
May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

Best Practice in Data Journalism Workshop
PROGRAM
29-30 September 2014
Terrace Lounge, Level 1, Walter Boas Building, Parkville Campus
(Campus map at http://maps.unimelb.edu.au/parkville)
MONDAY 29 SEPTEMBER
9-9.30AM | REGISTRATION AND WELCOME |
9.30-9.45am | WELCOME AND INTRODUCTIONS- DR MARGARET SIMONS AND CARLTON CONNECT |
9.45am-11 | Presentations and Q and A from journalists: Marc Moncrieff and Craig Butt – Fairfax Media; Lisa Cornish – Red Cross (formerly News Corp); Harrison Polites – Business Spectator. |
11-11.30 | MORNING TEA |
11.30-12.30 | Presentations by Journalists (continued): Ed Tadros – Australian Financial Review; Matt Liddy, ABC; Nick Evershed – The Guardian in Australia. |
12.30-1PM | ROUNDTABLE DISCUSSION AND IDENTIFICATION OF COMMON THEMES AND CHALLENGES |
1PM-2PM | LUNCH |
2PM-2.30pm | AURIN – Exploring the potential – Presentation by Professor Richard Sinnott, University of Melbourne. |
2.30-3pm | NodeXL – Exploring the potential – Presentation by Marc Smith, Director, Social Media Research Foundation |
3-3.30pm | AFTERNOON TEA |
3.30PM-5PM | Panel Session – Big Data. What Next? With Craig Thomler (Delib), Professor Paul Jensen (Faculty of Business and Economics, University of Melbourne); Jodie McVernon, (School of Population and Global Health, University of Melbourne), Scott Ewing, (World Internet Project, Swinburne Institute for Social Research.) |
There will be a 3 hour session introducing NodeXL on Tuesday from 2-5pm 30th September at the main Parkville campus of UniMelb. The event is open to the public and is free.
It will be in the Old Arts Building Lecture Theatre B.
The main session will run from 2-4pm and there will be an additional hour for those that want to stop on for further training, finishing at 5pm
If you want to use NodeXL in the session, you will need a Windows laptop, and the Windows version of Excel (2007/2010/2013).
You can download NodeXL in advance from: http://nodexl.codeplex.com/.
Map and Building:
http://maps.unimelb.edu.au/parkville/building/149#.VCTinmS1Zlo
Download instructions:
Upcoming talks, workshops and training for social media network analysis and NodeXL.
March 16, 2014: Predictive Analytics World, San Francisco.
Track 1: Social Media Analysis Think Link! Network Insights with No Programming Skills
March 18: Consortium for Service Innovation Annual Member Summit
April 2 – April 4, 2014, UCDC Center, Washington DC, USA, 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)
April 24-24, 2014 The Next Web, Amsterdam
May 1-2, 2014: The Social Media & Web Analytics Summit
May 8th, 2014: 2014 SQL PASS Business Analytics Conference in San Jose.
May 19-23, 2014: International Conference on Collaboration Technologies and Systems, Minneapolis, Minnesota
June 27-29 2014: Networks in the Global World 2014. Bridging Theory and Methods: American, European and Russian Studies
I spoke at TheNextWeb 2014 in Amsterdam on April 25th.
Here is a map of the connections among the people who recently tweeted the terms: tnwconference OR #TNWEurope OR thenextweb
This is a highly fragmented “Brand” network pattern with several prominent Broadcast hub and spoke structures centered around the most central participants: @thenextweb, @ow, @epro, @nicolasfordham, @gcouros, @malchord, @martinsfp, @plagia3, @k5launch, @taxion2.
I spoke about how anyone who can make a pie chart can now make these network maps and reports.
Interested in a map for a topic important to you? Request a free sample NodeXL social media network map and report.
I will present a tutorial on social media network analysis at the 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)
April 2 – April 4, 2014
UCDC Center
Washington DC, USA
The 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP14) is a multidisciplinary conference with a single paper track and poster session. SBP invites a small number of high quality tutorials and nationally recognized keynote speakers.
The SBP conference provides a forum for researchers and practitioners from academia, industry, and government agencies to exchange ideas on current challenges in social computing, behavioral modeling and prediction, and on state-of-the-art methods and best practices being adopted to tackle these challenges. Interactive events at the conference are designed to promote cross-disciplinary contact.
Social Computing harnesses the power of computational methods to study social behavior within a social context. Behavioral Cultural modeling refers to representing behavior and culture in the abstract, and is a convenient and powerful way to conduct virtual experiments and scenario analysis. Both social computing and behavioral cultural modeling are techniques designed to achieve a better understanding of complex behaviors, patterns, and associated outcomes of interest. Moreover, these approaches are inherently interdisciplinary; subsystems and system components exist at multiple levels of analysis (i.e., “cells to societies”) and across multiple disciplines, from engineering and the computational sciences to the social and health sciences.
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
Coverage of our report on the six basic types of social media network structures created with the Pew Internet Research Center has been extensive. Here is a round up of the articles we have found about the study.
Lee Rainie, director of the Pew Internet Research Center was interviewed by Bob Garfield on OnTheMedia.
Washington Post: The six types of conversations on Twitter
San Francisco Chronicle: The six ways we interact on Twitter
RADIO WVXU Cincinnati – Ann Thompson
Al Jazeera: Study maps Twitter’s information ecosystem
PBS NewsHour: Study uncovers six basic types of Twitter conversations
Des Moines Register: Twitter talk fits into 6 patterns, study finds
USAToday: Twitter talk fits into 6 patterns, study finds
NBC: Liberals, Conservatives Tweet in Partisan Bubbles, Study Says
CNET: Red state, blue state? On Twitter, never the twain shall meet
TIME: Who Are TV’s Biggest Fans? New Research Names Twitter Users With the Most Influence
Quartz: Turns out Twitter is even more politically polarized than you thought
Forbes: These Charts Show Why Political Debate On Twitter Is Pointless
Vator: Pew report: how we communicate on Twitter
Global News Canada: Study reveals six different types of conversations on Twitter
Live Science: The 6 types of Twitter conversations revealed
Seattle PI: The six ways we interact on Twitter
Associated Press: Pew maps Twitter chatter in new type of study, finds 6 types of conversations
Chicago Tribune: The 5 cliques of Twitter
Mashable: Your Twitter Conversations Fall Into One of These Six Categories
NPR: Study: Conservatives And Liberals Rarely Debate On Twitter
Daily Mail: What type of tweeter are you? Researchers reveal there are just SIX types of tweet
The Diamond Back: Professor helps map social media connections
Your Social Media Conversation Is Like A Topographic Map
University of Maryland: New Map of Twitterverse finds 6 types of networks
This week features hosts Randy Farmer (@frandallfarmer) and Scott Moore (@scottmoore) interviewing danah boyd (@zephoria) about her book It’s Complicated: the social lives of networked teens, coming out February 24th and available for preorder now.
Topics in the podcast interview include:
Subscribe to the Social Media Podcast:
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The INSNA Sunbelt social network conference will be held February 18-23 at the TradeWinds Island Resort on the island of St. Pete Beach.
There will be NodeXL related talks at the conference.
NodeXL: Network Analysis Made Simple
Tuesday February 18, 8:00am – 11:00am & 11:30am – 2:30pm
Marc Smith, Social Media Research Foundation
CITRUS Ballroom
Twitter Conversations as Network Structures: Typology and Measurements
Saturday February 22,
Itai Himelboim, Marc Smith, Ben Shneiderman, Lee Rainie
The conference schedule is available.
I hope to see you at the conference!
I will present at the 2014 Strata Conference in Santa Clara, CA on February 11, 2013.
Network Science Made Simple: SNA for pie chart makers
I will also hold Office Hours at the event:
Office Hour with Marc Smith (Team NodeXL)
Above is a map of the connections among the people who recently tweeted the term “strataconf” over the 7-day, 19-hour, 38-minute period from Sunday, 26 January 2014 at 21:53 UTC to Monday, 03 February 2014 at 17:32 UTC. The key people in the network at this point are:
You can make these types of maps with just a few clicks using NodeXL.