Identify influential spreaders in online social networks based on social meta path and PageRank
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099088" target="_blank" >RIV/61989100:27240/16:86099088 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-42345-6_5" target="_blank" >http://dx.doi.org/10.1007/978-3-319-42345-6_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-42345-6_5" target="_blank" >10.1007/978-3-319-42345-6_5</a>
Alternative languages
Result language
angličtina
Original language name
Identify influential spreaders in online social networks based on social meta path and PageRank
Original language description
Identifying "influential spreader" is finding a subset of individuals in the social network, so that when information injected into this subset, it is spread most broadly to the rest of the network individuals. The determination of the information influence degree of individual plays an important role in online social networking. Once there is a list of individuals who have high influence, the marketers can access these individuals and seek them to impress, bribe or somehow make them spread up the good information for their business as well as their product in marketing campaign. In this paper, according to the idea "Information can be spread between two unconnected users in the network as long as they both check-in at the same location", we proposed an algorithm called SMPRank (Social Meta Path Rank) to identify individuals with the largest influence in complex online social networks. The experimental results show that SMPRank performs better than Weighted LeaderRank because of the ability to determinate more influential spreaders. (C) Springer International Publishing Switzerland 2016.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
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 9795
ISBN
978-3-319-42344-9
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
51-61
Publisher name
Springer
Place of publication
Cham
Event location
Ho Či Minovo Město
Event date
Aug 2, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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