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.
The Data Visualization Summit is taking place in San Jose, April 28 & 29, 2015.
The summit is located at the San Jose Convention Center, 150 West San Carlos Street, San Jose, CA 95113.
There will be a talk about the ways social network analysis can be applied to better understand the shape and structure of social media.
Using the free and open NodeXL, non-programmers can now easily import, analyze, visualize and share reports on social media networks.
RIS News, the leading media organization for retail executives, and Consumer Goods Technology, the leading source for the consumer goods sector, have partnered to launch the 2014 Retail and Consumer Goods Analytics Summit. The conference hashtag is #RCAS2014.
I will speak on September 12th at the event. I present the Closing Keynote from 2:30 – 3:10pm on Friday. My talk is titled:
The Impact of Social Media on Data & Analytics
Speaker: Marc Smith, Director, Social Media Research Foundation
People talk about the products and services the use, love or hate all the time in social media. These conversations can be better understood through perspective of social network analysis. Network theory views the world as a web of connected people. Network analysis builds measures and visualizations of collections of connections to reveal the key people, groups and issues in these conversations. Using social media network maps and reports the confusing landscape of tweets and posts comes into focus. Information visualizations of the virtual crowds of people gathered around every brand, product, event, or service highlights the range of variation in the shape of these crowds. Six different patterns have been identified so far, allowing social media managers to recognize the nature of the brand network they have and the nature of the network they want to have. Network measures are useful as KPIs for tracking not just the size and volume of a social media stream, but also the shape and structure of the pattern of connections. The six patterns: divided, unified, fragmented, clustered, and in and out hub and spoke, are a useful guide to strategic engagement in social media.
risnewsinsights Twitter…
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consumergoods OR cgsm20
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I will speak at the Sam and Irene Black School of Business at Penn State University on Thursday, May 15, 2014.
I will talk about the themes Thinking across Boundaries, Learning by Doing, and Innovating through Collaboration in the context of the work of the Social Media Research Foundation to deliver an end-user friendly, free and open tool for social media network analysis.
The NodeXL project from the Social Media Research Foundation has crossed many boundaries, notably bridging the divide between the social sciences and the computer sciences.
We have learned a great deal as the NodeXL development team has released hundreds of updates to the application, guided by the feedback of our growing user community.
The Social Media Research Foundation team has innovated at multiple levels: organizationally we are a modern, virtual, distributed group of collaborators. Technically, we have focused our project on ease of use and automation rather than scale and sophistication, our users are not programmers. We have implemented many innovative network analysis and visualization techniques because we have been driven by a need to serve a diverse user population. The contributors to the project are themselves from a diverse range of disciplinary backgrounds, making it easier to shape the tool for the broadest audience.
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 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
