These are the connections among the Twitter users who recently tweeted the word #JW11 when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: www.jivesoftware.com/jiveworld

A larger version of the image is here: www.flickr.com/photos/marc_smith/6234653454/sizes/l/in/ph…

Top most between users:
@jivesoftware
@gialyons
@mikefraietta
@cflanagan
@cosmopolitan_lv
@ginorossi
@kristinhersant
@thebrandbuilder
@alanlepo
@mor_trisha

Graph Metric: Value
Graph Type: Directed
Vertices: 345
Unique Edges: 3606
Edges With Duplicates: 2072
Total Edges: 5678
Self-Loops: 632
Connected Components: 11
Single-Vertex Connected Components: 9
Maximum Vertices in a Connected Component: 334
Maximum Edges in a Connected Component: 5659
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.353001
Graph Density: 0.034184361
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

http://ir12.aoir.org/

These are the  connections among the Twitter users who recently tweeted the word AOIR when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: ir12.aoir.org/

Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko

Graph Metric: Value
Graph Type: Directed
Vertices: 98
Unique Edges: 119
Edges With Duplicates: 672
Total Edges: 791
Self-Loops: 153
Connected Components: 40
Single-Vertex Connected Components: 35
Maximum Vertices in a Connected Component: 55
Maximum Edges in a Connected Component: 710
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance: 2.257477
Graph Density: 0.035766884
NodeXL Version: 1.0.1.179

By expanding the query to include #IR12, the conference hashtag, the network expands to include:

Connections among the Twitter users who recently tweeted the word AOIR OR #IR12 when queried on October 11, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko

Graph Metric: Value
Graph Type: Directed
Vertices: 231
Unique Edges: 1984
Edges With Duplicates: 2118
Total Edges: 4102
Self-Loops: 586
Connected Components: 46
Single-Vertex Connected Components: 40
Maximum Vertices in a Connected Component: 181
Maximum Edges in a Connected Component: 4012
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.213887
Graph Density: 0.046320346
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Here is the updated map of connections among people who recently tweeted #occupywallstreet:

These are the connections among the Twitter users who recently tweeted the word OccupyWallStreet when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: occupywallst.org/

A larger version of the image is here: www.flickr.com/photos/marc_smith/6232030871/sizes/l/in/ph…

Top most between users:
@ajenglish
@anonymousirc
@cnbc
@rawstory
@ryannewyork
@mediabistro
@blogdiva
@brentnhunter
@krenner2
@rebuilddream

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3014
Edges With Duplicates: 720
Total Edges: 3734
Self-Loops: 994
Connected Components: 318
Single-Vertex Connected Components: 300
Maximum Vertices in a Connected Component: 664
Maximum Edges in a Connected Component: 3326
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.508133
Graph Density: 0.002524525
NodeXL Version1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Link: www.flickr.com/photos/marc_smith/6225446144/

Each user is scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: occupywallst.org/

A larger version of the image is here: www.flickr.com/photos/marc_smith/6225446144/sizes/l/in/ph…

Top most between users:
@maddow
@motherjones
@aclu
@zerohedge
@mmfa
@spread4freedom
@diggrbiii
@angelsavant
@marychastain
@katiepavlich

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3835
Edges With Duplicates: 916
Total Edges: 4751
Self-Loops: 1109
Connected Components: 311
Single-Vertex Connected Components: 301
Maximum Vertices in a Connected Component: 678
Maximum Edges in a Connected Component: 4327
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.283708
Graph Density: 0.003408408
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

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 Israeli Chapter of the Internet Society.  Their annual meeting is a central event of academics (sociologists, psychologists, business and law) as well as industry participants from sectors including mobile cellular companies and internet service suppliers.

On August 5th and 6th I led a workshop with Martha Russell on social network analysis of social media as part of the Stanford Media X Summer Institute on New Metrics for New Media: Analytics for Social Media and Virtual Worlds this Summer.

New Metrics for New Media:  Analytics for Social Media and Virtual Worlds
Organizers:  Martha Russell, Marc Smith
August 5-6

Social media and virtual worlds offer two important frontiers for measuring earned engagement. In both, audiences are actively engaged as participants. This workshop covered foundational concepts in media measurement, describe new frontiers in measuring audience engagement in social media and virtual worlds, and provided hands-on experience in using new analytical tools.

This session also provided a walk through the basic operation of NodeXL, including generation of social networks from social media data sources like personal e-mail (drawing data from the Windows Desktop Search engine) and the Twitter social network micro-blogging system. Arbitrary edge lists (anything that can be pasted into Excel) can be visualized and analyzed in NodeXL. Attendees were encouraged to bring an edge list of interest. Sample data sets were provided.

Video about the New Media for New Metrics Workshop

Agenda WEDNESDAY, August 5: #124 Wallenberg Hall

08.30 – 09.00 – Welcome, Introductions & Overview

Martha Russell, Director, Media-X, Stanford University
Marc Smith, Internet Sociologist, Connected Action Consulting

Martha spoke about the changing media landscape and the need to measure new media in the mix of media consumption measurements.  She suggests that old measures may not always fit new media and that new media offer new opportunities (and challenges) for measurement.  Martha runs the Media-X program at Stanford that ran the workshop.

09.00 – 10.00 – The MEdia Generation (and others): Trends in Media Multitasking in the US and China

Don E. Schultz, Northwestern University Agora-IMC, Inc, BigResearch

Professor Schultz teaches marketing and communication at Northwestern University.  He runs a series of surveys about media consumption in the US and in China.  The results show people consuming multiple media at the same time, but not in the same mix (China uses mobile more than desktop).

10.30 – 11:30 – Panel: Metrics for Management Decisions

Moderator: Martha Russell, Media X at Stanford University

Richard Rommel, Senior VP Emerging Business, Best Buy
Blaine Baggett, Executive Manager, Office of Communication and Education
Jet Propulsion Laboratory, NASA
Louis-David Mangin, GrinShot
Maury Giles, Founder, Pursuit

Richard Rommel (Best Buy) discussed their Twitter strategy and commercials.  Best Buy now features their employees as a service via twitter to all askers and features that in their TV commercials.

JPL in Pasadena is using the web to push the “science is cool” (and fundable) message to all who will listen.  When NASA lands something on Mars its the JPL that gets the huge traffic spike.  They are opening up conversations between researchers and the public and increasing the surface area for science media.

11:30 – 12:00 – Synergies Between Search and Social Metrics

David A. Shamma, Yahoo Research

Ayman spoke about measuring engagement in a Yahoo Messenger video sharing and chat feature.  He found that chat activity spikes during the credits.  Except in Japan where strings of “wwwwwwwwwwwww” denote laughter and continue through out a shared video session.

Ayman also did a study of Twitter usage during last year’s political debates.  He found the chat did not echo the terms used in the debate.  Chat activity also spiked after the debate.

13:00 – 14:00 – Measuring Social Media & Digital WOM

Michael Wu, Chief Scientist, Lithium

Michael presented the ingredients of the Lithium Community Health Index which (pictured) includes the notion of interactivity (speed to reply).

14:00 – 15:00 – Panel: Metrics for Moderating and Managing Communities

Moderator: Marc Smith, Internet Sociologist, Connected Action Consulting

Sameer Patel, Pretzel Logic
Gail Ann Williams, Director of Communities, Salon.com

Gail and Sameer focused on the ways they directly manage communities in a commercial environment.  Gail tuns the community for Salon’s Table Top and Well social spaces.  She runs fee based spaces that require customer retention (but sometimes wish they could selectively apply customer ejection!).

Sameer consults on the selection and use of enterprise social media.  He focused on the metrics his customers want to see in an internal deployment, focused on usage and connection rates among users.

15:15 – 17:00 – Social Network Analysis Tutorial: Part 1
Concepts, Data, & Tools for Producing the Social Graph

Marc Smith, Internet Sociologist, Connected Action Consulting

I showed the slides previously presented at the Catalyst Conference, this time in a longer form at the workshop: http://www.slideshare.net/Marc_A_Smith/2009-catalyst-conference-social-media-research slides focuse on the use of social network and activity analysis to identify key contributors in social media spaces.

17.00 – 17.30 – Discussion: Navigating the Terms in Social Media Metrics

Moderator: Don Schultz

———————————————–
Agenda THURSDAY, August 6: #124 Wallenberg Hall

08.30 – 09.30 – Patterns of Mobile Media Advertising–Taking 3G Portals as an Example

Chunlin Duan, South China University of Technology Profit

Professor Duan is Dean of the School of Communication at South China University of Technology.  She described mobile device usage in China (huge!) and the major focus on IM, chat, and message boards, along with the dominance of QQ and its virtual goods and currency.

09.00 – 09:30 – Cell Phone Usage in Japan for Social Networking and Advertising

Neil Rubens, University of Electro-Communications, Tokyo

When toddlers have cell phones mobile device penetration is high!  Japan is highly mobile (although on its own island of technology) and using social network services via their devices.

09:30 – 10.30 – Panel: Emerging Metrics for Virtual Worlds & Immersive Environments

Moderator: Greg Nuyens, Qwaq Forums
Gene Yoon, Former CFO, Second Life
Parvati Dev, Innovations in Learning
Henrik Bennetsen, Stanford Humanities Lab

Gene Yoon is the former CFO of Second Life, he spoke about the use of metrics in his business.  He focused on engagement as the behavior he wanted to measure.

Parvarti Dev is a former Stanford Professor using virtual reality social worlds to role play emergency room procedures among nurses and doctors.

11:00 – 12:00 – Trends in Metrics for Self Monitoring

Gary Wolf, Sr. Editor, WIRED

Gary is documenting the emerging world of the “Quantified Self” – people using mobile devices with sensors and networks to collect detailed records of their own behavior and medical vital statistics.  These data sets, in aggregate, may reveal new insights for evidence based medicine, self improvement, and public safety.

13:00 – 15:30 – Social Network Analysis Tutorial: Part 2

Concepts, Data, & Tools for Filtering and Decorating the Social Graph

Marc Smith, Internet Sociologist, Connected Action Consulting

A step-by-step guide to creating, analyzing, and visualizing a social network.

16:00 – 16:30 – Discussion and WrapUp: Gleaning Meaning from Measurements

Moderator: Martha Russell

]]> http://www.connectedaction.net/2009/09/12/recently-stanford-media-x-workshop-new-metrics-for-new-media-analytics-for-social-media-and-virtual-worlds/feed/ 0 http://www.connectedaction.net/2009/05/16/july-2009-stanford-media-x-workshop-new-metrics-for-new-media-analytics-for-social-media-and-virtual-world/?utm_source=rss&utm_medium=rss&utm_campaign=july-2009-stanford-media-x-workshop-new-metrics-for-new-media-analytics-for-social-media-and-virtual-world http://www.connectedaction.net/2009/05/16/july-2009-stanford-media-x-workshop-new-metrics-for-new-media-analytics-for-social-media-and-virtual-world/#comments Sat, 16 May 2009 21:01:38 +0000 Marc Smith http://www.connectedaction.net/?p=994

I will lead a workshop with Martha Russell on social network analysis of social media as part of the Stanford Media X Summer Institute on New Metrics for New Media: Analytics for Social Media and Virtual Worlds this Summer.  I am looking forward to working with the folks at Media X which hosts a range of cutting edge events devoted to exploring the newest trends in technology and society.

It is also worth noting that the traveling exhibit “Places and Spaces” will be displayed through the MEDIA X program at Stanford until December 18th, 2009.  There is a May 18, 5-6:30pm Reception in Wallenberg Hall on the campus.  The show includes an image I worked on with Danyel Fisher and Tony Capone that represents an overview of Usenet newsgroups.

The show includes a variety of information visualizations and maps that illustrate the utility of graphical representations of complex concepts and terrains.  From the Media X site:

“The Places & Spaces exhibit, at Wallenberg Hall has two components. The physical component is available for display and allows for close visual inspection through high-quality prints. It is meant to inspire cross-disciplinary discussion on how best to track and communicate human activity and scientific progress on a global scale. It includes hand-on science maps for children. The online counterpart provides links to a selected series of maps and their makers along with detailed explanations of why these maps work.” [Link]

There will be a reception following the May 18 Seminar that will include Jeff Heer and students, Katy Borner (virtual presence) and other mapmakers of the Places & Spaces exhibit.

I will be speaking with Kate Niederhoffer from Dachis at Web 2.0 Expo Wednesday, April 1st at 10.50 in San Francisco.  We will be speaking about:

Beyond Buzz: On Measuring a Conversation
http://www.web2expo.com/webexsf2009/public/schedule/detail/6273

NodeXL - a sample of user goals and research interests as a Wordle cloud

Thanks to inspiration from Adam Perer, here is a Wordle.net picture of some of feedback text — a rough presentation of the ideas, topics and research goals submitted by a collection of attendees of a recent lecture on NodeXL at Harvard.  A recording of the slides and audio from the talk is available from the Harvard Program on Networked Governance website and also on the Government Innovators Network website.

A copy of the video that does not require registration is available here.

As people registered for the lecture some took the time to share their interests in network analysis and the NodeXL project.  The key themes and topics from these statements focus on studying the social network of various populations of interest including (in no particular order): governments, enterprises, migrants, terrorists, innovators, politicians, corporations, criminals, research literature, sick people and online communities.

Research goals were focused on tasks like:

• Map a complex set of relationships
• Find key people: bridge roles, sinks, sources, etc..
• Find “missing people”
• Measure cohesion of subgroups
• Map diffusion and change overtime
• Find network correlates of the adoption of innovation

This feed back will shape the kinds of features we explore in the NodeXL project.  What are your goals for exploring network data sets?  What questions are you trying to answer?  What kinds of network structures are of greatest interest?  How can NodeXL best support that exploration?

Your comments welcome!