Heterogeneous characters modeling of instant message services users’ online behavior
Research on temporal characteristics of human dynamics has attracted much attentions for its contribution to various areas such as communication, medical treatment, finance, etc. Existing studies show that the time intervals between two consecutive events present different non-Poisson characteristic...
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| Format: | Article |
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Public Library of Science (PLoS)
2019
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| Online Access: | http://hdl.handle.net/1721.1/120999 https://orcid.org/0000-0002-9187-818X https://orcid.org/0000-0003-3434-391X https://orcid.org/0000-0002-9038-1622 |
| _version_ | 1811068974264221696 |
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| author | Cui, Hongyan Li, Ruibing Horn, Berthold Fang, Yajun Horn, Berthold K. P. Welsch, Roy E |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Cui, Hongyan Li, Ruibing Horn, Berthold Fang, Yajun Horn, Berthold K. P. Welsch, Roy E |
| author_sort | Cui, Hongyan |
| collection | MIT |
| description | Research on temporal characteristics of human dynamics has attracted much attentions for its contribution to various areas such as communication, medical treatment, finance, etc. Existing studies show that the time intervals between two consecutive events present different non-Poisson characteristics, such as power-law, Pareto, bimodal distribution of power-law, exponential distribution, piecewise power-law, et al. With the occurrences of new services, new types of distributions may arise. In this paper, we study the distributions of the time intervals between two consecutive visits to QQ and WeChat service, the top two popular instant messaging services in China, and present a new finding that when the value of statistical unit T is set to 0.001s, the inter-event time distribution follows a piecewise distribution of exponential and power-law, indicating the heterogeneous character of IM services users’ online behavior in different time scales. We infer that the heterogeneous character is related to the communication mechanism of IM and the habits of users. Then we develop a combination model of exponential model and interest model to characterize the heterogeneity. Furthermore, we find that the exponent of the inter-event time distribution of the same service is different in two cities, which is correlated with the popularity of the services. Our research is useful for the application of information diffusion, prediction of economic development of cities, and so on. |
| first_indexed | 2024-09-23T08:03:41Z |
| format | Article |
| id | mit-1721.1/120999 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T08:03:41Z |
| publishDate | 2019 |
| publisher | Public Library of Science (PLoS) |
| record_format | dspace |
| spelling | mit-1721.1/1209992022-09-23T10:37:49Z Heterogeneous characters modeling of instant message services users’ online behavior Cui, Hongyan Li, Ruibing Horn, Berthold Fang, Yajun Horn, Berthold K. P. Welsch, Roy E Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Fang, Yajun Horn, Berthold K. P. Welsch, Roy E Research on temporal characteristics of human dynamics has attracted much attentions for its contribution to various areas such as communication, medical treatment, finance, etc. Existing studies show that the time intervals between two consecutive events present different non-Poisson characteristics, such as power-law, Pareto, bimodal distribution of power-law, exponential distribution, piecewise power-law, et al. With the occurrences of new services, new types of distributions may arise. In this paper, we study the distributions of the time intervals between two consecutive visits to QQ and WeChat service, the top two popular instant messaging services in China, and present a new finding that when the value of statistical unit T is set to 0.001s, the inter-event time distribution follows a piecewise distribution of exponential and power-law, indicating the heterogeneous character of IM services users’ online behavior in different time scales. We infer that the heterogeneous character is related to the communication mechanism of IM and the habits of users. Then we develop a combination model of exponential model and interest model to characterize the heterogeneity. Furthermore, we find that the exponent of the inter-event time distribution of the same service is different in two cities, which is correlated with the popularity of the services. Our research is useful for the application of information diffusion, prediction of economic development of cities, and so on. National Natural Science Foundation (China) (61201153) National Basic Research Program of China (973 Program) (Grant 2012CB315805) CCF Venus Research Project (CCF-VenustechRP2016004) Jiangsu Industrial Technology Research Institute. Institute of Future Networks Technology (BY2013095-2-16) 2019-03-15T19:31:37Z 2019-03-15T19:31:37Z 2018-05 2017-07 2019-03-06T14:09:03Z Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/120999 Cui, Hongyan, Ruibing Li, Yajun Fang, Berthold Horn, and Roy E. Welsch. “Heterogeneous Characters Modeling of Instant Message Services Users’ Online Behavior.” Edited by Xiao-Pu Han. PLOS ONE 13, no. 5 (May 7, 2018): e0195518. © 2018 Cui et al. https://orcid.org/0000-0002-9187-818X https://orcid.org/0000-0003-3434-391X https://orcid.org/0000-0002-9038-1622 http://dx.doi.org/10.1371/JOURNAL.PONE.0195518 PLOS ONE Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science (PLoS) PLoS |
| spellingShingle | Cui, Hongyan Li, Ruibing Horn, Berthold Fang, Yajun Horn, Berthold K. P. Welsch, Roy E Heterogeneous characters modeling of instant message services users’ online behavior |
| title | Heterogeneous characters modeling of instant message services users’ online behavior |
| title_full | Heterogeneous characters modeling of instant message services users’ online behavior |
| title_fullStr | Heterogeneous characters modeling of instant message services users’ online behavior |
| title_full_unstemmed | Heterogeneous characters modeling of instant message services users’ online behavior |
| title_short | Heterogeneous characters modeling of instant message services users’ online behavior |
| title_sort | heterogeneous characters modeling of instant message services users online behavior |
| url | http://hdl.handle.net/1721.1/120999 https://orcid.org/0000-0002-9187-818X https://orcid.org/0000-0003-3434-391X https://orcid.org/0000-0002-9038-1622 |
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