Multiple topics evolution model based on similarity of interference

The current researches of evolution model mainly focus on the spread of the individual topics,rarely considering the influential factors between multiple topics.A new topic evolution model was proposed by considering the interference among topics based on SIR model,which characterized by the influen...

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Main Authors: Yefei CHEN, Xuejun ZHANG, Weidong HUANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-09-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017204/
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author Yefei CHEN
Xuejun ZHANG
Weidong HUANG
author_facet Yefei CHEN
Xuejun ZHANG
Weidong HUANG
author_sort Yefei CHEN
collection DOAJ
description The current researches of evolution model mainly focus on the spread of the individual topics,rarely considering the influential factors between multiple topics.A new topic evolution model was proposed by considering the interference among topics based on SIR model,which characterized by the influence of the similarity of the topic on the probability of propagation.The experimental results show that within the critical value,the similarity degree of positive and negative trends enhance or hinder the process of topic evolution,and the degree of action varies with the degree of interference nodes,which is expressed as evolutionary consistency under positive similarity and the evolutionary separability under negative similarity.When the critical value is exceeded,the effect of strengthening or hindering tends to saturation.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2017-09-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-017b49af0ef74a928cfb07ac6e3f09c42025-01-15T03:06:08ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-0133283559599970Multiple topics evolution model based on similarity of interferenceYefei CHENXuejun ZHANGWeidong HUANGThe current researches of evolution model mainly focus on the spread of the individual topics,rarely considering the influential factors between multiple topics.A new topic evolution model was proposed by considering the interference among topics based on SIR model,which characterized by the influence of the similarity of the topic on the probability of propagation.The experimental results show that within the critical value,the similarity degree of positive and negative trends enhance or hinder the process of topic evolution,and the degree of action varies with the degree of interference nodes,which is expressed as evolutionary consistency under positive similarity and the evolutionary separability under negative similarity.When the critical value is exceeded,the effect of strengthening or hindering tends to saturation.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017204/topic evolutionmultiple topicssusceptible-infective-removal modelsimilarity of interference
spellingShingle Yefei CHEN
Xuejun ZHANG
Weidong HUANG
Multiple topics evolution model based on similarity of interference
Dianxin kexue
topic evolution
multiple topics
susceptible-infective-removal model
similarity of interference
title Multiple topics evolution model based on similarity of interference
title_full Multiple topics evolution model based on similarity of interference
title_fullStr Multiple topics evolution model based on similarity of interference
title_full_unstemmed Multiple topics evolution model based on similarity of interference
title_short Multiple topics evolution model based on similarity of interference
title_sort multiple topics evolution model based on similarity of interference
topic topic evolution
multiple topics
susceptible-infective-removal model
similarity of interference
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017204/
work_keys_str_mv AT yefeichen multipletopicsevolutionmodelbasedonsimilarityofinterference
AT xuejunzhang multipletopicsevolutionmodelbasedonsimilarityofinterference
AT weidonghuang multipletopicsevolutionmodelbasedonsimilarityofinterference