Connected Action
Menu
  • Services
    • Buy a social media network map and report
    • Training
    • Conferences
    • Data Reporting
    • Log in or Join us
    • Customize NodeXL
    • NodeXL
    • Marc Smith
    • About Us
  • Buy maps
    • Twitter Search Network Map and Report
    • Graph Server Twitter Search Network Map and Report
    • Other products and services
  • Sample maps
  • Blog
    • Books
    • NodeXL
    • Events
  • Newsletter
  • Videos
  • Contact
  • Log In

Information Visualization

April 28-29, 2015: Innovation Enterprise #DataViz15: Talk about mapping social media networks

04FebMay 7, 2015 By Marc Smith

Data Visualization Innovation Summit

April 28 & 29, San Jose, 2015

Data in. Decisions Out

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.

 

Posted in 2015, All posts, Conference, Connected Action, Foundation, Measuring social media, NodeXL, Presentation, Research, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Talks, Visualization, Workshop Tagged #dataviz15, 2015, Data, Information Visualization, Innovation Enterprise, network, SNA, Visualization

June 27-29 2014: Networks in the Global World 2014, St Petersburg, Russia

08JunMay 7, 2015 By Marc Smith

2014-NETGLOW_logo

NetGloW ’14: Bridging Theory and Method: American, European, and Russian Studies

June 27-29, St Petersburg, Russia

I will remotely participate in the conference “Networks in the Global World 2014. Bridging Theory and Methods: American, European and Russian Studies” taking place in St Petersburg, Russia, June 27-29 2014. The 2 day, single-track conference will also have pre-conference workshops including a day devoted to using the NodeXL social media network analysis application. The primary organizing institution and host is the Centre for German and European Studies, Bielefeld University and the St Petersburg State University.

This will be the 2nd Networks in the Global World conference (for information on the 1st one held in 2012 see http://www.ngw.spbu.ru). This conference series brings together researchers exploring cutting edge networks research from around the globe. In 2014 the focus is on linking theory and methods that integrate information, communication, semantic and cultural networks.

The primary goal of the NetGloW conference series is to bring together networks researchers from around the globe, to unite the efforts of various scientific disciplines in response to the key challenges faced by network studies today, and to exchange local research results – thus allowing an analysis of global processes. It is also crucial for us to support junior researchers’ orientation in the complex landscape of network science, and to encourage applications of network analysis by practitioners.

The idea of the 2014 event is to discuss the key current issues and problems of linking theoretical and methodological developments in network analysis.

The structure of the conference: June 27th – workshops and seminar for practitioners; June 28th & 29th – presentations.

Confirmed invited speakers:

  • Jana Diesner, University of Illinois at Urbana-Champaign, USA
  • Loet Leydesdorff, University of Amsterdam, Netherlands
  • Tom Valente, University of Southern California, USA
  • Dimitris Christopoulos, MODUL University Vienna, Austria
  • Mario Diani, University of Trento, Italy
  • Peter Groenewegen, VU University Amsterdam, Netherlands
  • Wouter de Nooy, University of Amsterdam, Netherlands
  • Johanne Saint-Charles, University of Quebec at Montreal, Canada
  • Marc Smith, Connected Action Consulting Group, USA

The sessions of the conference will include the following:

  • Networks in Science, Technology, and Innovation: Traditional Approaches and Operationalization of New Theories
  • Words and Networks
  • Network Perspectives on Knowledge, Communication and Culture
  • Making Sense of Big Network Data: Testing Hypotheses on New Data
  • Social Movements and Collective Action as the Network Phenomena
  • Network Analysis of Political and Policy-making Domains

The conference will host workshops on the following network analysis software: ConText, Pajek, NodeXL, UCINet, RSiena.

The conference will include seminar Network analysis: How can it be used by globally operating practitioners?

Host: Center for German and European Studies (St. Petersburg State University – Bielefeld University).

Working language: English.

Abstracts (200 words) will be published as a part of conference programme. Full papers (2500 words) should be submitted prior to the event. Selected full papers will be published in peer-reviewed journal(s).

Free accommodation will be provided for MA and PhD students who submitted the best abstracts.

Fee: Participation in the conference is free of charge.

Further information about the conference and registration form can be found at www.ngw.spbu.ru or requested via e-mail: netglow@spbu.ru.

2013-Logo-Higher School of Economics

2013-Logo-Centre for German and European Studies

Posted in 2014, All posts, Conference, Foundation, Measuring social media, NodeXL, Presentation, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, University, Visualization, Workshop Tagged 2014, DataViz, Higher School of Economics, Information Visualization, NodeXL, Russia, Social Media, Social Networks, St. Petersburg, Training, workshop

Social media network maps and reports covered in the press

05MarMay 7, 2015 By Marc Smith

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.

20140314-OnTheMedia-Twitter Cartography-Lee Rainie

Lee Rainie, director of the Pew Internet Research Center was interviewed by Bob Garfield on OnTheMedia.
http://www.connectedaction.net/wp-content/uploads/2014/03/20140314-OnTheMedia-Twitter-Cartography-with-Lee-Rainie.mp3


20140220-WaPo-Pew-SMRF-6 Kinds of Twitter networks

Washington Post: The six types of conversations on Twitter


20140220-SFGate-Pew-SMRF-6 Kinds of Twitter networks

San Francisco Chronicle: The six ways we interact on Twitter


20140305-WVXU-Cincinnati-Pew-SMRF-6 Kinds of Twitter networks

http://www.connectedaction.net/wp-content/uploads/2014/03/20140305-WVXU-focus_PEW-SMRF-twitter_study-141.mp3

RADIO WVXU Cincinnati – Ann Thompson


20140228-MyFoxNY-Pew-SMRF-6 Kinds of Twitter networks

Fox News New York

 


20140220-AJAM-Pew-SMRF-6 Kinds of Twitter networks

Al Jazeera: Study maps Twitter’s information ecosystem

 


20140220-PBS Newshour Rundown-Pew-SMRF-6 Kinds of Twitter networks

PBS NewsHour: Study uncovers six basic types of Twitter conversations

 


20140220-DesMoines Register-Pew-SMRF-6 Kinds of Twitter networks

Des Moines Register: Twitter talk fits into 6 patterns, study finds

 


20140228-USAToday-Pew-SMRF-6 Kinds of Twitter networks

USAToday: Twitter talk fits into 6 patterns, study finds

 


20140220-NBCNews-Pew-SMRF-6 Kinds of Twitter networks

NBC: Liberals, Conservatives Tweet in Partisan Bubbles, Study Says

 


20140220-CNet-Pew-SMRF-6 Kinds of Twitter networks

CNET: Red state, blue state? On Twitter, never the twain shall meet

 


20140220-Time Entertainment-Pew-SMRF-6 Kinds of Twitter networks

TIME: Who Are TV’s Biggest Fans? New Research Names Twitter Users With the Most Influence

 


20140220-Quartz-Pew-SMRF-6 Kinds of Twitter networks

Quartz: Turns out Twitter is even more politically polarized than you thought

 


20140220-Forbes-Pew-SMRF-6 Kinds of Twitter networks

Forbes: These Charts Show Why Political Debate On Twitter Is Pointless

 


20140220-VatorNews-Pew-SMRF-6 Kinds of Twitter networks

Vator: Pew report: how we communicate on Twitter

 


20140220-GlobalNews CA-Pew-SMRF-6 Kinds of Twitter networks

Global News Canada: Study reveals six different types of conversations on Twitter

 


20140220-LiveScience-Pew-SMRF-6 Kinds of Twitter networks

Live Science: The 6 types of Twitter conversations revealed

 


20140220-SeattlePI-Pew-SMRF-6 Kinds of Twitter networks

Seattle PI: The six ways we interact on Twitter

 


20140220-AP-Pew-SMRF-6 Kinds of Twitter networks

Associated Press: Pew maps Twitter chatter in new type of study, finds 6 types of conversations

 


20140220-Redeye-Pew-SMRF-6 Kinds of Twitter networks

Chicago Tribune: The 5 cliques of Twitter

 


20140220-Mashable-Pew-SMRF-6 Kinds of Twitter networks

Mashable: Your Twitter Conversations Fall Into One of These Six Categories

 


20140220-PCMag-Pew-SMRF-6 Kinds of Twitter networks

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

 


20140220-NPR-Pew-SMRF-6 Kinds of Twitter networks

NPR: Study: Conservatives And Liberals Rarely Debate On Twitter


20140220-DailyMail-Pew-SMRF-6 Kinds of Twitter networks

Daily Mail: What type of tweeter are you? Researchers reveal there are just SIX types of tweet

 


20140220-Diamondback-UMD-Pew-SMRF-6 Kinds of Twitter networks

The Diamond Back: Professor helps map social media connections

 


20140228-Forbes-Pew-SMRF-6 Kinds of Twitter networks

Your Social Media Conversation Is Like A Topographic Map

 


20140228-MediaPost-Pew-SMRF-6 Kinds of Twitter networks

Media Post

 


20140228-Politico-Pew-SMRF-6 Kinds of Twitter networks

Politico: How Twitter Works

 


20140228-UMD-Pew-SMRF-6 Kinds of Twitter networks

University of Maryland: New Map of Twitterverse finds 6 types of networks

 


20140228-UGA-Pew-SMRF-6 Kinds of Twitter networks

University of Georgia


2014-GovTech-6 Kinds of social media networks

GovTech


20140228-WiredIT-Pew-SMRF-6 Kinds of Twitter networks

Wired.IT


Posted in 2014, All posts, Foundation, NodeXL, Papers, Pew Internet, Research, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Sociology, Twitter Tagged 2014, 6 Types, Chart, graph, Information Visualization, Infovis, Map, network, NodeXL, Pew, Report, SMRF, Social Media, Social network, Social Structure, Twitter

Contrasting teaparty and occupywallstreet twitter networks

16NovMay 7, 2015 By Marc Smith

Both teaparty and occupywallstreet are actively discussed in twitter.

This map of connections among people who tweeted Teaparty starts on 11/15/2011 14:22 UTC and ends on 11/15/2011 17:23, a total of 3 hours and 1 minute of traffic.

The Teaparty data set contained 1,533 tweets, replies and mentions.
Blue edges are connections created by replies and mentions. Grey lines are follows relationships.

Top most between users:
@ronpaul
@michellemalkin
@christopherhull
@theteaparty_net
@capaction
@thedailyedge
@bill1phd
@dbargen
@gulagbound
@rightcandidates

Graph Metric: Value
Graph Type: Directed
Vertices: 659
Unique Edges: 8808
Edges With Duplicates: 1423
Total Edges: 10231
Self-Loops: 1084
Connected Components: 49
Single-Vertex Connected Components: 44
Maximum Vertices in a Connected Component: 606
Maximum Edges in a Connected Component: 10148
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance:2.693965
Graph Density: 0.02036797
NodeXL Version: 1.0.1.193

The major clusters are composed of teaparty supporters. The center bottom cluster are teaparty critics.

This map of the connections among people who tweeted Occupywallstreet starts on 11/15/2011 23:08 and ends on 11/15/2011 23:34 UTC, a total of 26 minutes of traffic.

Occupywallstreet 1,370 tweets, replies and mentions
Blue edges are connections created by replies and mentions. Grey lines are follows relationships.

Top most between users:
@occupywallst
@mmflint
@nyclu
@allisonkilkenny
@andrewbreitbart
@operationleaks
@occupydenver
@theatlantic
@usgeneralstrike
@rt_com

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3546
Edges With Duplicates: 826
Total Edges: 4372
Self-Loops: 794
Connected Components: 241
Single-Vertex Connected Components: 230
Maximum Vertices in a Connected Component: 747
Maximum Edges in a Connected Component: 3998
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 2.65438
Graph Density: 0.003246246
NodeXL Version: 1.0.1.194

Some notable contrasts:
Teaparty Graph Density: 0.002652645
Occupywallstreet Graph Density: 0.02036797 – significantly lower levels of interconnection
Teaparty: Single-Vertex Connected Components 44 of 1000
Occupywallstreet: Single-Vertex Connected Components 283 of 1000

Many more “isolates” (Single-Vertex Connected Components) in Occupywallstreet.
Many more hubs, and more retweeting activity in Occupywallstreet.

The difference in duration of these data sets illustrates the relative speed of content creation in the topics. The data sets are commensurable in that they are both the result of a single query against the Twitter search API. So both maps are the results of charting connections among the authors of the last 1500 tweets, how ever long that takes to create.

Posted in All posts, Collective Action, Connected Action, Foundation, Measuring social media, Network clusters and communities, Network metrics and measures, Network visualization layouts, NodeXL, Politics, Research, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Sociology, Technology, Visualization Tagged #occupywallstreet, 15, 2011, Chart, graph, Information Visualization, Infovis, Map, network map, Networks, NodeXL, November, SNA, Social Media, teaparty, Visualization

Mapping the Twitter networks of #Chirp with NodeXL

16AprMay 7, 2015 By admin

The Twitter Chirp conference attracted tweets from many technology leaders and bloggers.  Here is a ranked list of the top most “between” people who tweeted the term “chirp” in the last day.

2010 - April - 15 - NodeXL - Twitter - chirp top betweenness authors

A complete social network map, with edge thickness proportional to the number of network connections (follows, replies, mentions) that link the two participants is here:

2010 - April - 15 - NodeXL - Twitter - chirp with edge weights

The zoomed version highlights the key players in the network and the tighter connections that surround the account for Twitter founder “Ev”.

Posted in All posts, Conference, Measuring social media, Network visualization layouts, NodeXL, Social Media, Social Network Analysis, Twitter, Visualization Tagged 2010, April, Chart, Chirp, Conference, graph, Hashtag, Information Visualization, Map, network, SNA, Social network, Twitter, View, Visualization 1 Comment

Connected Action Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us

Subscribe to Connected Action

Get updates when there is new content from Connected Action.

Related content:

Twitter Facebookflickrlinkedin
slidesharedeliciousdeliciousVimeo


Social Media Research Foundation

Help support the Social Media Research Foundation

Book: Analyzing Social Media Networks with NodeXL: Insights from a connected world

The book Analyzing Social Media Networks with NodeXL: Insights from a connected world is now available from Morgan-Kaufman and Amazon.

Communities in Cyberspace

Communities in Cyberspace

Recent Posts

  • Buy a map
  • Book: Transparency in Social Media Edited by Sorin Matei, Martha Russell and Elisa Bertino – with a chapter on NodeXL
  • June 5, 2015: Personal Democracy Forum – Talk on taking pictures of virtual crowds
  • Trust issues and Excel: how to open other people’s NodeXL documents
  • May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

Tags

2009 2010 2011 2013 2014 2015 Analysis Analytics April Chart Conference Data Event Excel graph June Lecture Map March Marc Smith May Media network NodeXL October Paper Presentation Research San Francisco SMRF SMRFoundation SNA social Social Media socialmedia Social Media Research Foundation Social network Sociology Talk Training Twitter University Video Visualization workshop

Categories

Archives

March 2023
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728293031  
« Jul    

Transparency in Social Media

2015-07-30-Transparency in Social Media-Structures of Twitter Crowds and COnversations
Transparency in Social Media
Sorin Adam Matei, Martha G. Russell, Elisa Bertino

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES: Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)

Apply NodeXL in espanol!

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES - Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)
By: Vivian Francos from #SEOHashtag Comparto algunas de las mejores formas de elegir los hashtags más poderosos y
que puedan generar tráfico a tus redes sociales para aprovechar el poder del
hashtag.
Si quieres aumentar tus interacciones, debes aprender a utilizar los hashtags como herramienta.

https://amzn.to/305Hpsv

Networked


Networked By Lee Rainie and Barry Wellman

Social Media in the Public Sector

2015-07-31Social Media in the Public Sector-Cover
Ines Mergel

Ways of Knowing in HCI

2014-Ways of Knowing in HCI - Olson and Kellogg

The Virtual Community


Virtual Community

The Evolution of Cooperation


The Evolution of Cooperation

Governing the Commons


Governing the Commons

SmartMobs


SmartMobs

Networks, Crowds, and Markets


Networks, Crowds, and Markets

Development of Social Network Analysis


Development of Social Network Analysis: A Study in the Sociology of Science

Search

Services

  • Buy a social media network map
  • Log in or Join us
  • My Cart
  • Training
  • Conferences
  • Data Reporting
  • Customize NodeXL
  • Marc Smith
  • About Us
© 2023 Connected Action
AccessPress Parallax by AccessPress Themes
0

Your Cart