The event gathered 50 speakers from around the world and more than 300 participants to focus on the role of digital and social technologies for civic needs. The summit focused on bringing people from many communities into a discussion of how technology can be used for:
“…enabling a better society and an empowered community? How can various stakeholders, including Government, Private Sector and Civil Society gain more momentum for their core mandates by leveraging the use of digital technology enabled solutions? Can Digital Technology create a platform for better collaboration and cooperation amongst various stakeholders?”
I spoke about the role social network analysis can play in understanding the emerging world of social media and computer mediated collective action.
My host is conference organizer Dr. Han Woo Park, director or the Webometrics Lab at Yeungnam University
After the conference I will travel to visit with other research groups in Korea focused on the study of social media. I will be traveling with a colleague, Dr. Jana Diesner, professor of information science at the University of Illinois at Urbana-Champaign.
NodeXL team member Dr. Cody Dunne recenjtly presented these slides at the 2013 Boston DataSwap on Network Visualization in NodeXL
http://slidesha.re/1a5tbCY
The event will start Friday at 11:00AM at the BELO CENTER FOR NEW MEDIA. Bring data, questions and a copy of NodeXL for hands-on assistance.
The workshop will focus on the application of social network analysis to social media and the content exchanged through it.
The graph represents a network of 780 Twitter users whose recent tweets contained “@utaustin”, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 30 August 2013 at 18:22 UTC. The tweets in the network were tweeted over the 2-day, 3-hour, 55-minute period from Wednesday, 28 August 2013 at 14:25 UTC to Friday, 30 August 2013 at 18:20 UTC.
Hello! Each Thursday at 10AM to noon (Pacific Time), I will be taking questions and providing support to NodeXL users in a Google Hangout. Join me for a Q&A about NodeXL, SNA, Social Media, Networks, Mapping, Visualization and Analytics.
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.
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.
The result is a simplification of the network visualization, removing clutter to reveal the core structural properties of interest.
A 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.
NodeXL implements network motif simplification
The feature allows users to select the types of motifs that should be recognized and collapsed:
SF Online Community MeetUp is the free monthly gathering of online community managers, enthusiasts, and innovators to meet and discuss tools and strategies for building and managing effective communities.
During our March 26 Meetup we’re happy to welcome Marc A. Smith, Chief Social Scientist at Connected Action Consulting Group for his talk, “Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL.” The talk will explore how the Social Media Research Foundation, an organization formed to develop open tools and data sets and to foster scholarship related to social media, is using NodeXL to create social network maps. Learn how you can use this free and open tool to map public social media conversations happening among your online community across social networks. Find out how NodeXL can augment your existing community management practices to identify key influencers in your community, discover relationships and strategic hashtags, and more.
I willspeakat the 2013PASS Business Analytics Conferencein Chicago on April 12, 2013. The event focuses on data discovery, data exploration and visualization, predictive analytics, content management and architecture, collaboration, information strategies, and more. I will speak about social mediaData Analytics and Visualization in a presentation titled: Charting Collections of Social Media Connections with NodeXL.
This is a sample NodeXL graph that represents a network of 106 Twitter users whose recent tweets contained “passbac”. The network was obtained on Wednesday, 30 January 2013 at 01:09 UTC. There is an edge for each follows relationship. There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”. The tweets were made over the 7-day, 5-hour, 32-minute period from Tuesday, 22 January 2013 at 17:40 UTC to Tuesday, 29 January 2013 at 23:12 UTC.
Learn to make your own network maps of social media at PASSBAC 2013!
When a particular node in a network is of special interest it can be useful to create a network visualization in which it is located at the center of concentric rings of vertices.
NodeXL supports a “Polar” layout in which each vertex has two values that govern its location: distance from center (“Vertex Polar R”) and the angle around the clock (“Vertex Polar Angle”).
Using a random network, we added two columns to the Vertices worksheet that we called: Ring (or “Vertex Polar R”) and Rotation (or “Vertex Polar Angle”). We then assigned values for the “Ring” and the “Rotation” for each Vertex:
These values can then be mapped to the location for each Vertex using the NodeXL Autofill columns feature:
When these values are applied to the network visualization and the layout is set to “Polar” the visualization repositions each vertex into a position around a ring. The values are set by mapping Vertex Polar R to “Ring” and Vertex Polar Angle to “Rotation” and then selecting “Autofill”. The result is a single ring plotted around a core:
To see this more clearly, I built a larger random network with 100 vertices and added two more “rings”. The resulting image looks like this:
The Association for Education in Journalism and Mass Communication(AEJMC) is a nonprofit, educational association of journalism and mass communication educators, students and media professionals. The Association’s mission is to promote the highest possible standards for journalism and mass communication education, to cultivate the widest possible range of communication research, to encourage the implementation of a multi-cultural society in the classroom and curriculum, and to defend and maintain freedom of communication in an effort to achieve better professional practice and a better informed public.
Using NodeXL for Social Network Analysis
— 2 pm to 5 pm Presented by Communication Theory and Methodology Division This pre-conference workshop examines social network analysis. Social network analysis can be used to examine message boards, blogs, and friend networks (amongmany other phenomena). Participants will learn to use the NodeXL program to conduct a network analysis.
Dr. Cody Dunne at CHI 2013 (Photo Credit: Ben Shneiderman)
