Wikipedias: Collaborative web-based encyclopedias as complex networks

V. Zlatic; M. Bozicevic; H. Stefancic; M. Domazet

doi:10.1103/physreve.74.016115

Home/Archive/arXiv

arXiv · physics/0602149

Wikipedias: Collaborative web-based encyclopedias as complex networks

V. Zlatic·M. Bozicevic·H. Stefancic·M. Domazet

View original source ↗Read source document ↗Export metadata ↓

Abstract

Wikipedia is a popular web-based encyclopedia edited freely and collaboratively by its users. In this paper we present an analysis of Wikipedias in several languages as complex networks. The hyperlinks pointing from one Wikipedia article to another are treated as directed links while the articles represent the nodes of the network. We show that many network characteristics are common to different language versions of Wikipedia, such as their degree distributions, growth, topology, reciprocity, clustering, assortativity, path lengths and triad significance profiles. These regularities, found in the ensemble of Wikipedias in different languages and of different sizes, point to the existence of a unique growth process. We also compare Wikipedias to other previously studied networks.

Explore related subjects

physics.soc-ph

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

V. Zlatic, M. Bozicevic, H. Stefancic, M. Domazet. 2006-07-03. Wikipedias: Collaborative web-based encyclopedias as complex networks. https://doi.org/10.1103/physreve.74.016115

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

CrowdEgress: A Multi-Agent Simulation Platform for Pedestrian Crowd

This article introduces a simulation platform to study complex crowd behavior in social context. The agent-based model is extended based on the social force model, and it mainly describes how agents interact with each other, and also with surrounding facilities such as walls, doors and exits. The simulation platform is compatible to FDS+Evac, and the input data in FDS+Evac could be imported into our simulation platform to create single-floor compartment geometry, and a flow solver is used to generate the roadmap towards exits. Most importantly, we plan to integrate advanced social and psychological theory into our simulation platform, especially investigating human behavior in emergency evacuation,such as pre-evacuation behavior, exit-selection activities, social group and herding effect and so forth.

physics.soc-ph↗

arXiv2026

The distribution of violent event and interevent times in conflicts

Ongoing violent conflicts at all scales are interrupted by lulls without violence. Studies of interevent times found power-law distributions, based on coarse-grained data with a resolution of days or longer. Fine-grained data with a resolution of seconds or shorter is rare. Here, interevent times in violent conflicts are represented as multiplicative processes, and video-recorded street fights are used as fine grained data. For multiplicative processes, a mathematical theorem predicts that coarse grained data are power-law distributed, but fine grained data are lognormal. To the street violence data, however, the lognormal does not fit better than the power law (and vice versa), although the lognormal covers more data. Violent events, by contrast, take much energy and their durations are shorter, hence their distribution is better approximated by an exponential.

physics.soc-ph↗

arXiv2026

Generalized Discrete Fractal Dimensions of Graph Families

Quantifying the self-similarity of complex networks via discrete fractal dimensions is a fundamental problem in network science. In this paper, we investigate some general fractal dimensions of graph families based on q-energy and Rényi entropy. We first establish several bounds for the energy, and then discuss the monotonicity, measure invariance of the dimensions, as well as some concrete graph families.

physics.soc-ph↗