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Contrasting “ashtag” with “ashcloud” Twitter networks with NodeXL

The eruption of Eyjafjallajokull in Iceland has created disruption of air traffic around the world and particularly through Northern Europe. A similar eruption of tweets has followed, focused around a series of hastags including "#ashtag", "#ashcloud", and "#volcano". The #ashtag…

Contrasting "ashtag" with "ashcloud" Twitter networks with NodeXL

Mapping the Twitter networks of #Chirp with NodeXL

The Twitter Chirp conference attracted tweets from many technology leaders and bloggers. Here is a ranked list of the top most “between” people who tweeted the term “chirp” in the last day. A complete social network map, with edge thickness proportional to the number of network connections (follows, replies, mentions) that link the two participants [...]

Mapping the Twitter networks of #CHI2010 with NodeXL

The CHI 2010 conference is well underway in Atlanta this week and lots of people are tweeting the #CHI2010 hash tag. An updated NodeXL map of the connections among people who use the #CHI2010 tag is below: This is the network map of follows, replies, and mentions relationships among Twitter users who mentioned “CHI2010″ as [...]

Ordering smaller components in a graph – a NodeXL feature tip

From this:to this: in just a few clicks. Many network graphs contain disconnected smaller graphs, called "components", within them. Most layout algorithms do a poor job of managing to group each component in a separate space. Instead, often, components are…

Conference: NodeXL and Social Media Networks tutorial at CHI 2010

If you are attending the CHI 2010 conference in Atlanta and are interested in social media network analysis, consider attending this tutorial:

CN03: Introduction to Social Network Analysis
Time: Monday, 12 April 2010, 11:30 to 18:00
Organizers: Marc A. Smith, C.S. Ang, Derek Hansen, Panayiotis Zaphiris
Presenters: Derek Hansen, Panayiotis Zaphiris

Benefits
This course provides an overview of Social Network Analysis (SNA) and demonstrates through theory and practical case studies how it can be used in HCI (especially computer-mediated communication and CSCW) research and practise. This topic is of particular importance due to the popularity of social networking websites (e.g. YouTube, Facebook, MySpace etc.) and social computing. As people increasingly use online communities for social interaction, new methods are needed to study these phenomena. SNA is a valuable contribution to HCI research as it gives an opportunity to rigorously study the complex patterns of online communication.

Social network theory views a network as a group of actors who are connected by a set of relationships. Actors are often people, but can also be nations, organizations, objects etc. Social Network Analysis (SNA) focuses on patterns of relations between these actors. It seeks to describe networks of relations as fully as possible. This includes teasing out the prominent patterns in such networks, tracing the flow of information through them, and discovering what effects these relations and networks have on people and organizations. It can therefore be used to study network patterns of organizations, ideas, and people that are connected via various means in an online environment.