The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.
There will be a talk about the ways social network analysis can be applied to social media.
Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.
The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.
There will be a talk about the ways social network analysis can be applied to social media.
Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.
The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.
There will be a talk about the ways social network analysis can be applied to social media.
Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.
The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.
There will be a talk about the ways social network analysis can be applied to social media.
Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.
The Social Media and Web Analytics Innovation conference is taking place on April 29 and 30th in San Francisco.
There will be a talk about the ways social network analysis can be applied to social media.
Using the free and open NodeXL application, it become as easy as making a pie chart to make a network chart and report.
Please join me for a NodeXL meetup on April 23 at 3pm local time in Amsterdam at an event hosted by DTN/NewsConsole.
Location: Prinsengracht 707-3
Bring your SNA, social media, social network, and NodeXL questions along with sample data sets!
Come hear about NodeXL features that make automating network data collection, analysis, visualization and publication simple and easy. Get daily reports on the social networks that matter to you!
I will talk about the upcoming features releasing in NodeXL (autoupdate, new layouts, better importers for Twitter, Facebook, Wikis, and more) and take your requests.
We may have some special guests!
Please RSVP to pascale@dtn.net at DTN.
I am happy to announce a Washington, D.C. NodeXL user group meeting.
April 4th, 2014 at 2pm through 5pm (followed by an informal local dinner).
We will be meeting at:
Many thanks to Maksim Tsvetovat (@maksim2042) for arranging the location.
Bring your SNA, social media, social network, and NodeXL questions along with sample data sets!
Come hear about NodeXL features that make automating network data collection, analysis, visualization and publication simple and easy. Get daily reports on the social networks that matter to you!
I will talk about the upcoming features releasing in NodeXL (auto update, new layouts, better importers for Twitter, Facebook, Wikis, and more) and take your requests.
If you would like to attend please complete this form:
I will present a talk about social media network at the April 1st Federal Big Data Working Group at 6:30pm.
Talk details are on the SemanticCommunity.info site.
The Federal Big Data Working Group supports the Federal Big Data Initiative and the Federal Digital Government Strategy.
See: http://www.meetup.com/Federal-Big-Data-Working-Group/
The talk will focus on the easy to follow steps needed to create social media network maps and reports automatically from services like Twitter, Facebook, YouTube, Flickr, email, blogs, wikis, and the WWW. Here is a sample network map of the term #bigdataprivacy:
The graph represents a network of 248 Twitter users whose recent tweets contained “#bigdataprivacy”, or who were replied to or mentioned in those tweets. The tweets in the network were tweeted over the 6-day, 10-hour, 29-minute period from Tuesday, 25 February 2014 at 14:36 UTC to Tuesday, 04 March 2014 at 01:06 UTC. There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values.
Top 10 Vertices, Ranked by Betweenness Centrality:
@whitehouseostp, @mit, @mit_csail, @steve_lockstep, @aureliepols, @dbarthjones, @digiphile, @stannenb, @djweitzner, @mikaelf
Top URLs in Tweet in Entire Graph:
http://web.mit.edu/bigdata-priv/webcast.html
http://www.commerce.gov/news/secretary-speeches/2014/03/03/us-secretary-commerce-penny-pritzker-delivers-remarks-mit
http://web.mit.edu/bigdata-priv/agenda.html
http://www.whitehouse.gov/blog/2014/02/24/privacy-workshop-explore-big-data-opportunities-challenges
http://www.nytimes.com/glogin?mobile=1&URI=http%3A%2F%2Fmobile.nytimes.com%2F2014%2F03%2F03%2Ftechnology%2Fwhen-start-ups-dont-lock-the-doors.html
http://www.techrepublic.com/article/privacy-concerns-about-data-collection-may-lead-to-dumbing-down-smart-devices/
http://m.technologyreview.com/news/525131/intel-designs-a-safe-meeting-place-for-private-data/
http://thedatamap.org
http://www.foreignaffairs.com/articles/140741/craig-mundie/privacy-pragmatism
http://www.cs.ucdavis.edu/~franklin/ecs289/2010/dwork_2008.pdf
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I will speak at the 2013 PASS Business Analytics Conference in Chicago on April 12, 2013. The event focuses on data discovery, data exploration and visualization, predictive analytics, content management and architecture, collaboration, information strategies, and more. I will speak about social media Data Analytics and Visualization in a presentation titled: Charting Collections of Social Media Connections with NodeXL. |
Learn to make your own network maps of social media at PASSBAC 2013!
The NodeXL team from the Social Media Research Foundation has released a web application that allows users to upload network files and download files other users have uploaded.
The Social Media Research Foundation is dedicated to Open Tools, Open Data, and Open Scholarship.
The NodeXL Graph Gallery on the Web enables the research community to collectively gather and share data sets.
Users of NodeXL will notice a new NodeXL>Data>Export>To Web Gallery menu option which opens this dialog box:
Users will be able to browse the NodeXL Web Gallery for graphs that were recently uploaded:
Users will be able to search for graphs that contain certain keywords:
Users can then get details about the network graph and download those files they would like to investigate.
