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Urban outputs, from economy to innovation, are known to grow as a power of a city's population. But, since large cities tend to be central in transportation and communication networks, the effects attributed to city size may be confounded…

物理与社会 · 物理学 2024-06-24 Xiaofan Liang , César A. Hidalgo , Pierre-Alexandre Balland , Siqi Zheng , Jianghao Wang

We uncover the global organization of clustering in real complex networks. As it happens with other fundamental properties of networks such as the degree distribution, we find that real networks are neither completely random nor ordered…

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the…

社会与信息网络 · 计算机科学 2015-04-15 Yuxiao Dong , Jie Tang , Nitesh Chawla , Tiancheng Lou , Yang Yang , Bai Wang

Mature social networking services are one of the greatest assets of today's organizations. This valuable asset, however, can also be a threat to an organization's confidentiality. Members of social networking websites expose not only their…

社会与信息网络 · 计算机科学 2013-09-03 Michael Fire , Rami Puzis , Yuval Elovici

We study the self-assembly of a complex network of collaborations among self-interested agents. The agents can maintain different levels of cooperation with different partners. Further, they continuously, selectively, and independently…

物理与社会 · 物理学 2015-05-13 Anne-Ly Do , Lars Rudolf , Thilo Gross

The urban networks of London and New York City are investigated as directed graphs within the paradigm of graph percolation. It has been recently observed that urban networks show a critical percolation transition when a fraction of edges…

物理与社会 · 物理学 2020-10-20 Marco Cogoni , Giovanni Busonera

Rich-club ordering refers to the tendency of nodes with a high degree to be more interconnected than expected. In this paper we consider the concept of rich-club ordering when generalized to structural measures that differ from the node…

物理与社会 · 物理学 2019-02-21 Matteo Cinelli

This study uses 125 responses from companies of all sizes headquartered in Germany, Switzerland, France and UK to reveal perceptions of the drivers of organisational agility. It further investigates current understanding of managing…

计算机与社会 · 计算机科学 2021-05-13 Ivan Kovynyov , Axel Buerck , Ralf Mikut

This paper uses a network dynamics model to explain the formation of a small-world network with an elite-clique. This network is a small-world network with an elite-clique at its center in which elites are also the centers of many small…

社会与信息网络 · 计算机科学 2018-11-20 Weiwei Gu , Jar-der Luo , Jifan Liu

Drawing on perspectives from telecommunications policy and neo-Gramscian understandings of international political economy, this paper offers an explanation and analysis of the shifting patterns of regulation which have been evident in the…

计算机与社会 · 计算机科学 2007-05-23 Seamus Simpson , Rorden Wilkinson

This chapter examines the possibility to analyze and compare human activities in an urban environment based on the detection of mobile phone usage patterns. Thanks to an unprecedented collection of counter data recording the number of…

物理与社会 · 物理学 2014-06-18 S. Grauwin , S. Sobolevsky , S. Moritz , I. Gódor , C. Ratti

A large number of complex systems, naturally emerging in various domains, are well described by directed networks, resulting in numerous interesting features that are absent from their undirected counterparts. Among these properties is a…

物理与社会 · 物理学 2021-05-19 Joseph D. O'Brien , Kleber A. Oliveira , James P. Gleeson , Malbor Asllani

Hubs, or vertices with large degrees, play massive roles in, for example, epidemic dynamics, innovation diffusion, and synchronization on networks. However, costs of owning edges can motivate agents to decrease their degrees and avoid…

无序系统与神经网络 · 物理学 2007-05-23 Naoki Masuda , Norio Konno

Economic growth is conventionally analyzed at the national level, yet cities generate the bulk of global output. Here we construct GDP trajectories for 8,808 functional urban areas (FUAs) across 165 countries over 1993-2019 using…

综合经济学 · 经济学 2026-03-18 Isaak Mengesha , Debraj Roy

The Internet is composed of routing devices connected between them and organized into independent administrative entities: the Autonomous Systems. The existence of different types of Autonomous Systems (like large connectivity providers,…

网络与互联网体系结构 · 计算机科学 2016-08-08 Mariano G. Beiró , Sebastián P. Grynberg , J. Ignacio Alvarez-Hamelin

Much work has been devoted to studying percolation of networks and interdependent networks under varying levels of failures. Researchers have considered many different realistic network structures, but thus far no study has incorporated the…

物理与社会 · 物理学 2018-11-21 Louis M. Shekhtman , Shlomo Havlin

In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from centralised models to more scattered origin and destination…

物理与社会 · 物理学 2021-06-30 Valentina Marin , Carlos Molinero , Elsa Arcaute

The number of parameters in state of the art neural networks has drastically increased in recent years. This surge of interest in large scale neural networks has motivated the development of new distributed training strategies enabling such…

机器学习 · 计算机科学 2022-07-11 Aidan N. Gomez , Oscar Key , Kuba Perlin , Stephen Gou , Nick Frosst , Jeff Dean , Yarin Gal

Collaboration networks provide a method for examining the highly heterogeneous structure of collaborative communities. However, we still have limited theoretical understanding of how individual heterogeneity relates to network…

物理与社会 · 物理学 2016-07-27 Katharine A. Anderson

Uncovering structural patterns in collaboration networks is key for understanding how knowledge flows and innovation emerges. These networks often exhibit a rich interplay of meso-scale structures, such as communities, core-periphery…

统计方法学 · 统计学 2025-11-25 Sara Geremia , Domenico De Stefano , Michael Fop