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I find that several models for information sharing in social networks can be interpreted as age-dependent multi-type branching processes, and build them independently following Sewastjanow. This allows to characterize criticality in (real…

物理与社会 · 物理学 2021-05-21 Eberhard Mayerhofer

Models of meme propagation on social networks, in which memes compete for limited user attention, can successfully reproduce the heavy-tailed popularity distributions observed in online settings. While system-wide popularity distributions…

物理与社会 · 物理学 2022-06-24 Kleber A. Oliveira , Samuel Unicomb , James P. Gleeson

A model for the spreading of online information or "memes" on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of [Gleeson et al., Phys.Rev. X., 2016] in two ways. First, even for a…

物理与社会 · 物理学 2019-03-01 Joseph D. O'Brien , Ioannis K. Dassios , James P. Gleeson

The spreading of news, memes and other pieces of information occurring via online social platforms has a strong and growing impact on our modern societies, with enormous consequences, that may be beneficial but also catastrophic. In this…

物理与社会 · 物理学 2018-08-01 Daniele Notarmuzi , Claudio Castellano

Modern social media platforms facilitate the rapid spread of information online. Modelling phenomena such as social contagion and information diffusion are contingent upon a detailed understanding of the information-sharing processes. In…

物理与社会 · 物理学 2018-05-22 Peter Mathews , Lewis Mitchell , Giang T. Nguyen , Nigel G. Bean

The creation and sharing of memes is a common modality of online social interactions. The goal of the present work is to better understand the collective dynamics of memes in this accelerating and competitive environment. By taking an…

社会与信息网络 · 计算机科学 2021-02-09 Trenton Ford , Rachel Krohn , Tim Weninger

Online popularity has enormous impact on opinions, culture, policy, and profits. We provide a quantitative, large scale, temporal analysis of the dynamics of online content popularity in two massive model systems, the Wikipedia and an…

Heavy-tailed distributions are found throughout many naturally occurring phenomena. We have reviewed the models of stochastic dynamics that lead to heavy-tailed distributions (and power law distributions, in particular) including the…

数学物理 · 物理学 2011-05-09 Ph. Blanchard , T. Krueger , D. Volchenkov

Power laws and distributions with heavy tails are common features of many experimentally studied complex systems, like the distribution of the sizes of earthquakes and solar flares, or the duration of neuronal avalanches in the brain.…

适应与自组织系统 · 物理学 2014-03-05 Dimitrije Markovic , Claudius Gros

Online social media have greatly affected the way in which we communicate with each other. However, little is known about what are the fundamental mechanisms driving dynamical information flow in online social systems. Here, we introduce a…

物理与社会 · 物理学 2016-05-18 James P. Gleeson , Kevin P. O'Sullivan , Raquel A. Baños , Yamir Moreno

Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain in momentum as they spread: ideas can get reinforced, beliefs…

We analyze access statistics of several popular webpages for a period of several years. The graphs of daily downloads are highly non-homogeneous with long periods of low activity interrupted by bursts of heavy traffic. These bursts are due…

物理与社会 · 物理学 2009-11-13 M. V. Simkin , V. P. Roychowdhury

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily.…

社会与信息网络 · 计算机科学 2013-11-12 Lilian Weng , Filippo Menczer , Yong-Yeol Ahn

We propose a stochastic model of web user behaviors in online social systems, and study the influence of attraction kernel on statistical property of user or item occurrence. Combining the different growth patterns of new entities and…

物理与社会 · 物理学 2009-11-12 Haibo Hu , Dingyi Han , Xiaofan Wang

Popularity describes the dynamics of mass attention, and is a part of a broader class of population dynamics in ecology and social science literature. Studying accurate model of popularity is important for quantifying spreading of novelty,…

物理与社会 · 物理学 2017-12-07 Hyungjoon Soh , Joo Hyung Hong , Jaeseung Jeong , Hawoong Jeong

Motivated by the empirical observation of power-law distributions in the credits (e.g., ``likes'') of viral posts in social media, we introduce a high-dimensional tail index regression model and propose methods for estimation and inference…

机器学习 · 统计学 2026-01-19 Yuya Sasaki , Jing Tao , Yulong Wang

Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation of memes across…

We propose a stochastic process driven by the memory effect with novel distributions which include both exponential and leptokurtic heavy-tailed distributions. A class of the distributions is analytically derived from the continuum limit of…

统计理论 · 数学 2012-03-27 Jongwook Kim , Teppei Okumura

Individuals in free societies frequently exhibit striking coordination when making independent decisions en masse. Examples include the regular appearance of hit products or memes with substantially higher popularity compared to their…

物理与社会 · 物理学 2016-11-11 Anindya S. Chakrabarti , Sitabhra Sinha

The probability distribution of number of ties of an individual in a social network follows a scale-free power-law. However, how this distribution arises has not been conclusively demonstrated in direct analyses of people's actions in…

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