Literature DB >> 12689131

Small-world properties of the Indian railway network.

Parongama Sen1, Subinay Dasgupta, Arnab Chatterjee, P A Sreeram, G Mukherjee, S S Manna.   

Abstract

Structural properties of the Indian railway network is studied in the light of recent investigations of the scaling properties of different complex networks. Stations are considered as "nodes" and an arbitrary pair of stations is said to be connected by a "link" when at least one train stops at both stations. Rigorous analysis of the existing data shows that the Indian railway network displays small-world properties. We define and estimate several other quantities associated with this network.

Year:  2003        PMID: 12689131     DOI: 10.1103/PhysRevE.67.036106

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  24 in total

1.  The complex network of global cargo ship movements.

Authors:  Pablo Kaluza; Andrea Kölzsch; Michael T Gastner; Bernd Blasius
Journal:  J R Soc Interface       Date:  2010-01-19       Impact factor: 4.118

2.  Universal fractal scaling of self-organized networks.

Authors:  Paul J Laurienti; Karen E Joyce; Qawi K Telesford; Jonathan H Burdette; Satoru Hayasaka
Journal:  Physica A       Date:  2011-10-01       Impact factor: 3.263

3.  A network-based framework for assessing infrastructure resilience: a case study of the London metro system.

Authors:  Shauhrat S Chopra; Trent Dillon; Melissa M Bilec; Vikas Khanna
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

4.  How can social network analysis contribute to social behavior research in applied ethology?

Authors:  Maja M Makagon; Brenda McCowan; Joy A Mench
Journal:  Appl Anim Behav Sci       Date:  2012-05-01       Impact factor: 2.448

5.  Circuity analyses of HSR network and high-speed train paths in China.

Authors:  Xinlei Hu; Shuo Zhao; Feng Shi; Jie Huang; Xinghua Shan
Journal:  PLoS One       Date:  2017-09-25       Impact factor: 3.240

6.  The multilayer temporal network of public transport in Great Britain.

Authors:  Riccardo Gallotti; Marc Barthelemy
Journal:  Sci Data       Date:  2015-01-06       Impact factor: 6.444

7.  Random and targeted interventions for epidemic control in metapopulation models.

Authors:  Gouhei Tanaka; Chiyori Urabe; Kazuyuki Aihara
Journal:  Sci Rep       Date:  2014-07-16       Impact factor: 4.379

8.  Network 'small-world-ness': a quantitative method for determining canonical network equivalence.

Authors:  Mark D Humphries; Kevin Gurney
Journal:  PLoS One       Date:  2008-04-30       Impact factor: 3.240

9.  Complex Network Theory Applied to the Growth of Kuala Lumpur's Public Urban Rail Transit Network.

Authors:  Rui Ding; Norsidah Ujang; Hussain Bin Hamid; Jianjun Wu
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

10.  Mean field approximation for biased diffusion on Japanese inter-firm trading network.

Authors:  Hayafumi Watanabe
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.