The Second Workshop on Information in Networks September 24-25, 2010, New York City Sponsored in part by the Initiative on Information in Networks Organizers: Sinan Aral, Foster Provost, Arun Sundararajan The second Workshop on Information in Networks (WIN10) will be…
The book Analyzing social media networks with NodeXL: Insights from a connected world has recently published from Morgan-Kaufman. It is nice to see the advertisement for the book running in the current edition of Interactions Magazine from the ACM. Thanks…
The book Analyzing Social Media Networks with NodeXL: Insights from a connected world is now available [Amazon] from Morgan-Kaufman. Co-authored by Professor Derek Hansen (College of Information Studies) and Professor Ben Shneiderman (Computer Science/Human Computer Interaction Lab) from the University of Maryland and Marc Smith from Connected Action, the book is a introduction and guide to the application of social network analysis to social media. The introductory chapters introduce the history and concepts of social network analysis an the varieties of social media, highlighting the presence of a common data structure, the network, in otherwise diverse social media systems including email, Twitter, Facebook, the WWW, Wikis, Blogs, flickr, an YouTube. The central section of the book reviews a step-by-step guide to using the key features of NodeXL, the free and open social media network analysis add-in for Excel 2007 and 2010. Readers can move from simple hand entered networks of a few nodes up to complex graphs extracted from a variety of social media services. The remainder of the book are focused chapters dedicated to analyzing the networks found within a specific social media service. These chapters were contributed by leading social media researchers and illustrate the insights that can be extracted from the otherwise disorganized stream of messages, tweets, posts, comments, links, likes, tags, friends, follows, mentions, replies and ratings. A recent article about the book can be found on the Morgan-Kaufmann website.
In many cases I look at a network graph and apply a series of operations to transform it into a more presentable form. For example, I often calculate graph metrics, use Autofill columns to map data to display attributes like size, color, or shape, create clusters, sub-graph images, and then select the Harel-Koren layout and [...]
Clusters are now groups in NodeXL. Recently, the NodeXL team has been focused on a set of new features related to grouping sets of vertices together. In the previous version we released a feature that allowed all sorts of groupings to be recorded in the worksheet. What’s new is that the three clustering algorithms we [...]
+ This is a milestone for NodeXL! Prof. Robert Ackland from the Australian Demographic & Social Research Institute (ADSRI) at the Australian National University has created a data provider for NodeXL based on the VOSON (Virtual Observatory for the Study of Online Networks) Project. With the VOSON Data Provider Plugin for NodeXL, you can now access [...]