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Virtually all real-world networks are dynamical entities. In social networks, the propensity of nodes to engage in social interactions (activity) and their chances to be selected by active nodes (attractiveness) are heterogeneously…

物理与社会 · 物理学 2017-06-13 Laura Alessandretti , Kaiyuan Sun , Andrea Baronchelli , Nicola Perra

According to personality psychology, personality traits determine many aspects of human behaviour. However, validating this insight in large groups has been challenging so far, due to the scarcity of multi-channel data. Here, we focus on…

物理与社会 · 物理学 2018-11-12 Laura Alessandretti , Sune Lehmann , Andrea Baronchelli

The social brain hypothesis states that the relative size of the neocortex is larger for species with higher social complexity as a result of evolution. Various lines of empirical evidence have supported the social brain hypothesis,…

物理与社会 · 物理学 2024-02-07 Neil G. MacLaren , Lingqi Meng , Melissa Collier , Naoki Masuda

Our usage of language is not solely reliant on cognition but is arguably determined by myriad external factors leading to a global variability of linguistic patterns. This issue, which lies at the core of sociolinguistics and is backed by…

计算与语言 · 计算机科学 2018-04-05 Jacob Levy Abitbol , Márton Karsai , Jean-Philippe Magué , Jean-Pierre Chevrot , Eric Fleury

We study the evolution of the network properties of a populated network embedded in a genotype space characterised by either a low or a high number of potential links, with particular emphasis on the connectivity and clustering. Evolution…

统计力学 · 物理学 2007-05-23 Paul Anderson , Henrik Jeldtoft Jensen

Understanding social dynamics that govern human phenomena, such as communications and social relationships is a major problem in current computational social sciences. In particular, given the unprecedented success of online social networks…

社会与信息网络 · 计算机科学 2013-06-25 Emilio Ferrara

The social brain hypothesis postulates the increasing complexity of social interactions as a driving force for the evolution of cognitive abilities. Whereas dyadic and triadic relations play a basic role in defining social behaviours and…

神经元与认知 · 定量生物学 2018-09-25 Denis Boyer , Gabriel Ramos-Fernandez

Describing the dynamics of a city is a crucial step to both understanding the human activity in urban environments and to planning and designing cities accordingly. Here we describe the collective dynamics of New York City and surrounding…

物理与社会 · 物理学 2025-11-03 Urbano França , Hiroki Sayama , Colin McSwiggen , Roozbeh Daneshvar , Yaneer Bar-Yam

Social networks tend to disproportionally favor connections between individuals with either similar or dissimilar characteristics. This propensity, referred to as assortative mixing or homophily, is expressed as the correlation between…

社会与信息网络 · 计算机科学 2011-08-10 Johan Bollen , Bruno Goncalves , Guangchen Ruan , Huina Mao

Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying such social influence is tricky because these activities are…

社会与信息网络 · 计算机科学 2016-04-06 Amit Sharma , Dan Cosley

This paper examines inequalities in the usage of smartphone technology based on five samples of smartphone owners collected in Germany and Austria between 2016 and 2020. We identify six distinct types of smartphone users by conducting…

计算机与社会 · 计算机科学 2021-11-10 Alexander Wenz , Florian Keusch

Not all smartphone owners use their device in the same way. In this work, we uncover broad, latent patterns of mobile phone use behavior. We conducted a study where, via a dedicated logging app, we collected daily mobile phone activity data…

人机交互 · 计算机科学 2018-07-09 Kleomenis Katevas , Ioannis Arapakis , Martin Pielot

Human social behavior is organized in stratified, hierarchical networks, with a support group with about 5 members, expanding proportionally at each layer up to a maximum of approximately 150 frequent interactions per individual. This is…

物理与社会 · 物理学 2025-10-20 Airton Deppman

Identifying the factors that influence academic performance is an essential part of educational research. Previous studies have documented the importance of personality traits, class attendance, and social network structure. Because most of…

计算机与社会 · 计算机科学 2018-04-10 Valentin Kassarnig , Enys Mones , Andreas Bjerre-Nielsen , Piotr Sapiezynski , David Dreyer Lassen , Sune Lehmann

Social animals, including humans, have a broad range of personality traits, which can be used to predict individual behavioral responses and decisions. Current methods to quantify individual personality traits in humans rely on self-report…

社会与信息网络 · 计算机科学 2024-09-20 Yuval Samoilov-Katz , Yoram Louzoun , Lev Muchnik , Adam Zaidel

In recent years it has become evident the need of understanding how failure of coordination imposes constraints on the size of stable groups that highly social mammals can live in. We examine here the forces that keep animals together as a…

物理与社会 · 物理学 2026-03-09 Laura P. Schaposnik , Sheryl Hsu , Robin I. M. Dunbar

Temporality, a crucial characteristic in the formation of social relationships, was used to quantify the long-term time effects of networks for link prediction models, ignoring the heterogeneity of time effects on different time scales. In…

社会与信息网络 · 计算机科学 2024-06-17 Yueran Duan , Mateusz Nurek , Qing Guan , Radosław Michalski , Petter Holme

Rodents serve as an important model for examining both individual and collective behavior. Dominance within rodent social structures can determine access to critical resources, such as food and mating opportunities. Yet, many aspects of the…

定量方法 · 定量生物学 2024-08-20 Mate Nagy , Jacob D. Davidson , Gabor Vasarhelyi , Daniel Abel , Eniko Kubinyi , Ahmed El Hady , Tamas Vicsek

Modern online social platforms enable their members to be involved in a broad range of activities like getting friends, joining groups, posting/commenting resources and so on. In this paper we investigate whether a correlation emerges…

社会与信息网络 · 计算机科学 2015-04-15 Santa Agreste , Pasquale De Meo , Emilio Ferrara , Sebastiano Piccolo , Alessandro Provetti

We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to…

社会与信息网络 · 计算机科学 2022-05-30 R. I. M. Dunbar , Valerio Arnaboldi , Marco Conti , Andrea Passarella