Visualization of Very Large Networks: The Co-starring Social Network

Haughton, Dominique; McLaughlin, Mark-David; Mentzer, Kevin; Zhang, Changan

doi:10.1007/978-3-319-09426-7_3

Visualization of Very Large Networks: The Co-starring Social Network

Dominique Haughton⁵,
Mark-David McLaughlin⁶,
Kevin Mentzer⁷ &
…
Changan Zhang⁸

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Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

Abstract

This chapter describes and contrasts two main approaches to visualizing the very large actor co-starring network. Technical details on how to construct the visualizations are provided and memory problems discussed. The chapter demonstrates a successful use of k-core techniques for visualizing large networks.

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References

Beiro MG, Alvarez-Hamelin JI, Busch JR. A low complexity visualization tool that helps to perform complex systems analysis. New J Phys. 2008;10:125003. doi:10.1088/1367-2630/10/12/125003.
Article Google Scholar
De Nooy W, Mrvar A, Batagelj V. Exploratory social network analysis with Pajek. Cambridge: Cambridge University Press; 2011.
Book Google Scholar
Gephi. Network visualization and analysis platform. Available from http://gephi.github.io. 2015.
Ignacio Alvarez-Hamelin J, Dall’Asta L, Barrat A, Vespignani A. K-core decomposition: a tool for the visualization of large scale networks. Available from http://arxiv.org/pdf/cs/0504107.pdf. 2005.
Jacomy M, Venturini T, Heymann S, Bastian M. ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software. PLoS One. 2014;9(6):e98679. doi:10.1371/journal.pone.0098679.
Article Google Scholar
Pajek. Program for large network analysis. Available from http://pajek.imfm.si/doku.php?id=pajek. 2015.
Python. Programming language. Available from www.python.org. 2015.

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Authors and Affiliations

Bentley University Université Paris 1 Panthéon-Sorbonne (SAMM) and Université Toulouse 1 (GREMAQ), Waltham, MA, USA
Dominique Haughton
Information and Process Management, Bentley University and Cisco Systems, Waltham, MA, USA
Mark-David McLaughlin
Business, Bentley University and Bryant University, Waltham, MA, USA
Kevin Mentzer
Business, Bentley University and CTrip, Waltham, MA, USA
Changan Zhang

Authors

Dominique Haughton
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Mark-David McLaughlin
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Kevin Mentzer
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Changan Zhang
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Haughton, D., McLaughlin, MD., Mentzer, K., Zhang, C. (2015). Visualization of Very Large Networks: The Co-starring Social Network. In: Movie Analytics. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-09426-7_3

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DOI: https://doi.org/10.1007/978-3-319-09426-7_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09425-0
Online ISBN: 978-3-319-09426-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

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