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Even though the concept of tie strength is central in social network analysis, it is difficult to quantify how strong social ties are. One typical way of estimating tie strength in data-driven studies has been to simply count the total…

物理与社会 · 物理学 2020-07-29 Javier Ureña-Carrion , Jari Saramäki , Mikko Kivelä

The weight of links in a network is often related to the similarity of the nodes. Here, we introduce a simple tunable measure for analysing the similarity of nodes across different link weights. In particular, we use the measure to analyze…

社会与信息网络 · 计算机科学 2016-06-21 Anders Mollgaard , Ingo Zettler , Jesper Dammeyer , Mogens H. Jensen , Sune Lehmann , Joachim Mathiesen

We review the main tools which allow for the statistical characterization of weighted networks. We then present two case studies, the airline connection network and the scientific collaboration network, which are representative of critical…

统计力学 · 物理学 2009-11-10 Marc Barthelemy , Alain Barrat , Romualdo Pastor-Satorras , Alessandro Vespignani

Social interactions vary in time and appear to be driven by intrinsic mechanisms, which in turn shape the emerging structure of the social network. Large-scale empirical observations of social interaction structure have become possible only…

物理与社会 · 物理学 2015-12-09 Guillaume Laurent , Jari Saramäki , Márton Karsai

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

With the increasing availability of behavioral data from diverse digital sources, such as social media sites and cell phones, it is now possible to obtain detailed information about the structure, strength, and directionality of social…

统计方法学 · 统计学 2020-12-02 Heather Mattie , Jukka-Pekka Onnela

In this paper we define a metric for reciprocity---the degree of balance in a social relationship---appropriate for weighted social networks in order to investigate the distribution of this dyadic feature in a large-scale system built from…

社会与信息网络 · 计算机科学 2011-09-13 Cheng Wang , Anthony Strathman , Omar Lizardo , David Hachen , Zoltan Toroczkai , Nitesh V. Chawla

The growing awareness that human communications and social interactions are assuming a stratified structure, due to the availability of multiple techno-communication channels, including online social networks, mobile phone calls, short…

社会与信息网络 · 计算机科学 2014-01-15 Matteo Zignani , Christian Quadri , Sabrina Gaitto , Gian Paolo Rossi

Finding the strength of an edge in a network has always been a big demand. In the context of social networks, it allows to estimate the relationship strength between users. The best-known method to compute edge strength is the Neighbourhood…

社会与信息网络 · 计算机科学 2020-02-12 Ali Choumane

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…

Multiplex networks describe a large number of systems ranging from social networks to the brain. These multilayer structure encode information in their structure. This information can be extracted by measuring the correlations present in…

无序系统与神经网络 · 物理学 2015-04-23 Giulia Menichetti , Daniel Remondini , Ginestra Bianconi

Networked structures arise in a wide array of different contexts such as technological and transportation infrastructures, social phenomena, and biological systems. These highly interconnected systems have recently been the focus of a great…

统计力学 · 物理学 2009-11-10 Alain Barrat , Marc Barthelemy , Romualdo Pastor-Satorras , Alessandro Vespignani

Complex networks are often constructed by aggregating empirical data over time, such that a link represents the existence of interactions between the endpoint nodes and the link weight represents the intensity of such interactions within…

物理与社会 · 物理学 2012-05-29 Gautier Krings , Márton Karsai , Sebastian Bernharsson , Vincent D Blondel , Jari Saramäki

Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population,…

物理与社会 · 物理学 2022-11-29 Eszter Bokányi , Eelke M. Heemskerk , Frank W. Takes

Systems which consist of many localized constituents interacting with each other can be represented by complex networks. Consistently, network science has become highly popular in vast fields focusing on natural, artificial and social…

统计力学 · 物理学 2022-06-29 Rute Oliveira , Samuraí Brito , Luciano R. da Silva , Constantino Tsallis

Understanding the patterns of human dynamics and social interaction, and the way they lead to the formation of an organized and functional society are important issues especially for techno-social development. Addressing these issues of…

物理与社会 · 物理学 2011-08-26 Hang-Hyun Jo , Raj Kumar Pan , Kimmo Kaski

Granovetter's weak ties theory is a very important sociological theory according to which a correlation between edge weight and the network's topology should exist. More specifically, the neighbourhood overlap of two nodes connected by an…

物理与社会 · 物理学 2024-09-04 Maciej J Mrowinski , Kamil P. Orzechowski , Agata Fronczak , Piotr Fronczak

Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social…

社会与信息网络 · 计算机科学 2014-05-28 Ming-Xia Li , Zhi-Qiang Jiang , Wen-Jie Xie , Salvatore Miccichè , Michele Tumminello , Wei-Xing Zhou , Rosario N. Mantegna

In this paper, we analyze statistical properties of a communication network constructed from the records of a mobile phone company. The network consists of 2.5 million customers that have placed 810 millions of communications (phone calls…

Many processes of spreading and diffusion take place on temporal networks, and their outcomes are influenced by correlations in the times of contact. These correlations have a particularly strong influence on processes where the spreading…

物理与社会 · 物理学 2017-09-19 Mikko Kivelä , Jordan Cambe , Jari Saramäki , Márton Karsai
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