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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2015-04-01
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Series: | Tongxin xuebao |
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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/ |
work_keys_str_mv | AT yanxianghe basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast AT jianboliu basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast AT nanliu basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast AT minpeng basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast AT qiangchen basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast AT jinghe basedonimprovedmalthusianmodelmicrobloggingtopictrendforecast |