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In this work we present and analyze a fluid-mechanical model of competition (scavenging) amongst $N$ liquid droplets (individual competitors). The eventual outcome of this competition depends sensitively on the average resource (volume) per…

流体动力学 · 物理学 2019-02-18 Thomas C. Hagen , Paul H. Steen

Individuals accepting an idea may intentionally or unintentionally impose influences in a certain neighborhood area, making other individuals within the area less likely or even impossible to accept other competing ideas. Depending on…

物理与社会 · 物理学 2015-06-03 Yubo Wang , Gaoxi Xiao , Jian Liu

Although the many forms of modern social media have become major channels for the dissemination of information, they are becoming overloaded because of the rapidly-expanding number of information feeds. We analyze the expanding…

物理与社会 · 物理学 2015-07-14 Ling Feng , Yanqing Hu , Baowen Li , H. Eugene Stanley , Shlomo Havlin , Lidia A. Braunstein

Social influence drives both offline and online human behaviour. It pervades cultural markets, and manifests itself in the adoption of scientific and technical innovations as well as the spread of social practices. Prior empirical work on…

物理与社会 · 物理学 2014-07-14 J. -P. Onnela , F. Reed-Tsochas

With the advent of social media, different companies often promote competing products simultaneously for word-of-mouth diffusion and adoption by users in social networks. For such scenarios of competitive diffusion, prior studies show that…

社会与信息网络 · 计算机科学 2019-11-14 Jun Zhao , Junshan Zhang

The emergence of online social networks has greatly facilitated the diffusion of information and behaviors. While the two diffusion processes are often intertwined, "talking the talk" does not necessarily mean "walking the talk"--those who…

社会与信息网络 · 计算机科学 2018-01-24 Kang Zhao , Shiyao Wang , Ion B. Vasi , Qi Zhang

Information overload has become an ubiquitous problem in modern society. Social media users and microbloggers receive an endless flow of information, often at a rate far higher than their cognitive abilities to process the information. In…

社会与信息网络 · 计算机科学 2014-03-28 Manuel Gomez Rodriguez , Krishna Gummadi , Bernhard Schoelkopf

Influence maximization is a well-studied problem that asks for a small set of influential users from a social network, such that by targeting them as early adopters, the expected total adoption through influence cascades over the network is…

社会与信息网络 · 计算机科学 2015-11-06 Wei Lu , Wei Chen , Laks V. S. Lakshmanan

The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation…

计算机与社会 · 计算机科学 2010-08-09 Daniel M. Romero , Wojciech Galuba , Sitaram Asur , Bernardo A. Huberman

Influence maximization is the problem of finding a set of influential users in a social network such that the expected spread of influence under a certain propagation model is maximized. Much of the previous work has neglected the important…

社会与信息网络 · 计算机科学 2016-11-18 Wei Lu , Laks V. S. Lakshmanan

A monopolist faces a partially uninformed population of consumers, interconnected through a directed social network. In the network, the monopolist offers rewards to informed consumers (influencers) conditional on informing uninformed…

物理与社会 · 物理学 2017-10-25 Elias Carroni , Paolo Pin , Simone Righi

This paper is about the possible negative impact of excessive collaboration on the performance of top employees. With the rise of participatory culture and developments in communications technology, management practices require greater…

应用统计 · 统计学 2020-04-29 Anna Velyka , Marco Guerzoni

Information diffusion on social networks has been described as a collective outcome of threshold behaviors in the framework of threshold models. However, since the existing models do not take into account individuals' optimization problem,…

物理与社会 · 物理学 2022-09-08 Teruyoshi Kobayashi

Competition is one of the most fundamental phenomena in physics, biology and economics. Recent studies of the competition between innovations have highlighted the influence of switching costs and interaction networks, but the problem is…

物理与社会 · 物理学 2011-01-06 Carlos P. Roca , Moez Draief , Dirk Helbing

This paper presents a data-driven mean-field approach to model the popularity dynamics of users seeking public attention, i.e., influencers. We propose a novel analytical model that integrates individual activity patterns, expertise in…

社会与信息网络 · 计算机科学 2025-07-08 Franco Galante , Chiara Ravazzi , Luca Vassio , Michele Garetto , Emilio Leonardi

Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches us through connections in our social networks, as well as…

社会与信息网络 · 计算机科学 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

It is widely believed that one's peers influence product adoption behaviors. This relationship has been linked to the number of signals a decision-maker receives in a social network. But it is unclear if these same principles hold when the…

社会与信息网络 · 计算机科学 2020-09-09 Soumajyoti Sarkar , Ashkan Aleali , Paulo Shakarian , Mika Armenta , Danielle Sanchez , Kiran Lakkaraju

This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is…

社会与信息网络 · 计算机科学 2018-07-23 Marco Cremonini , Francesca Casamassima

When a new product enters a market already dominated by an existing product, will it survive along with this dominant product? Most of the existing works have shown the coexistence of two competing products spreading/being adopted on…

系统与控制 · 电气工程与系统科学 2024-04-01 Shailaja Mallick , Vishwaraj Doshi , Do Young Eun

In the age of information abundance, attention is a coveted resource. Social media platforms vigorously compete for users' engagement, influencing the evolution of their opinions on a variety of topics. With recommendation algorithms often…

物理与社会 · 物理学 2023-10-30 Andrea Somazzi , Giuseppe Maria Ferro , Diego Garlaschelli , Simon Asher Levin
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