My colleague at the Oxford Internet Institute, Bernie Hogan, is working on tools that collect personal Facebook network data and visualize the connections among your friends. These tools now interoperate with NodeXL through the GraphML XML file format. Here is the…
by chris.corwin - - We have several data import providers (spigots) in NodeXL that query popular sources of social media for information that can be processed into a network graph. User and search term networks from Twitter, YouTube, and flickr…
Last week I made a video with Norm Rose from Travel Tech Consulting about the ways different airlines get talked about in twitter. Norm explores new technologies that impact the travel business and he asked me to create two maps:…
The Annual Meeting of the Israel Internet Association (http://www.isoc.org.il (English)) was held February 22-23 2010. I spoke at this year's meeting: http://www.isoc.org.il/conf2010/agenda.php?lang=en Part 1 Part 2 The previous year's conference website is at: http://www.isoc.org.il/conf2009/program.php The Israel Internet Association is the official…
After speaking at the Israel Internet Association conference February 22, I will speak at IBM Research in Haifa at an event co-sponsored by the University of Haifa Department of Sociology and Anthropology and the M.A. program in Sociology of Technology. My hosts are Professor Gustavo Mesch from the university and Dr. Adam Perer from IBM research.
Wednesday, February 24th, 1 pm
IBM Building
Haifa University
Title: Visualizing collections of social media connections: using social network analysis to assess, evaluate and measure social media engagement
Abstract: Social networks are created whenever people interact. These networks become more visible when interactions take place through social media. Social networks form when people link, reply, comment, edit, tag, and friend one another. Sub-populations are formed whenever people mention the same company, products, event, topic, or personality. Using social network analysis on collections of social media connections reveals important patterns: how are people clustered and grouped, where are the gaps, who plays the roles of bridge, hub, and isolate? In this talk I will display maps of twitter, you tube, flickr, and enterprise email systems and demonstrate several tools that can be used to collect, analyze, map and monitor social media, including the free and open NodeXL (network overview, discovery and exploration) add-in Excel 2007.
Here, for example, is a map of the connections among people who recently mentioned “haifa” in twitter sized by number of followers:
Some photos taken during the trip are available after the jump:
Time for another NodeXL update: sparklines! Sparklines are a nifty and compact way of displaying a line chart in a small area. Setting dynamic filters in NodeXL has been somewhat like rummaging around in the dark: without a way to…