, Fernando A.

PY - 2013

Y1 - 2013

N2 - Online Social Networking (OSN) applications such as Facebook's communication and Zynga's gaming platforms service hundreds of millions of users. To understand and model such relationships, social network graphs are extracted from running OSN applications and subsequently processed using social and complex network analysis tools. In this paper, we focus on the application domain of Online Social Games (OSGs) and deploy a formalism for extracting graphs from large datasets. Our formalism covers notions such as game participation, adversarial relationships, match outcomes, and allows to filter out 'weak' links based on one or more threshold values. Using two novel large-scale OSG datasets, we investigate a range of threshold values and their influence on the resulting OSG graph properties. We discuss how an analysis of multiple graphs-obtained through different extraction rules-could be used in an algorithm to improve matchmaking for players. © 2013 IEEE.

AB - Online Social Networking (OSN) applications such as Facebook's communication and Zynga's gaming platforms service hundreds of millions of users. To understand and model such relationships, social network graphs are extracted from running OSN applications and subsequently processed using social and complex network analysis tools. In this paper, we focus on the application domain of Online Social Games (OSGs) and deploy a formalism for extracting graphs from large datasets. Our formalism covers notions such as game participation, adversarial relationships, match outcomes, and allows to filter out 'weak' links based on one or more threshold values. Using two novel large-scale OSG datasets, we investigate a range of threshold values and their influence on the resulting OSG graph properties. We discuss how an analysis of multiple graphs-obtained through different extraction rules-could be used in an algorithm to improve matchmaking for players. © 2013 IEEE.

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BT - Fifth International Conference on Communication Systems and Networks, COMSNETS 2013, Bangalore, India, January 7-10, 2013

T2 - 2013 5th International Conference on Communication Systems and Networks, COMSNETS 2013

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ER -

Understanding and recommending play relationships in online social gaming

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