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

Image

Radio: OnTheMedia – Twitter Cartography – with Lee Rainie from Pew Internet

15MarMay 7, 2015 By Marc Smith

20140314-OnTheMedia-Twitter Cartography-Lee Rainie

Lee Rainie, director of the Pew Internet Research Center was interviewed by Bob Garfield on OnTheMedia this week about the recently released report on mapping Twitter topic networks.  The report found six distinct patterns of social media networks in Twitter: divided, unified, fragmented, clustered, and in and out hub and spoke patterns. They discuss the prospects for overcoming polarization in social media and the hopeful signs that many other forms of social network structures exist in addition to the divided network pattern.

http://www.connectedaction.net/wp-content/uploads/2014/03/20140314-OnTheMedia-Twitter-Cartography-with-Lee-Rainie.mp3
Posted in 2014, All posts, Measuring social media, NodeXL, Pew Internet, Presentation, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Visualization Tagged 2014, Audio, Chart, graph, Image, Interview, Lee Rainie, Map, March, network, NPR, OnTheMedia, Pew, Pew Internet, Podcast, Radio, Research, SNA, Social Media, Twitter

Zoom.it – displaying zoomable Twitter network images of the terms “FOCAS11″ or “Aspen Institute”

08AugMay 7, 2015 By Marc Smith

Here is a nice way to display high resolution network maps: zoom.it!

This is a map of the connections among the people who tweeted the terms “FOCAS11” or “Aspen Institute” on August 2, 2011.

Connections among the Twitter users who recently tweeted the word Aspeninstitute OR FOCAS11 when queried on August 2, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: www.aspeninstitute.org/policy-work/communications-society…

Layout using the “Group Layout” composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

A larger version of the image is here: www.flickr.com/photos/marc_smith/6001893675/sizes/o/

Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality

Top most between users:
@aspeninstitute
@lancearmstrong
@emptywheel
@knightfdn
@pkedrosky
@bostonreview
@josefjohann
@kgosztola
@utknightcenter
@sowers

Graph Metric: Value
Graph Type: Directed
Vertices: 324
Unique Edges: 649
Edges With Duplicates: 743
Total Edges: 1392
Self-Loops: 339
Connected Components: 81
Single-Vertex Connected Components: 76
Maximum Vertices in a Connected Component: 240
Maximum Edges in a Connected Component: 1284
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 2.67739
Graph Density: 0.007023277
NodeXL Version: 1.0.1.173

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

NodeXL is free and open and available from www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Posted in All posts, Measuring social media, Microsoft, NodeXL, Social Interaction, Social Media, Social network, Social Network Analysis, Social Theories and concepts, Visualization Tagged Aspen Institute, FOCAS11, graph, Image, Map, network, NodeXL, SMRF, Social Media, Social Media Research Foundation, Twitter, Visualization, Zoom.it

NodeXL (v.166) Keyboard Shortcuts

23AprMay 7, 2015 By Marc Smith

NodeXL now (v.166) offers users a set of keyboard shortcuts that can speed up your routine network layout tasks.

After you click in the graph pane, a number of keyboard shortcuts are now available for functions that had previously been available in the visualization pane’s right-click menu. Now, you can press:

Ctrl+A to select all vertices and edges
Ctrl+V
to select all vertices
Ctrl+E
to select all edges
Ctrl+D
to deselect everything
Ctrl+P
to edit the properties of the selected vertices
Ctrl+C
to save the graph image to the Windows clipboard
Ctrl+I
to save the graph image to a file
Arrow key
to move the selected vertices a small distance
Shift+arrow key
to move the selected vertices a large distance.

(If you forget a shortcut, most of them are listed in the graph pane’s right-click menu.)

If you have any suggestions for other frequent tasks that could be accelerated with a keyboard command, please contact us on the NodeXL discussion board or here in the comments.

(v.166)
Posted in All posts, Foundation, NodeXL, SMRF, Social Media Research Foundation, User interface Tagged 2011, April, Command, CTRL+, Edge, Feature, graph, Image, keyboard, Lay Out, NodeXL, Pane, shortcuts, SMRF, SMRFoundation, Social Media Research Foundation, update, v166, Version, Vertex

A collection of NodeXL images on flickr: How many kinds of networks do you see?

08OctMay 7, 2015 By Marc Smith

20101006-NodeXL-Twitter-MWA2010-top between selected

I am coming to understand what is interesting in any particular network visualization by looking at many network visualizations.

Using NodeXL, I have made several maps of  social media networks of people talking about several topics of interest from current events to conferences I attend.  You can find a collection of them on flickr.

I look at these images and look for differences in the number of big clusters: some images have a “double yolk” – that I propose is a necessary (but not necessarily sufficient) condition of defining a topic to be “controversial”.  These two cluster networks have two well defined populations who lack much if any connection across the divide to the “other” side.

Some networks are highly populated but sparse, these are often the networks that form around brands where a central account tweets and is retweeted by many.  But these many lack much connection to one another.  So these brands form broadcast networks, not communities.

Some networks are dense single clusters with few if any “isolates”.  Isolates are people who say a term, and thus appear in the graph, but have no connections (follows, replies, ore mentions) to anyone else in the graph (at least as observed and reported by twitter at that time).  These dense clusters without isolates are topics where everyone is in-group.  Examples, like “scrm”, are technical and business terms that identify medium sized populations with high levels of density.

Have a look and see what patterns you can find.

[flickrset id=”72157622437066929″ thumbnail=”square”]

Posted in All posts, Conference, Connected Action, Foundation, Measuring social media, Microsoft, NodeXL, SMRF, Social network, Social Network Analysis, Social Theories and concepts, Visualization Tagged 2010, Chart, flickr, graph, Image, Map, Media, network, NodeXL, SMRF, SMRFoundation, social, Social Media Research Foundation, Twitter, Visualization

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

March 2023
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728293031  
« 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