Microblog burst topic diffusion prediction algorithm based on the users and node scale
The main purpose of burst topic diffusion modeling and prediction is to control the subsequent large-scale dis-semination of emergency incidents with adverse effect. Currently microblog topic diffusion and prediction is still in its infancy. The viral infection model, the message propagation model a...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-08-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.011/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539836164440064 |
|---|---|
| author | Wei WANG Rui-guang LI Yuan ZHOU Wu YANG |
| author_facet | Wei WANG Rui-guang LI Yuan ZHOU Wu YANG |
| author_sort | Wei WANG |
| collection | DOAJ |
| description | The main purpose of burst topic diffusion modeling and prediction is to control the subsequent large-scale dis-semination of emergency incidents with adverse effect. Currently microblog topic diffusion and prediction is still in its infancy. The viral infection model, the message propagation model and topic propagation model were deeply studied and a topic diffusion model was proposed based on fans relationship, user activity and influence. By partitioning microblog users into infected users, tangible user and immune user, the relationship between infected and tangible user was analyzed to predict the scale of users which were infected in next time window. Following ＂internal and external field strength＂concept in topic diffusion model, the proportional relationship between them was studied. Based on the scale of the user, topic diffusion prediction algorithms were proposed based on user and node scale respectively. Experiments show that the former can predict diffusion more accurately but with bad time complexity, and the latter node is more suitable for proc-essing large data sets. |
| format | Article |
| id | doaj-art-c38b97e400734bd0b5a25e0f6a0046a8 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c38b97e400734bd0b5a25e0f6a0046a82025-01-14T06:41:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-08-0134849159676975Microblog burst topic diffusion prediction algorithm based on the users and node scaleWei WANGRui-guang LIYuan ZHOUWu YANGThe main purpose of burst topic diffusion modeling and prediction is to control the subsequent large-scale dis-semination of emergency incidents with adverse effect. Currently microblog topic diffusion and prediction is still in its infancy. The viral infection model, the message propagation model and topic propagation model were deeply studied and a topic diffusion model was proposed based on fans relationship, user activity and influence. By partitioning microblog users into infected users, tangible user and immune user, the relationship between infected and tangible user was analyzed to predict the scale of users which were infected in next time window. Following ＂internal and external field strength＂concept in topic diffusion model, the proportional relationship between them was studied. Based on the scale of the user, topic diffusion prediction algorithms were proposed based on user and node scale respectively. Experiments show that the former can predict diffusion more accurately but with bad time complexity, and the latter node is more suitable for proc-essing large data sets.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.011/microblog networktopic diffusiondiffusion predictionnode scale |
| spellingShingle | Wei WANG Rui-guang LI Yuan ZHOU Wu YANG Microblog burst topic diffusion prediction algorithm based on the users and node scale Tongxin xuebao microblog network topic diffusion diffusion prediction node scale |
| title | Microblog burst topic diffusion prediction algorithm based on the users and node scale |
| title_full | Microblog burst topic diffusion prediction algorithm based on the users and node scale |
| title_fullStr | Microblog burst topic diffusion prediction algorithm based on the users and node scale |
| title_full_unstemmed | Microblog burst topic diffusion prediction algorithm based on the users and node scale |
| title_short | Microblog burst topic diffusion prediction algorithm based on the users and node scale |
| title_sort | microblog burst topic diffusion prediction algorithm based on the users and node scale |
| topic | microblog network topic diffusion diffusion prediction node scale |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.011/ |
| work_keys_str_mv | AT weiwang microblogbursttopicdiffusionpredictionalgorithmbasedontheusersandnodescale AT ruiguangli microblogbursttopicdiffusionpredictionalgorithmbasedontheusersandnodescale AT yuanzhou microblogbursttopicdiffusionpredictionalgorithmbasedontheusersandnodescale AT wuyang microblogbursttopicdiffusionpredictionalgorithmbasedontheusersandnodescale |