Multidimensional Social Network: Model and Analysis

Kazienko, Przemysław; Musiał, Katarzyna; Kukla, Elżbieta; Kajdanowicz, Tomasz; Bródka, Piotr

doi:10.1007/978-3-642-23935-9_37

Cited by 44 publications

(17 citation statements)

References 13 publications

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“…Paper [10] introduces a model of the social network as multi-layered graph, where each type of relations is presented at different levels. Paper [2] introduces multidigraph: directed graph, having multiple types of nodes and relations, paper [10] discusses multirelational networks. Paper [11] presents time aggregated graphs.…”

Section: Related Workmentioning

confidence: 99%

A Repository for Multirelational Dynamic Networks

Semenov

Veijalainen

2012

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Nowadays, WWW contains a number of social media sites, which are growing rapidly. One of the main features of social media sites is to allow to its users creation and modification of contents of the site utilizing the offered WWW interfaces. Such contents are referred to as user generated contents and their type varies from site to site. Social media sites can be modeled as constantly evolving multirelational directed graphs. In this paper we discuss persistent data structures for such graphs, and present and analyze queries performed against the structures. We also estimate the space requirements of the proposed data structures, and compare them with the naive "store each complete snapshot of the graph separately". We also investigate query performance against our data structure. We present analytical estimation results, simulation results, and discuss its performance when it is used to store entire contents of Livejournal.temporal social network analysis, multirelational social network analysis, temporal databases

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Section: Related Workmentioning

confidence: 99%

A Repository for Multirelational Dynamic Networks

Semenov

Veijalainen

2012

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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“…User's virtual communities are constructed from log files using Web mining techniques. The study in [44] proposed a generic model for multidimensional social network extraction. It captures information about different types of activities and interactions between users along with the dynamics of user's behaviour.…”

Section: Multi-source Data Based Social Network Extractionmentioning

confidence: 99%

Social Network Extraction: A Review of Automatic Techniques

Arif¹,

Ali²,

Asger³

2014

IJCA

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“…Multidimensional social networks have been studied in the work of Kazienko et al (2011), Kennedy (2009) and Rodriguez and Shinavier (2009).…”

Section: Related Workmentioning

confidence: 99%

“…The MBSN is a set of graphs consisting of nodes (Kazienko et al 2011), each representing one Wikipedia contributor (some graphs may also contain other edges, such as Wikipedia categories) and edges, each representing one kind of relationship between them. Each edge has its specific weight represented by a numeric value.…”

Section: Multidimensional Behavioral Social Network Of Wikipedia Editorsmentioning

confidence: 99%

Modeling Wikipedia admin elections using multidimensional behavioral social networks

Jankowski-Lorek

Ostrowski

Turek

et al. 2013

Soc. Netw. Anal. Min.

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Wikipedia admins are editors entrusted with special privileges and duties, responsible for the community management of Wikipedia. They are elected using a special procedure defined by the Wikipedia community, called Request for Adminship (RfA). Because of the growing amount of management work (quality control, coordination, maintenance) on the Wikipedia, the importance of admins is growing. At the same time, there exists evidence that the admin community is growing more slowly than expected. We present an analysis of the RfA procedure in the Polish-language Wikipedia, since the procedure's introduction in 2005. With the goal of discovering good candidates for new admins that could be accepted by the community, we model the admin elections using multidimensional behavioral social networks derived from the Wikipedia edit history. We find that we can classify the votes in the RfA procedures using this model with an accuracy level that should be sufficient to recommend candidates. We also propose and verify interpretations of the dimensions of the social network. We find that one of the dimensions, based on discussion on Wikipedia talk pages, can be validly interpreted as acquaintance among editors, and discuss the relevance of this dimension to the admin elections.

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Multidimensional Social Network: Model and Analysis

Cited by 44 publications

References 13 publications

A Repository for Multirelational Dynamic Networks

A Repository for Multirelational Dynamic Networks

Social Network Extraction: A Review of Automatic Techniques

Modeling Wikipedia admin elections using multidimensional behavioral social networks

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