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Temporal social networks of human interactions are preponderant in understanding the fundamental patterns of human behavior. In these networks, interactions occur locally between individuals (i.e., nodes) who connect with each other at…

物理与社会 · 物理学 2022-10-11 Shaunette T. Ferguson , Teruyoshi Kobayashi

Social networks are made out of strong and weak ties having very different structural and dynamical properties. But, what features of human interaction build a strong tie? Here we approach this question from an practical way by finding what…

物理与社会 · 物理学 2017-06-21 Henry Navarro , Giovanna Miritello , Arturo Canales , Esteban Moro

Individuals are always limited by some inelastic resources, such as time and energy, which restrict them to dedicate to social interaction and limit their contact capacity. Contact capacity plays an important role in dynamics of social…

物理与社会 · 物理学 2015-12-25 Wei Wang , Panpan Shu , Yu-Xiao Zhu , Ming Tang , Yi-Cheng Zhang

Humans interact through numerous channels to build and maintain social connections: they meet face-to-face, initiate phone calls or send text messages, and interact via social media. Although it is known that the network of physical…

社会与信息网络 · 计算机科学 2016-11-16 Enys Mones , Arkadiusz Stopczynski , Sune Lehmann

Recent research has shown the deep impact of the dynamics of human interactions (or temporal social networks) on the spreading of information, opinion formation, etc. In general, the bursty nature of human interactions lowers the…

物理与社会 · 物理学 2015-06-16 Giovanna Miritello , Rubén Lara , Esteban Moro

Human social interaction is often intermittent. Two acquainted persons can have extended periods without social interaction punctuated by periods of repeated interaction. In this case, the repeated interaction can be characterized by a seed…

社会与信息网络 · 计算机科学 2018-03-06 Anders Mollgaard , Joachim Mathiesen

In communication networks structure and dynamics are tightly coupled. The structure controls the flow of information and is itself shaped by the dynamical process of information exchanged between nodes. In order to reconcile structure and…

物理与社会 · 物理学 2013-04-08 Jan O. Haerter , Bjorn Jamtveit , Joachim Mathiesen

Electronic databases, from phone to emails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the…

物理与社会 · 物理学 2009-11-13 J. -P. Onnela , J. Saramaki , J. Hyvonen , G. Szabo , D. Lazer , K. Kaski , J. Kertesz , A. -L. Barabasi

Human contact networks are constituted by a multitude of individuals and pairwise contacts among them. However, the dynamic nature, which generates the evolution of human contact networks, of contact patterns is not known yet. Here, we…

物理与社会 · 物理学 2019-05-22 Cong Li , Jing Li , Xiang Li

We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is…

物理与社会 · 物理学 2015-05-20 Giovanna Miritello , Esteban Moro , Rubén Lara

Tie strengths in social networks are heterogeneous, with strong and weak ties playing different roles at both the network and the individual level. Egocentric networks, networks of relationships around a focal individual, exhibit a small…

物理与社会 · 物理学 2024-01-26 Gerardo Iñiguez , Sara Heydari , János Kertész , Jari Saramäki

We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tie strength and the way in which users distributed their limited time…

The structure and dynamic of social network are largely determined by the heterogeneous interaction activity and social capital allocation of individuals. These features interplay in a non-trivial way in the formation of network and…

The increasing availability of large-scale data on human behavior has catalyzed simultaneous advances in network theory, capturing the scaling properties of the interactions between a large number of individuals, and human dynamics,…

物理与社会 · 物理学 2013-04-10 Chaoming Song , Dashun Wang , Albert-Laszlo Barabasi

Modern society depends on the flow of information over online social networks, and users of popular platforms generate significant behavioral data about themselves and their social ties. However, it remains unclear what fundamental limits…

物理与社会 · 物理学 2019-02-12 James P. Bagrow , Xipei Liu , Lewis Mitchell

The strength of social relations has been shown to affect an individual's access to opportunities. To date, however, the correspondence between tie strength and population's economic prospects has not been quantified, largely because of the…

社会与信息网络 · 计算机科学 2022-12-23 Luca Maria Aiello , Sagar Joglekar , Daniele Quercia

Complex networks are used to depict topological features of complex systems. The structure of a network characterizes the interactions among elements of the system, and facilitates the study of many dynamical processes taking place on it.…

物理与社会 · 物理学 2012-06-22 Yan Zhang , Lin Wang , Yi-Qing Zhang , Xiang Li

The recent availability of data describing social networks is changing our understanding of the "microscopic structure" of a social tie. A social tie indeed is an aggregated outcome of many social interactions such as face-to-face…

物理与社会 · 物理学 2011-05-18 Kun Zhao , Juliette Stehle , Ginestra Bianconi , Alain Barrat

In social networks, individuals constantly drop ties and replace them by new ones in a highly unpredictable fashion. This highly dynamical nature of social ties has important implications for processes such as the spread of information or…

物理与社会 · 物理学 2016-01-22 Antonia Godoy-Lorite , Roger Guimera , Marta Sales-Pardo

Modeling human dynamics responsible for the formation and evolution of the so-called social networks - structures comprised of individuals or organizations and indicating connectivities existing in a community - is a topic recently…

计算机与社会 · 计算机科学 2007-05-23 Victor V. Kryssanov , Frank J. Rinaldo , Evgeny L. Kuleshov , Hitoshi Ogawa
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