Chain of Influencers: Multipartite Intra-community Ranking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238634" target="_blank" >RIV/61989100:27240/17:10238634 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-62389-4_50#enumeration" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-62389-4_50#enumeration</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-62389-4_50" target="_blank" >10.1007/978-3-319-62389-4_50</a>
Alternative languages
Result language
angličtina
Original language name
Chain of Influencers: Multipartite Intra-community Ranking
Original language description
Ranking of vertices is an important part of social network analysis. However, thanks to the enormous growth of real-world networks, the global ranking of vertices on a large scale does not provide easily comparable results. On the other hand, the ranking can provide clear results on a local scale and also in heterogeneous networks where we need to work with vertices of different types. In this paper, we present a method of ranking objects in a community which is closely related to the analysis of heterogeneous information networks. Our method assumes that the community is a set of several groups of objects of different types where each group, so-called object pool, contains objects of the same type. These community object pools can be connected and ordered to the chain of influencers, and ranking can be applied to this structure. Based on the chain of influencers, the heterogeneous network can be converted to a multipartite graph. In our approach, we show how to rank vertices of the community using the mutual influence of community object pools. In our experiments, we worked with a computer science research community. Objects of this domain contain authors, papers (articles), topics (keywords), and years of publications. © 2017, Springer International Publishing AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 10392
ISBN
978-3-319-62388-7
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
603-614
Publisher name
Springer
Place of publication
Cham
Event location
Hongkong
Event date
Aug 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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