Lee Rainie, director of the Pew Internet Research Center was interviewed by Bob Garfield on OnTheMedia this week about the recently released report on mapping Twitter topic networks. The report found six distinct patterns of social media networks in Twitter: divided, unified, fragmented, clustered, and in and out hub and spoke patterns. They discuss the prospects for overcoming polarization in social media and the hopeful signs that many other forms of social network structures exist in addition to the divided network pattern.
April 1, 2014 – NodeXL SNA of social media talk at Federal Big Data Working Group
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.
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:
RADIO WVXU Cincinnati – Ann Thompson How millions of tweets boil down to six types of conversations
RADIO WVXU Cincinnati – Ann Thompson interviews Marc Smith about the recent publication of a report on social media networks in Twitter co-authored with the Pew Internet Research Center.
“How millions of tweets boil down to six types of conversations“
Social media network maps and reports covered in the press
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
PC Magazine: Which Type of Twitter Conversationalist Are You? In a recent report, Pew Researchers explain the six regularly observed types of conversation on Twitter
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
Pew Internet and Social Media Research Foundation Report: Six kinds of social media networks in Twitter
Working together, the Pew Internet and American Life Project and the Social Media Research Foundation has published a report on the variations in social media crowd structures documented by network analysis and visualization of Twitter. The report is titled:
Mapping Twitter Topic Networks:
From Polarized Crowds to Community Clusters
The paper documents the distinct patterns of connection that emerge when people talk to one another using social media services like Twitter. The paper includes six network visualizations that clearly demonstrate the diverse ways people connect to people when using online tools.
The report was produced by Marc Smith from the Social Media Research Foundation, Lee Rainie from the Pew Research Center’s Internet & American Life Project, Itai Himelboim professor of communications at the University of Georgia, and Ben Shneiderman professor of computer science from the University of Maryland.