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Often exhibiting hierarchical and overlapping structures, communities or modular groups are fundamental and complex in network science. One of the most exploited tools to detect the mesoscopic structure is synchronization. Several phenomena…

物理与社会 · 物理学 2018-07-05 Ren Ren , Jinliang Shao

People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their personality. Facebook and other social media provide a new…

计算机视觉与模式识别 · 计算机科学 2017-08-15 Cristina Segalin , Fabio Celli , Luca Polonio , Michal Kosinski , David Stillwell , Nicu Sebe , Marco Cristani , Bruno Lepri

A general model of opinion dynamics is introduced in which each individual's opinion is measured on a bounded continuous spectrum. Each opinion is influenced heterogeneously by every other opinion in the population. It is demonstrated that…

物理与社会 · 物理学 2021-10-22 Joseph William Baron

Individuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities,…

社会与信息网络 · 计算机科学 2024-08-16 Federico Albanese , Esteban Feuerstein , Pablo Balenzuela

Information flow, opinion, and epidemics spread over structured networks. When using individual node centrality indicators to predict which nodes will be among the top influencers or spreaders in a large network, no single centrality has…

社会与信息网络 · 计算机科学 2020-11-30 Doina Bucur

Research from a variety of fields including psychology and linguistics have found correlations and patterns in personal attributes and behavior, but efforts to understand the broader heterogeneity in human behavior have not yet integrated…

物理与社会 · 物理学 2017-08-10 Vincent Wong , Yaneer Bar-Yam

In many areas of data mining, data is collected from humans beings. In this contribution, we ask the question of how people actually respond to ordinal scales. The main problem observed is that users tend to be volatile in their choices,…

人机交互 · 计算机科学 2017-03-01 Kevin Jasberg , Sergej Sizov

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behavior. Fundamental principles constraining these dynamic network processes have remained elusive. Here we use network control…

神经元与认知 · 定量生物学 2015-10-28 Shi Gu , Fabio Pasqualetti , Matthew Cieslak , Scott T. Grafton , Danielle S. Bassett

When people prefer to coordinate their behaviors with their friends -- e.g., choosing whether to adopt a new technology, to protest against a government, to attend university -- divisions within a social network can sustain different…

物理与社会 · 物理学 2023-11-21 Matthew O. Jackson , Evan C. Storms

Social learning -by observing and copying others- is a highly successful cultural mechanism for adaptation, outperforming individual information acquisition and experience. Here, we investigate social learning in the context of the uniquely…

社会与信息网络 · 计算机科学 2016-06-15 Iyad Rahwan , Dmytro Krasnoshtan , Azim Shariff , Jean-Francois Bonnefon

Over the past decade, contrary to the early popular expectation that large-scale discourse in online communities would foster greater consensus, the large-scale structure of online discourse has been measured to be strongly polarized.…

物理与社会 · 物理学 2025-01-28 Vince Campo , Sebastien Motsch , Dylan Weber

The online exchange of social recognition including, for instance, the Facebook "like" appears to produce a scarce allocation without a clear utility function defined for anyone involved. Given the importance attached to such digital…

社会与信息网络 · 计算机科学 2014-09-16 Stan Palasek

In this short essay, we discuss some basic features of cognitive activity at several different space-time scales: from neural networks in the brain to civilizations. One motivation for such comparative study is its heuristic value. Attempts…

人工智能 · 计算机科学 2017-09-12 Dmitrii Yu. Manin , Yuri I. Manin

This paper proposes a network model of opinion dynamics based on both the social network structure and network centralities. The conceptual novelty in this model is that the opinion of each individual is weighted by the associated network…

社会与信息网络 · 计算机科学 2022-02-08 Shuang Gao

Neural systems show a modular and typically also a hierarchical organisation across different levels and across different species. Topology relates to function, but it is also influences dynamics as earlier studies showed its effect on…

神经元与认知 · 定量生物学 2014-05-15 Marcus Kaiser

Low-level "adaptive" and higher-level "sophisticated" human reasoning processes have been proposed to play opposing roles in the emergence of unpredictable collective behaviors like crowd panics, traffic jams, and market bubbles. While…

物理与社会 · 物理学 2017-06-08 Seth Frey , Robert L. Goldstone

The question of how people form their opinion has fascinated economists and sociologists for quite some time. In many of the models, a group of people in a social network, each holding a numerical opinion, arrive at a shared opinion through…

计算机科学与博弈论 · 计算机科学 2012-03-15 David Bindel , Jon Kleinberg , Sigal Oren

We introduce a new model that mimics the strong and sudden effects induced by conformity in tightly interacting human societies. Such effects range from mere crowd phenomena to dramatic political turmoil. The model is a modified version of…

物理与社会 · 物理学 2015-06-26 A. L. Efros , P. Désesquelles

In recent decades, the massification of online social connections has made information globally accessible in a matter of seconds. Unfortunately, this has been accompanied by a dramatic surge in extreme opinions, without a clear solution in…

社会与信息网络 · 计算机科学 2024-03-20 Vincent Bouttier , Salomé Leclercq , Renaud Jardri , Sophie Deneve

People regularly share items using online social media. However, people's decisions around sharing---who shares what to whom and why---are not well understood. We present a user study involving 87 pairs of Facebook users to understand how…

人机交互 · 计算机科学 2014-12-04 Amit Sharma , Dan Cosley