Modeling and intelligent optimization of social collective behavior with online public opinion synchronization
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ORIGINAL ARTICLE
Modeling and intelligent optimization of social collective behavior with online public opinion synchronization Renbin Xiao1 · Jin Li1 · Tinggui Chen2,3 Received: 30 October 2016 / Accepted: 26 June 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018
Abstract Today, the public opinion synchronization on the network platform is becoming one of important issues worthy of careful study. In this paper, we take synchronization evolution phenomenon as an objective and adopt artificial bee colony (ABC) to evaluate network synchronization effects with optimization theory to find out an appropriate network structure. Firstly, we use the Kuramoto oscillators as a metaphor of the social system collective behavior. Secondly, combined with the social network characteristics obtained from the data of Sina Micro-Blog, a synchronization evolution model of Internet public opinion based on Kuramoto one is established. Subsequently, evolutionary multi-objective optimization model is set up and the ABC method is used to optimize the level of network synchronization, the synchronization starting time and the cost of public opinion synchronization. Finally, case analysis on “Double Eleven” Internet Marketing as well as Cadmium Poisoned Rice Event demonstrates that the synchronization performance of weak coupled system can be enhanced by offering reasonable configuration of the connection cost and the synchronization duration cost. In addition, a certain degree of increase in input cost can promote the synchronization performance and extend the synchronization duration significantly. Keywords Evolutionary multi-objective optimization · Artificial bee colony algorithm · Network synchronization · Kuramoto oscillators · Social collective behavior
1 Introduction With comprehensive promotion and application of Internet technology, the modern society has turned into an era as “we media”. Online social media tools like Internet forum, Facebook, Twitter and WeChat have become important communication channels for netizens to express their opinions, share their mood, spread and obtain information. Furthermore, with the rapid growth of netizens, information spread on the Internet has more and more impacts on merchandise promotion, brand construction, social emergency evolution, as well as public mood and attitude [1]. In fact, on the one hand, information spread on the Internet is usually * Tinggui Chen [email protected] 1
School of Automation, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China
2
Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 310018, People’s Republic of China
3
School of Management and E‑Business, Zhejiang Gongshang University, Hangzhou 310018, People’s Republic of China
accompanied by online public opinion propagation; on the other hand, in essence, it is a typical synchronization phenomenon of social collective behavior, which means many individuals often conduct the same action that leads to a certain kind of so
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