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ITEPE: A Source Tracing Algorithm for the Microblog
Finding the true source of a social network is a crucial component of social network information tracing. Using the new media microblog as an example, this paper provides a source tracing algorithm ITEPE (Initiators and Early Participants Extraction) to solve this problem. First, the cascade (sessio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216087/ https://www.ncbi.nlm.nih.gov/pubmed/25360751 http://dx.doi.org/10.1371/journal.pone.0111380 |
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author | Zhou, Xueyan Yang, Jing Lin, Zehong Zhang, Jianpei |
author_facet | Zhou, Xueyan Yang, Jing Lin, Zehong Zhang, Jianpei |
author_sort | Zhou, Xueyan |
collection | PubMed |
description | Finding the true source of a social network is a crucial component of social network information tracing. Using the new media microblog as an example, this paper provides a source tracing algorithm ITEPE (Initiators and Early Participants Extraction) to solve this problem. First, the cascade (session tree) is built according to the retweeting of a microblog, after which the cascade set (session forest) is clustered by topical relevance. Second, real initiators are identified through the user relationship network and information cascade network. The influence index and conformity index of every node is then iteratively calculated according to text sentiment analysis and information cascades and the early important participants are extracted. Finally, the real initiators and early participants are evaluated through an experiment. |
format | Online Article Text |
id | pubmed-4216087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42160872014-11-05 ITEPE: A Source Tracing Algorithm for the Microblog Zhou, Xueyan Yang, Jing Lin, Zehong Zhang, Jianpei PLoS One Research Article Finding the true source of a social network is a crucial component of social network information tracing. Using the new media microblog as an example, this paper provides a source tracing algorithm ITEPE (Initiators and Early Participants Extraction) to solve this problem. First, the cascade (session tree) is built according to the retweeting of a microblog, after which the cascade set (session forest) is clustered by topical relevance. Second, real initiators are identified through the user relationship network and information cascade network. The influence index and conformity index of every node is then iteratively calculated according to text sentiment analysis and information cascades and the early important participants are extracted. Finally, the real initiators and early participants are evaluated through an experiment. Public Library of Science 2014-10-31 /pmc/articles/PMC4216087/ /pubmed/25360751 http://dx.doi.org/10.1371/journal.pone.0111380 Text en © 2014 Zhou et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhou, Xueyan Yang, Jing Lin, Zehong Zhang, Jianpei ITEPE: A Source Tracing Algorithm for the Microblog |
title | ITEPE: A Source Tracing Algorithm for the Microblog |
title_full | ITEPE: A Source Tracing Algorithm for the Microblog |
title_fullStr | ITEPE: A Source Tracing Algorithm for the Microblog |
title_full_unstemmed | ITEPE: A Source Tracing Algorithm for the Microblog |
title_short | ITEPE: A Source Tracing Algorithm for the Microblog |
title_sort | itepe: a source tracing algorithm for the microblog |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216087/ https://www.ncbi.nlm.nih.gov/pubmed/25360751 http://dx.doi.org/10.1371/journal.pone.0111380 |
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