Topic-oriented measurement of microblogging network
According to the dynamic and temporal characteristics of the topic-generated network, a method of quantitative calculation was designed, and then the topic-oriented research on the network measurement technology from many aspects such as the features of the content was conducted, as well as the netw...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.019/ |
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| _version_ | 1841540078220869632 |
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| author | Wei LIU Li-hong WANG Rui-guang LI |
| author_facet | Wei LIU Li-hong WANG Rui-guang LI |
| author_sort | Wei LIU |
| collection | DOAJ |
| description | According to the dynamic and temporal characteristics of the topic-generated network, a method of quantitative calculation was designed, and then the topic-oriented research on the network measurement technology from many aspects such as the features of the content was conducted, as well as the network topology and the characteristics of the user behavior. The experiments on the SINA microblog showed four new results. The first is that only a small portion of tweets has been forwarded broadly and the number of retweets follows the power-law distribution. The second is that the tweets' number of one topic is episodic and changing frequently, and the burst topic can be detected by the local volatility feature found in the massive background microblog data. The third is that the small-world feature in the topic-generated retweeting network is not obvious, and the dense relationship doesn't necessarily induce the frequent retweeting behavior. The fourth is that the topic which has been propagated broadly usually has a portion of the consistently participating users, and the correla-tion of the user behavior can be used to detect the potential and important users. The experimental results are helpful for un-derstanding the propagating mode, the structural chara and the pattern of the user behavior in a topic-generated net-work, and the indicators measured in the experiment can also be effectively applied in the future analyses. |
| format | Article |
| id | doaj-art-de87585dc4064ad4b7d03978a2bcde7e |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-de87585dc4064ad4b7d03978a2bcde7e2025-01-14T06:21:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-11-013417117859834892Topic-oriented measurement of microblogging networkWei LIULi-hong WANGRui-guang LIAccording to the dynamic and temporal characteristics of the topic-generated network, a method of quantitative calculation was designed, and then the topic-oriented research on the network measurement technology from many aspects such as the features of the content was conducted, as well as the network topology and the characteristics of the user behavior. The experiments on the SINA microblog showed four new results. The first is that only a small portion of tweets has been forwarded broadly and the number of retweets follows the power-law distribution. The second is that the tweets' number of one topic is episodic and changing frequently, and the burst topic can be detected by the local volatility feature found in the massive background microblog data. The third is that the small-world feature in the topic-generated retweeting network is not obvious, and the dense relationship doesn't necessarily induce the frequent retweeting behavior. The fourth is that the topic which has been propagated broadly usually has a portion of the consistently participating users, and the correla-tion of the user behavior can be used to detect the potential and important users. The experimental results are helpful for un-derstanding the propagating mode, the structural chara and the pattern of the user behavior in a topic-generated net-work, and the indicators measured in the experiment can also be effectively applied in the future analyses.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.019/content featuresnetwork topologyuser behaviorsmall-world propertylocal volatilityinfluence analysis |
| spellingShingle | Wei LIU Li-hong WANG Rui-guang LI Topic-oriented measurement of microblogging network Tongxin xuebao content features network topology user behavior small-world property local volatility influence analysis |
| title | Topic-oriented measurement of microblogging network |
| title_full | Topic-oriented measurement of microblogging network |
| title_fullStr | Topic-oriented measurement of microblogging network |
| title_full_unstemmed | Topic-oriented measurement of microblogging network |
| title_short | Topic-oriented measurement of microblogging network |
| title_sort | topic oriented measurement of microblogging network |
| topic | content features network topology user behavior small-world property local volatility influence analysis |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.11.019/ |
| work_keys_str_mv | AT weiliu topicorientedmeasurementofmicrobloggingnetwork AT lihongwang topicorientedmeasurementofmicrobloggingnetwork AT ruiguangli topicorientedmeasurementofmicrobloggingnetwork |