Literature DB >> 24648604

Leadership Insularity: A New Measure of Connectivity Between Central Nodes in Networks.

Samuel Arbesman1, Nicholas A Christakis2.   

Abstract

We combine two foci of interest with respect to community identification and node centrality and create a novel metric termed "leadership insularity." By determining the most highly connected nodes within each community of a network, we designate the 'community leaders' within the graph. In doing this, we have the basis for a novel metric that examines how connected, or disconnected, the leaders are to each other. This measure has a number of appealing measurement properties and provides a new way of understanding how network structure can affect its dynamics, especially information flow. We explore leadership insularity in a variety of networks.

Entities:  

Year:  2010        PMID: 24648604      PMCID: PMC3955896     

Source DB:  PubMed          Journal:  Connect (Tor)        ISSN: 0226-1766


  7 in total

1.  Randomized trial testing the effect of peer education at increasing fruit and vegetable intake.

Authors:  D B Buller; C Morrill; D Taren; M Aickin; L Sennott-Miller; M K Buller; L Larkey; C Alatorre; T M Wentzel
Journal:  J Natl Cancer Inst       Date:  1999-09-01       Impact factor: 13.506

2.  Implementing a 5-a-day peer health educator program for public sector labor and trades employees.

Authors:  D Buller; M K Buller; L Larkey; L Sennott-Miller; D Taren; M Aickin; T M Wentzel; C Morrill
Journal:  Health Educ Behav       Date:  2000-04

3.  Finding local community structure in networks.

Authors:  Aaron Clauset
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-08-29

4.  The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles.

Authors:  R Guimerà; S Mossa; A Turtschi; L A N Amaral
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-23       Impact factor: 11.205

5.  An experimental study of the coloring problem on human subject networks.

Authors:  Michael Kearns; Siddharth Suri; Nick Montfort
Journal:  Science       Date:  2006-08-11       Impact factor: 47.728

6.  Finding community structure in networks using the eigenvectors of matrices.

Authors:  M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-09-11

7.  The structure of scientific collaboration networks.

Authors:  M E Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-09       Impact factor: 11.205

  7 in total
  1 in total

1.  Post Disaster Governance, Complexity and Network Theory: Evidence from Aceh, Indonesia After the Indian Ocean Tsunami 2004.

Authors:  Jonatan A Lassa
Journal:  PLoS Curr       Date:  2015-07-01
  1 in total

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