Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective

Abstract The popularization of information spreading in online social networks facilitates daily communication among people. Although much work has been done to study the effect of interactions among people on spreading, there is less work that considers the pattern of spreading behaviour when peopl...

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Autores principales:	Cangqi Zhou, Qianchuan Zhao, Wenbo Lu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0f27a13bec2a4409b3d2106f5ede7b1e
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spelling	oai:doaj.org-article:0f27a13bec2a4409b3d2106f5ede7b1e2021-12-02T16:07:04ZCumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective10.1038/s41598-017-05899-52045-2322https://doaj.org/article/0f27a13bec2a4409b3d2106f5ede7b1e2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05899-5https://doaj.org/toc/2045-2322Abstract The popularization of information spreading in online social networks facilitates daily communication among people. Although much work has been done to study the effect of interactions among people on spreading, there is less work that considers the pattern of spreading behaviour when people independently make their decisions. By comparing microblogging, an important medium for information spreading, with the disordered spin glass system, we find that there exist interesting corresponding relationships between them. And the effect of aging can be observed in both systems. Based on the analogy with the Trap Model of spin glasses, we derive a model with a unified power-function form for the growth of independent spreading activities. Our model takes several key factors into consideration, including memory effect, the dynamics of human interest, and the fact that older messages are more difficult to discover. We validate our model by a real-world microblogging data set. Our work indicates that, other than various features, some invariable rules should be considered during spreading prediction. This work also contributes a useful methodology for studying human dynamics.Cangqi ZhouQianchuan ZhaoWenbo LuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cangqi Zhou Qianchuan Zhao Wenbo Lu Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
description	Abstract The popularization of information spreading in online social networks facilitates daily communication among people. Although much work has been done to study the effect of interactions among people on spreading, there is less work that considers the pattern of spreading behaviour when people independently make their decisions. By comparing microblogging, an important medium for information spreading, with the disordered spin glass system, we find that there exist interesting corresponding relationships between them. And the effect of aging can be observed in both systems. Based on the analogy with the Trap Model of spin glasses, we derive a model with a unified power-function form for the growth of independent spreading activities. Our model takes several key factors into consideration, including memory effect, the dynamics of human interest, and the fact that older messages are more difficult to discover. We validate our model by a real-world microblogging data set. Our work indicates that, other than various features, some invariable rules should be considered during spreading prediction. This work also contributes a useful methodology for studying human dynamics.
format	article
author	Cangqi Zhou Qianchuan Zhao Wenbo Lu
author_facet	Cangqi Zhou Qianchuan Zhao Wenbo Lu
author_sort	Cangqi Zhou
title	Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
title_short	Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
title_full	Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
title_fullStr	Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
title_full_unstemmed	Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective
title_sort	cumulative dynamics of independent information spreading behaviour: a physical perspective
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/0f27a13bec2a4409b3d2106f5ede7b1e
work_keys_str_mv	AT cangqizhou cumulativedynamicsofindependentinformationspreadingbehaviouraphysicalperspective AT qianchuanzhao cumulativedynamicsofindependentinformationspreadingbehaviouraphysicalperspective AT wenbolu cumulativedynamicsofindependentinformationspreadingbehaviouraphysicalperspective
_version_	1718384761360089088

Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective

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