Mapping the Twitter networks of #CHI2010 with NodeXL
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…
How do airline twitter network maps compare? United v. Delta Airlines mapped in NodeXL
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:…
Getting Edgy with NodeXL (v.1.0.1.120): Variable line types for ties
Not all ties are the same. Many networks are collections of multiplex relationships: multiple types of ties link the entities in the graph. NodeXL now (v.1.0.1.120) supports edge styles so that links can have color, width, and style to distinguish…
University of Haifa and IBM Research talk on Social Media Networks, February 24, 2010
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:


