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Most research of online communication focuses on modes of communication that are either open (like forums, bulletin boards, Twitter, etc.) or direct (like e-mails). In this work, we study a dataset that has both types of communication…

社会与信息网络 · 计算机科学 2014-08-13 Fariba Karimi , Verónica C. Ramenzoni , Petter Holme

Synchronization, in which individual dynamical units keep in pace with each other in a decentralized fashion, depends both on the dynamical units and on the properties of the interaction network. Yet, the role played by the network has…

无序系统与神经网络 · 物理学 2010-06-15 Takashi Nishikawa , Adilson E. Motter

How does one make acquaintances? A simple observation from everyday experience is that often one of our acquaintances introduces us to one of his acquaintances. Such a simple triangle interaction may be viewed as the basis of the evolution…

统计力学 · 物理学 2009-11-07 Joern Davidsen , Holger Ebel , Stefan Bornholdt

Effectively capturing the joint distribution of all agents in a scene is relevant for predicting the true evolution of the scene and in turn providing more accurate information to the decision processes of autonomous vehicles. While new…

机器人学 · 计算机科学 2026-01-28 Anna Mészáros , Javier Alonso-Mora , Jens Kober

In multiplex networks with a large number of layers, the nodes can have different activities, indicating the total number of layers in which the nodes are present. Here we model multiplex networks with heterogeneous activity of the nodes…

物理与社会 · 物理学 2016-03-15 Davide Cellai , Ginestra Bianconi

Real-world multi-layer networks feature nontrivial dependencies among links of different layers. Here we argue that, if links are directed, dependencies are twofold. Besides the ordinary tendency of links of different layers to align as the…

The Ego Network Model (ENM) describes how individuals organise their social relations in concentric circles (typically five) of decreasing intimacy, and it has been found almost ubiquitously in social networks, both offline and online. The…

社会与信息网络 · 计算机科学 2022-12-02 Jack Tacchi , Chiara Boldrini , Andrea Passarella , Marco Conti

Recommendation algorithms, used in online social networks, shape interactions between users. In particular, link-recommendation algorithms suggest new connections and affect how individuals interact and exchange information. These…

社会与信息网络 · 计算机科学 2026-04-23 Gabriella D. Franco , Marta C. Couto , Vítor V. Vasconcelos , Fernando P. Santos

People often interact repeatedly: with relatives, through file sharing, in politics, etc. Many such interactions are reciprocal: reacting to the actions of the other. In order to facilitate decisions regarding reciprocal interactions, we…

计算机科学与博弈论 · 计算机科学 2016-03-01 Gleb Polevoy , Mathijs de Weerdt , Catholijn Jonker

To understand a node's centrality in a multiplex network, its centrality values in all the layers of the network can be aggregated. This requires a normalization of the values, to allow their meaningful comparison and aggregation over…

社会与信息网络 · 计算机科学 2016-06-20 Sude Tavassoli , Katharina Anna Zweig

Directional relational event data, such as email data, often contain unicast messages (i.e., messages of one sender towards one receiver) and multicast messages (i.e., messages of one sender towards multiple receivers). The Enron email data…

统计方法学 · 统计学 2024-02-22 Joris Mulder , Peter D. Hoff

Friendship prediction is an important task in social network analysis (SNA). It can help users identify friends and improve their level of activity. Most previous approaches predict users' friendship based on their historical records, such…

社会与信息网络 · 计算机科学 2014-02-18 Erheng Zhong , Evan Wei Xiang , Wei Fan , Nathan Nan Liu , Qiang Yang

Digital networks have profoundly transformed the ways in which individuals interact, exchange information, and establish connections, leading to the emergence of phenomena such as virality, misinformation cascades, and online polarization.…

社会与信息网络 · 计算机科学 2025-03-06 Pengjia Cui

Many real networks exhibit a layered structure in which links in each layer reflect the function of nodes on different environments. These multiple types of links are usually represented by a multiplex network in which each layer has a…

物理与社会 · 物理学 2014-03-19 C. Buono , L. G. Alvarez Zuzek , P. A. Macri , L. A. Braunstein

We consider models for growing networks incorporating two effects not previously considered: (i) different species of nodes, with each species having different properties (such as different attachment probabilities to other node species);…

数据分析、统计与概率 · 物理学 2009-11-07 Jong-Won Kim , Brian Hunt , Edward Ott

A new statistical based model approach to characterize a user's behavior in an Internet access link is presented. The real patterns of Internet traffic in a heterogeneous Campus Network are studied. We find three clearly different patterns…

适应与自组织系统 · 物理学 2007-05-23 Carmen Pellicer-Lostao , Daniel Morato , Ricardo Lopez-Ruiz

Recently, it became possible to experimentally generate and characterize a very thin silica system on a substrate which can be basically described as a 2D random network. The key structural properties, in particular related to the ring…

无序系统与神经网络 · 物理学 2019-05-01 Projesh Kumar Roy , Andreas Heuer

We solve the weak percolation problem for multiplex networks with overlapping edges. In weak percolation, a vertex belongs to a connected component if at least one of its neighbors in each of the layers is in this component. This is a…

无序系统与神经网络 · 物理学 2022-09-14 G. J. Baxter , R. A. da Costa , S. N. Dorogovtsev , J. F. F. Mendes

This study uses positional analysis to describe the student interaction networks in four research-based introductory physics curricula. Positional analysis is a technique for simplifying the structure of a network into blocks of actors…

物理教育 · 物理学 2020-11-02 Adrienne L. Traxler , Tyme Suda , Eric Brewe , Kelley Commeford

We study the detailed growth of a social networking site with full temporal information by examining the creation process of each friendship relation that can collectively lead to the macroscopic properties of the network. We first study…

物理与社会 · 物理学 2015-06-03 Haibo Hu , Xiaofan Wang
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