Connected Action
Menu
  • Services
    • Buy a social media network map and report
    • Training
    • Conferences
    • Data Reporting
    • Log in or Join us
    • Customize NodeXL
    • NodeXL
    • Marc Smith
    • About Us
  • Buy maps
    • Twitter Search Network Map and Report
    • Graph Server Twitter Search Network Map and Report
    • Other products and services
  • Sample maps
  • Blog
    • Books
    • NodeXL
    • Events
  • Newsletter
  • Videos
  • Contact
  • Log In

CHI 2013

Dr. Cody Dunne speaks about Network Motif Simplification at the recent CHI 2013 conference in Paris, France

06MayMay 7, 2015 By Marc Smith

Here is Dr. Cody Dunne speaking about a new information visualization technique called “Network Motif Simplification” at the recent CHI 2013 conference in Paris, France.

Cody Dunne presents Network Motif Simplification at CHI 2013 Photo Credit: Ben ShneidermanDr. Cody Dunne at CHI 2013 (Photo Credit: Ben Shneiderman)

Networks, no matter how complex, are composed of simpler, smaller structures, called motifs.  Some of these structures are easy to identify, like the pattern of a “star” where a single node acts as the sole connection to a connected component for one or more “pendant” nodes with a single tie.  Another common pattern are nodes that are “parallel bridges” which share the only two connections they have with two or more other nodes.  These common structures  can be identified and removed and replaced with more efficient and comprehensible representations.

His paper with Prof. Ben Shneiderman at CHI 2013, “Motif simplification: improving network visualization readability with fan, connector, and clique glyphs“, demonstrates a novel method for improving the quality of network visualizations.  Common network motifs appear frequently in networks.  In network motif simplification these patterns are removed and replaced with simpler composite images:


Motifs collapse into simple glyphs

The result is a simplification of the network visualization, removing clutter to reveal the core structural properties of interest.

2013-NodeXL-Analysis-Groups-By Motif exampleA complex network of voting relationships in the
2007 United State Senate is reduced to a simplified form

This method for collapsing complex network graphs into simpler forms has been implemented in NodeXL.  Look for the feature in the NodeXL Ribbon menu, in the NodeXL > Analysis > Groups > Group by Motif… option.

2013-NodeXL-Analysis-Groups-By Motif
NodeXL implements network motif simplification

The feature allows users to select the types of motifs that should be recognized and collapsed:

2013-NodeXL-Analysis-Groups-By Motif Dialog
Users select network motifs to find and replace

The paper has been reviewed by Stephen Few on the Perceptual Edge Visual Business Intelligence blog.

Here is Dr. Dunne’s video explaining and demonstrating the concept:

For more information about the project, see: http://www.cs.umd.edu/hcil/nicernetvis

Posted in 2013, All posts, CHI, Conference, Foundation, Maryland, Network visualization layouts, NodeXL, Research, Social Media Research Foundation, Social network, University, Visualization Tagged 2013, Chart, CHI 2013, Cody, Dunne, graph, Map, Motif, network, network analysis, NodeXL, Simplification, SNA, Visualization 11 Comments

Connected Action Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us

Subscribe to Connected Action

Get updates when there is new content from Connected Action.

Related content:

Twitter Facebookflickrlinkedin
slidesharedeliciousdeliciousVimeo


Social Media Research Foundation

Help support the Social Media Research Foundation

Book: Analyzing Social Media Networks with NodeXL: Insights from a connected world

The book Analyzing Social Media Networks with NodeXL: Insights from a connected world is now available from Morgan-Kaufman and Amazon.

Communities in Cyberspace

Communities in Cyberspace

Recent Posts

  • Buy a map
  • Book: Transparency in Social Media Edited by Sorin Matei, Martha Russell and Elisa Bertino – with a chapter on NodeXL
  • June 5, 2015: Personal Democracy Forum – Talk on taking pictures of virtual crowds
  • Trust issues and Excel: how to open other people’s NodeXL documents
  • May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

Tags

2009 2010 2011 2013 2014 2015 Analysis Analytics April Chart Conference Data Event Excel graph June Lecture Map March Marc Smith May Media network NodeXL October Paper Presentation Research San Francisco SMRF SMRFoundation SNA social Social Media socialmedia Social Media Research Foundation Social network Sociology Talk Training Twitter University Video Visualization workshop

Categories

Archives

February 2023
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728  
« Jul    

Transparency in Social Media

2015-07-30-Transparency in Social Media-Structures of Twitter Crowds and COnversations
Transparency in Social Media
Sorin Adam Matei, Martha G. Russell, Elisa Bertino

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES: Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)

Apply NodeXL in espanol!

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES - Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)
By: Vivian Francos from #SEOHashtag Comparto algunas de las mejores formas de elegir los hashtags más poderosos y
que puedan generar tráfico a tus redes sociales para aprovechar el poder del
hashtag.
Si quieres aumentar tus interacciones, debes aprender a utilizar los hashtags como herramienta.

https://amzn.to/305Hpsv

Networked


Networked By Lee Rainie and Barry Wellman

Social Media in the Public Sector

2015-07-31Social Media in the Public Sector-Cover
Ines Mergel

Ways of Knowing in HCI

2014-Ways of Knowing in HCI - Olson and Kellogg

The Virtual Community


Virtual Community

The Evolution of Cooperation


The Evolution of Cooperation

Governing the Commons


Governing the Commons

SmartMobs


SmartMobs

Networks, Crowds, and Markets


Networks, Crowds, and Markets

Development of Social Network Analysis


Development of Social Network Analysis: A Study in the Sociology of Science

Search

Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us
© 2023 Connected Action
AccessPress Parallax by AccessPress Themes
0

Your Cart