Based on improved malthusian model microblogging topic trend forecast

Although trend forecasting problem is the research focus of social computing,yet the topic trend forecast of micro logging platform is still at the exploratory stage.Based on the analyzing,extracting and defining the influencing factors of the trends of event,the improved Malthus model,which is more...

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Main Authors: Yan-xiang HE, Jian-bo LIU, Nan LIU, Min PENG, Qiang CHEN, Jing HE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015094/
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author Yan-xiang HE
Jian-bo LIU
Nan LIU
Min PENG
Qiang CHEN
Jing HE
author_facet Yan-xiang HE
Jian-bo LIU
Nan LIU
Min PENG
Qiang CHEN
Jing HE
author_sort Yan-xiang HE
collection DOAJ
description Although trend forecasting problem is the research focus of social computing,yet the topic trend forecast of micro logging platform is still at the exploratory stage.Based on the analyzing,extracting and defining the influencing factors of the trends of event,the improved Malthus model,which is more applicable to solve microblogging topic trend forecast problem is presented.Then the model is mapped to the neural network,and the genetic algorithms are used to predict the trend of events.Experiments show that this method can predict the trend of long-term events in the social network with good results,and can predict the outbreak point and posting volume effectively.It is worth nothing that the method is also suitable for small sample forecasting problems.
format Article
id doaj-art-58fa413ec10b45f8bb3d9e040ed7dff4
institution Kabale University
issn 1000-436X
language zho
publishDate 2015-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-58fa413ec10b45f8bb3d9e040ed7dff42025-01-14T06:46:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-04-01361859692123Based on improved malthusian model microblogging topic trend forecastYan-xiang HEJian-bo LIUNan LIUMin PENGQiang CHENJing HEAlthough trend forecasting problem is the research focus of social computing,yet the topic trend forecast of micro logging platform is still at the exploratory stage.Based on the analyzing,extracting and defining the influencing factors of the trends of event,the improved Malthus model,which is more applicable to solve microblogging topic trend forecast problem is presented.Then the model is mapped to the neural network,and the genetic algorithms are used to predict the trend of events.Experiments show that this method can predict the trend of long-term events in the social network with good results,and can predict the outbreak point and posting volume effectively.It is worth nothing that the method is also suitable for small sample forecasting problems.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015094/social computingtrend forecastingneural networkmalthus modelsocial networks
spellingShingle Yan-xiang HE
Jian-bo LIU
Nan LIU
Min PENG
Qiang CHEN
Jing HE
Based on improved malthusian model microblogging topic trend forecast
Tongxin xuebao
social computing
trend forecasting
neural network
malthus model
social networks
title Based on improved malthusian model microblogging topic trend forecast
title_full Based on improved malthusian model microblogging topic trend forecast
title_fullStr Based on improved malthusian model microblogging topic trend forecast
title_full_unstemmed Based on improved malthusian model microblogging topic trend forecast
title_short Based on improved malthusian model microblogging topic trend forecast
title_sort based on improved malthusian model microblogging topic trend forecast
topic social computing
trend forecasting
neural network
malthus model
social networks
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015094/
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AT minpeng basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast
AT qiangchen basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast
AT jinghe basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast