Spatio-temporal periodic behavior mining algorithm for social networks
A hierarchical bipartite graph based model and a mining algorithm were presented to obtain the potential spatio-temporal periodic behavior,meanwhile avoided the subset omitting problem in previous schemes.Then the location analysis algorithm was designed to achieve the nearly inimum location dominat...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-01-01
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Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0008-11/ |
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author | Yu-peng HU Hao LUO Ya-ping LIN Zheng QIN Bo YIN |
author_facet | Yu-peng HU Hao LUO Ya-ping LIN Zheng QIN Bo YIN |
author_sort | Yu-peng HU |
collection | DOAJ |
description | A hierarchical bipartite graph based model and a mining algorithm were presented to obtain the potential spatio-temporal periodic behavior,meanwhile avoided the subset omitting problem in previous schemes.Then the location analysis algorithm was designed to achieve the nearly inimum location dominating subset,it could monitor the small portion of the locations as early as possible.Finally experiments results show that the algorithms can find out the periodic location set as well as obtain nearly minimum location dominating subset,so as to cover the major portion of objectives using those popular locations. |
format | Article |
id | doaj-art-f378d7d6112d460782d5bd447ad46984 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2013-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-f378d7d6112d460782d5bd447ad469842025-01-14T06:34:04ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-01-013481859668050Spatio-temporal periodic behavior mining algorithm for social networksYu-peng HUHao LUOYa-ping LINZheng QINBo YINA hierarchical bipartite graph based model and a mining algorithm were presented to obtain the potential spatio-temporal periodic behavior,meanwhile avoided the subset omitting problem in previous schemes.Then the location analysis algorithm was designed to achieve the nearly inimum location dominating subset,it could monitor the small portion of the locations as early as possible.Finally experiments results show that the algorithms can find out the periodic location set as well as obtain nearly minimum location dominating subset,so as to cover the major portion of objectives using those popular locations.http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0008-11/social networkhierarchical bipartite graphspatio-temporal periodic behavior patternminimum location dominating subset |
spellingShingle | Yu-peng HU Hao LUO Ya-ping LIN Zheng QIN Bo YIN Spatio-temporal periodic behavior mining algorithm for social networks Tongxin xuebao social network hierarchical bipartite graph spatio-temporal periodic behavior pattern minimum location dominating subset |
title | Spatio-temporal periodic behavior mining algorithm for social networks |
title_full | Spatio-temporal periodic behavior mining algorithm for social networks |
title_fullStr | Spatio-temporal periodic behavior mining algorithm for social networks |
title_full_unstemmed | Spatio-temporal periodic behavior mining algorithm for social networks |
title_short | Spatio-temporal periodic behavior mining algorithm for social networks |
title_sort | spatio temporal periodic behavior mining algorithm for social networks |
topic | social network hierarchical bipartite graph spatio-temporal periodic behavior pattern minimum location dominating subset |
url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0008-11/ |
work_keys_str_mv | AT yupenghu spatiotemporalperiodicbehaviorminingalgorithmforsocialnetworks AT haoluo spatiotemporalperiodicbehaviorminingalgorithmforsocialnetworks AT yapinglin spatiotemporalperiodicbehaviorminingalgorithmforsocialnetworks AT zhengqin spatiotemporalperiodicbehaviorminingalgorithmforsocialnetworks AT boyin spatiotemporalperiodicbehaviorminingalgorithmforsocialnetworks |