The Spreading of Information in Online Social Networks through Cellular Automata
Epidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. In this paper,...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1890643 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841524643050029056 |
|---|---|
| author | Yuda Wang Gang Li |
| author_facet | Yuda Wang Gang Li |
| author_sort | Yuda Wang |
| collection | DOAJ |
| description | Epidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. In this paper, we propose an online social networks information spreading (OSIS) model combining epidemic models and individual’s cognitive psychology. Then we design a cellular automata (CA) method to provide a computational method for OSIS. Finally, we use OSIS and CA to simulate the spreading and evolution of information in online social networks. The experimental results indicate that OSIS is effective. Firstly, individual’s cognition affects online information spreading. When infection rate is low, it prevents the spreading, whereas when infection rate is sufficiently high, it promotes transmission. Secondly, the explosion of online social network scale and the convenience of we-media greatly increase the ability of information dissemination. Lastly, the demise of information is affected by both time and heat decay rather than probability. We believe that these findings are in the right direction for perceiving information spreading in online social networks and useful for public management policymakers seeking to design efficient programs. |
| format | Article |
| id | doaj-art-855b119bc3e64fffb0d608d6afaea765 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-855b119bc3e64fffb0d608d6afaea7652025-02-03T05:47:43ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/18906431890643The Spreading of Information in Online Social Networks through Cellular AutomataYuda Wang0Gang Li1School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaEpidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. In this paper, we propose an online social networks information spreading (OSIS) model combining epidemic models and individual’s cognitive psychology. Then we design a cellular automata (CA) method to provide a computational method for OSIS. Finally, we use OSIS and CA to simulate the spreading and evolution of information in online social networks. The experimental results indicate that OSIS is effective. Firstly, individual’s cognition affects online information spreading. When infection rate is low, it prevents the spreading, whereas when infection rate is sufficiently high, it promotes transmission. Secondly, the explosion of online social network scale and the convenience of we-media greatly increase the ability of information dissemination. Lastly, the demise of information is affected by both time and heat decay rather than probability. We believe that these findings are in the right direction for perceiving information spreading in online social networks and useful for public management policymakers seeking to design efficient programs.http://dx.doi.org/10.1155/2018/1890643 |
| spellingShingle | Yuda Wang Gang Li The Spreading of Information in Online Social Networks through Cellular Automata Complexity |
| title | The Spreading of Information in Online Social Networks through Cellular Automata |
| title_full | The Spreading of Information in Online Social Networks through Cellular Automata |
| title_fullStr | The Spreading of Information in Online Social Networks through Cellular Automata |
| title_full_unstemmed | The Spreading of Information in Online Social Networks through Cellular Automata |
| title_short | The Spreading of Information in Online Social Networks through Cellular Automata |
| title_sort | spreading of information in online social networks through cellular automata |
| url | http://dx.doi.org/10.1155/2018/1890643 |
| work_keys_str_mv | AT yudawang thespreadingofinformationinonlinesocialnetworksthroughcellularautomata AT gangli thespreadingofinformationinonlinesocialnetworksthroughcellularautomata AT yudawang spreadingofinformationinonlinesocialnetworksthroughcellularautomata AT gangli spreadingofinformationinonlinesocialnetworksthroughcellularautomata |