Social Network Analysis and Visualisation for #RDAPlenary 3 | Digital Humanities & Journalism Twitter is a great source of information as well as a fantastic communication tool on specific event. In our – academic – world conferences are one of the most commonly occurring events, where a significant degree of communication between participants now happen on Twitter. Last week Dublin was hosting the Research Data Alliance Plenary 3 with over 400 participants. In this blog post I take you step by step through what I did for (1) computing top tweeters and retweeters, and (2) analysing and visualising the #RDAPlenary social network. Tools used: Twitter: You need a Twitter accountScraperWiki: You need a ScraperWiki accountMS Excel – used only for top tweeter identification and not necessary for social network analysisOpenRefineGephi Getting #RDAPlenary tweets The first step in this journey here is to download tweets from Twitter. There are various ways to collect tweets. 1. Create a new dataset in ScraperWiki 3. Search for tweets in ScraperWiki 4. Search for #rdaplenary 5. 6. 1. 2. 3. 4.
UCINET Software UCINET 6 for Windows is a software package for the analysis of social network data. It was developed by Lin Freeman, Martin Everett and Steve Borgatti. It comes with the NetDraw network visualization tool. If you use the software, please cite it. nsa-observer Social Network Analysis & an Introduction to Tools Learn how to use Gephi Welcome to Gephi! Gephi is an open-source software for visualizing and analysing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. You can use it to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs. Getting Started New to Gephi? Quick Start Guide Supported Graph File Formats Official Tutorials Gephi is really easy to handle if you learn the basics. Popular Tutorials by the Community: Various Tutorials in Video: Non-English Tutorials: In French: In Spanish: In Chinese: 介绍 Gephi 的各项主要操作方法。 Datasets Let's download and try some datasets available on the wiki, like C.elegans brain network or the web mapping study EuroSiS for the European Union. Practical cases A Twitter tag, #madewithgephi, has been adopted to tell when Gephi was used. Facebook group Many experienced users can provide help on this group. Forum New users are welcome to post questions at the Gephi Support Forums. Wiki Papers Roadmap History
S Routines for Social Network Analysis in the R Environment Most of which involve social network analysis, though a wee bit 'o other stuff is available as well.... Introduction and Caveats This page serves, as one might expect, to allow other researchers to access some of the data analysis tools I've developed in the S language. The implementation of S used here is that of the R Statistical Computing Environment , rather than the common alternative of S-PLUS ; the intrepid could doubtless port these routines from one flavor of the language to the other, however. Caveats: This software is provided on an unsupported, as-is basis, under the terms of the GNU Public License . Getting and Using R The R statistical computing environment is distributed under the GNU Public License , and can be freely obtained either as source or as precompiled binaries for a wide range of platforms. The Statnet Project Most of the material contained here is now part of the Statnet Project , a collaborative effort to develop Free Software tools for network analysis.
Mosh: the mobile shell Networks and Structural Change “Ultimately if we are to avoid failure in the most critical work of this century, the deepest reaches of our beings must be brought to bear in honestly reevaluating and shifting the most basic structures of our society.” - john a. powell The following is a textual recapturing of a Pecha Kucha-like presentation that I gave at an ARNOVA Pre-Conference Session in Hartford, CT two weeks ago. This was part of a 3-hour interactive conversation, co-designed and facilitated with Dr. At the Interaction Institute for Social Change, we are in agreement with Professor john a. powell when he points to the need to consider and make fundamental structural changes in our country and communities for the causes of greater social justice and sustainability. If we think of structure as being manifest in social processes and relationships, we can come to see how taking a network approach to change is not simply a means to an end, a “so that” if you will, but an embodiment of change. May it be so.