Dynamics of Online Collective Attention as Hawkes Self-exciting Process
Li, Zhenpeng1; Tang Xijin2,3
Source PublicationOPEN PHYSICS
AbstractUnderstanding the dynamic formation mechanism of online collective attention has been attracted diversified interests such as Internet memes, viral videos, or social media platforms and Web-based businesses, and has practical application in the area of marketing and advertising, propagation of information. Bulletin Board System, or BBS can be regarded as an ecosystem of digital resources connected and shaped by collective successive behaviors of users. Clicks and replies of the posts quantify the degree of collective attention. For example, the collective clicking behavior of users on BBS gives rise to the up and down of focus on posts, and transporting attention between topics, the ratio between clicks and replies measure the heat degree of a post. We analyzed the dynamics of collective attention millions of users on an interactive Tianya Zatan BBS. By analyzing the dynamics of clicks we uncovered a non-trivial Hawkes process self-exciting regularity concerning the impact of novelty exponential decay mechanism. Here, it able to explain the empirical data of BBS remarkably well, such as popular topics are observed in time frequently cluster, asymptotic normality of clicks. Our findings indicate that collective attention among large populations decays with a exponential decaying law, suggest the existence of a natural time scale over novelty fades. Importantly, we show that self-exciting point processes can be used for the purpose of collective attention modeling.
KeywordHawkes self-exciting process collective attention novelty decay herding effect
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[71661001] ; National Natural Science Foundation of China[61473284] ; National Natural Science Foundation of China[71731002] ; National Natural Science Foundation of China[71971190]
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000521410700001
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Document Type期刊论文
Corresponding AuthorLi, Zhenpeng
Affiliation1.Dali Univ, Dali 671003, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Li, Zhenpeng,Tang Xijin. Dynamics of Online Collective Attention as Hawkes Self-exciting Process[J]. OPEN PHYSICS,2020,18(1):6-13.
APA Li, Zhenpeng,&Tang Xijin.(2020).Dynamics of Online Collective Attention as Hawkes Self-exciting Process.OPEN PHYSICS,18(1),6-13.
MLA Li, Zhenpeng,et al."Dynamics of Online Collective Attention as Hawkes Self-exciting Process".OPEN PHYSICS 18.1(2020):6-13.
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