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network analysis

Pew Internet and Social Media Research Foundation Report: Six kinds of social media networks in Twitter

20FebMay 7, 2015 By Marc Smith

2013-Pew Banner Logo

20110414-SMRF-Logo

NodeXL Logo

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.

2014-Pew-SMRF-NodeXL-6 Kinds of social media network patterns - Animated

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.

Posted in 2014, All posts, Collective Action, Companies, Connected Action, Foundation, Measuring social media, Metrics, NodeXL, Papers, Pew Internet, Politics, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Twitter, University, Visualization Tagged American Life, Analysis, Ben Shneiderman, Big Data, Bigdata, Internet, Itai Himelboim, Lee Rainie, Marc Smith, network, network analysis, NodeXL, Pew, Political Network, Politics, SMRF, Social Media Research Foundation, Social Structure, Visualization

StrataConf 2014 – February 11-13, Santa Clara – Network Science Made Simple: SNA for pie chart makers

03FebMay 7, 2015 By Marc Smith

2014-strataconf_logo

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

Marc Smith (Connected Action Consulting Group)
2:20pm Wednesday, 02/12/2014
Data Science
Ballroom ABNetworks are everywhere, particularly in social media. Understanding networks can quickly reveal the key people, groups, and topics that matter most. But the tools to collect, analyze, visualize, and gain insights into connected structures have remained complex. Now the free and open NodeXL application makes network analysis tasks as easy as making a pie chart. The Network Overview Discovery and Exploration add-in for Excel (2007, 2010, 2013) extends the familiar spreadsheet, enabling users to easily access networks from a range of data sources including Facebook, YouTube, Twitter, Flickr, email, message boards, Wikis, blogs, and other repositories of connections. With simple automation tools, NodeXL users can calculate a range of network metrics, create a visualization, and generate a report highlighting key people, groups, and top URLs, hashtags, words and word pairs used in the discussion network. Network maps have revealed many of the hidden structures of social media, defining the major differences in the shapes and structures created as people link to one another.

I will also hold Office Hours at the event:

Office Hour with Marc Smith (Team NodeXL)

Marc Smith (Connected Action Consulting Group)
3:00pm Wednesday, 02/12/2014
Office Hour
Table A
If you have questions on social network analysis, meet with Marc to talk about:
  • NodeXL and related network analysis and visualization tools
  • How to collect, store, analyze, visualize, summarize and publish social network reports with just a few clicks (and no coding)
  • How to identify key influential people and subgroups within a conversation network
  • How to apply social network analysis to social media marketing
  • How to apply organizational network analysis to enterprise collaboration

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:

  • @strataconf
  • @oreillymedia
  • @thedatacrunch
  • @dataiku
  • @alpinedatalabs
  • @sasanalytics
  • @zettaforce
  • @bigdata
  • @josemariasiota
  • @tibco

You can make these types of maps with just a few clicks using NodeXL.

I hope to see you in Santa Clara!

Strata Conference 2014

Posted in 2014, All posts, Collective Action, Conference, Connected Action, Data Mining, Foundation, Measuring social media, NodeXL, O'Reilly, Presentation, Research, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Social Theories and concepts, Sociology, Strata, Talk, Talks, Technology, Training, Visualization, Workshop Tagged 2014, Analysis, Lecture, network, network analysis, NodeXL, O'Reilly, SMRF, SNA, Social Media Research Foundation, Strata, StrataConf, Talk, Training, workshop 2 Comments

October 2, 2013: Washington, DC NodeXL Meetup – Join us for an afternoon of social media network analysis

22SepMay 7, 2015 By Marc Smith

NodeXL users in the Washington DC area are welcome to join a free users group meetup on October 2, 2013 at 2pm.

There will be a morning session at the University of Maryland (9-11) and an afternoon session downtown.

If you’d like to attend, please complete this form.

I hope to see you there!

Posted in 2013, All posts, Foundation, Maryland, Measuring social media, Metrics, NodeXL, Presentation, Research, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Training, Visualization, Washington, Workshop Tagged 2013, DC, Marc Smith, network, network analysis, NodeXL, October, SMRF, SNA, Social Media Research Foundation, Training, Users Group 5 Comments

Dr. Cody Dunne speaks about Network Motif Simplification at the recent CHI 2013 conference in Paris, France

06MayMay 7, 2015 By Marc Smith

Here is Dr. Cody Dunne speaking about a new information visualization technique called “Network Motif Simplification” at the recent CHI 2013 conference in Paris, France.

Cody Dunne presents Network Motif Simplification at CHI 2013 Photo Credit: Ben ShneidermanDr. Cody Dunne at CHI 2013 (Photo Credit: Ben Shneiderman)

Networks, no matter how complex, are composed of simpler, smaller structures, called motifs.  Some of these structures are easy to identify, like the pattern of a “star” where a single node acts as the sole connection to a connected component for one or more “pendant” nodes with a single tie.  Another common pattern are nodes that are “parallel bridges” which share the only two connections they have with two or more other nodes.  These common structures  can be identified and removed and replaced with more efficient and comprehensible representations.

His paper with Prof. Ben Shneiderman at CHI 2013, “Motif simplification: improving network visualization readability with fan, connector, and clique glyphs“, demonstrates a novel method for improving the quality of network visualizations.  Common network motifs appear frequently in networks.  In network motif simplification these patterns are removed and replaced with simpler composite images:


Motifs collapse into simple glyphs

The result is a simplification of the network visualization, removing clutter to reveal the core structural properties of interest.

2013-NodeXL-Analysis-Groups-By Motif exampleA complex network of voting relationships in the
2007 United State Senate is reduced to a simplified form

This method for collapsing complex network graphs into simpler forms has been implemented in NodeXL.  Look for the feature in the NodeXL Ribbon menu, in the NodeXL > Analysis > Groups > Group by Motif… option.

2013-NodeXL-Analysis-Groups-By Motif
NodeXL implements network motif simplification

The feature allows users to select the types of motifs that should be recognized and collapsed:

2013-NodeXL-Analysis-Groups-By Motif Dialog
Users select network motifs to find and replace

The paper has been reviewed by Stephen Few on the Perceptual Edge Visual Business Intelligence blog.

Here is Dr. Dunne’s video explaining and demonstrating the concept:

For more information about the project, see: http://www.cs.umd.edu/hcil/nicernetvis

Posted in 2013, All posts, CHI, Conference, Foundation, Maryland, Network visualization layouts, NodeXL, Research, Social Media Research Foundation, Social network, University, Visualization Tagged 2013, Chart, CHI 2013, Cody, Dunne, graph, Map, Motif, network, network analysis, NodeXL, Simplification, SNA, Visualization 11 Comments

#JW11 NodeXL SNA Map for 10 October 2011

11OctMay 7, 2015 By Marc Smith

The Jive World 11 conference took place October 4-6, 2011.

[flickr id=”6234653454″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
These are the connections among the Twitter users who recently tweeted the word #JW11 when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: www.jivesoftware.com/jiveworld

A larger version of the image is here: www.flickr.com/photos/marc_smith/6234653454/sizes/l/in/ph…

Top most between users:
@jivesoftware
@gialyons
@mikefraietta
@cflanagan
@cosmopolitan_lv
@ginorossi
@kristinhersant
@thebrandbuilder
@alanlepo
@mor_trisha

Graph Metric: Value
Graph Type: Directed
Vertices: 345
Unique Edges: 3606
Edges With Duplicates: 2072
Total Edges: 5678
Self-Loops: 632
Connected Components: 11
Single-Vertex Connected Components: 9
Maximum Vertices in a Connected Component: 334
Maximum Edges in a Connected Component: 5659
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.353001
Graph Density: 0.034184361
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Posted in All posts, Conference, Industry, Measuring social media, Network visualization layouts, NodeXL, Social Media, Social Network Analysis, Social Roles, Sociology, Visualization Tagged 2011, Analysis, Analytics, BI, Conference, EventGraph, Infovis, Jive, network analysis, NodeXL, October, Platform, SNA, Social Media, Social network, Social Software, socialmedia, Twitter

#AOIR NodeXL SNA Map for 10 October 2011

11OctMay 7, 2015 By Marc Smith

The Association of Internet Researchers conference is occurring now in Seattle, Washington.

http://ir12.aoir.org/

[flickr id=”6233561108″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
These are the  connections among the Twitter users who recently tweeted the word AOIR when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: ir12.aoir.org/

Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko

Graph Metric: Value
Graph Type: Directed
Vertices: 98
Unique Edges: 119
Edges With Duplicates: 672
Total Edges: 791
Self-Loops: 153
Connected Components: 40
Single-Vertex Connected Components: 35
Maximum Vertices in a Connected Component: 55
Maximum Edges in a Connected Component: 710
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance: 2.257477
Graph Density: 0.035766884
NodeXL Version: 1.0.1.179

By expanding the query to include #IR12, the conference hashtag, the network expands to include:

[flickr id=”6234691231″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]

Connections among the Twitter users who recently tweeted the word AOIR OR #IR12 when queried on October 11, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko

Graph Metric: Value
Graph Type: Directed
Vertices: 231
Unique Edges: 1984
Edges With Duplicates: 2118
Total Edges: 4102
Self-Loops: 586
Connected Components: 46
Single-Vertex Connected Components: 40
Maximum Vertices in a Connected Component: 181
Maximum Edges in a Connected Component: 4012
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.213887
Graph Density: 0.046320346
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Posted in All posts, AOIR, Conference, Measuring social media, Network metrics and measures, Network visualization layouts, NodeXL, SMRF, Social Media, Social Media Research Foundation, Social Network Analysis, Social Roles, Visualization Tagged #IR, AOIR, Association of Internet Researchers, Chart, graph, IR11, Map, network, network analysis, NodeXL, SNA, Social Media, socialmedia, Twitter, Visualization

#occupywallstreet NodeXL SNA Map for 10 October 2011

10OctMay 7, 2015 By Marc Smith

#occupywallstreet continues to be an active topic of social media traffic.

Here is the updated map of connections among people who recently tweeted #occupywallstreet:

[flickr id=”6232030871″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]

[flickr id=”6232550608″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]

These are the connections among the Twitter users who recently tweeted the word OccupyWallStreet when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: occupywallst.org/

A larger version of the image is here: www.flickr.com/photos/marc_smith/6232030871/sizes/l/in/ph…

Top most between users:
@ajenglish
@anonymousirc
@cnbc
@rawstory
@ryannewyork
@mediabistro
@blogdiva
@brentnhunter
@krenner2
@rebuilddream

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3014
Edges With Duplicates: 720
Total Edges: 3734
Self-Loops: 994
Connected Components: 318
Single-Vertex Connected Components: 300
Maximum Vertices in a Connected Component: 664
Maximum Edges in a Connected Component: 3326
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.508133
Graph Density: 0.002524525
NodeXL Version1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Posted in All posts, Collective Action, Measuring social media, Network clusters and communities, Network visualization layouts, NodeXL, Politics, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Visualization Tagged #occupy, #occupywallstreet, #ows, 2011, Chart, graph, Map, network analysis, NodeXL, October, SNA, Social Media, Social network, socialmedia, Visualization

#occupywallstreet NodeXL SNA Twitter Map for 8 October 2011

08OctMay 7, 2015 By Marc Smith

The #Occupywallstreet movement is growing and lots of activity is taking place in social media.  Here is a map of the connections among the people who recently tweeted the term “#occupywallstreet” on 8 October 2011.

[flickr id=”6225446144″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
Link: www.flickr.com/photos/marc_smith/6225446144/

Each user is scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

See: occupywallst.org/

A larger version of the image is here: www.flickr.com/photos/marc_smith/6225446144/sizes/l/in/ph…

Top most between users:
@maddow
@motherjones
@aclu
@zerohedge
@mmfa
@spread4freedom
@diggrbiii
@angelsavant
@marychastain
@katiepavlich

Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3835
Edges With Duplicates: 916
Total Edges: 4751
Self-Loops: 1109
Connected Components: 311
Single-Vertex Connected Components: 301
Maximum Vertices in a Connected Component: 678
Maximum Edges in a Connected Component: 4327
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.283708
Graph Density: 0.003408408
NodeXL Version: 1.0.1.179

More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/

Posted in All posts, Collective Action, Common Goods, Community, Foundation, Measuring social media, Network visualization layouts, NodeXL, Politics, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Sociology, Visualization Tagged #occupywallstreet, 2011, Chart, graph, Map, network, network analysis, NodeXL, October, SNA, Social Media, Social network, Twitter, Visualization 1 Comment

Talk at Israel Internet Association on February 22, 2010

11MarMay 7, 2015 By Marc Smith

2009 - December - isoc_logo2009 - December - isoc logo

The Annual Meeting of the Israel Internet Association (http://www.isoc.org.il (English)) was held February 22-23 2010. I spoke at this year’s meeting: http://www.isoc.org.il/conf2010/agenda.php?lang=en

Part 1

Part 2The previous year’s conference website is at: http://www.isoc.org.il/conf2009/program.php

The Israel Internet Association is the official Israeli Chapter of the Internet Society.  Their annual meeting is a central event of academics (sociologists, psychologists, business and law) as well as industry participants from sectors including mobile cellular companies and internet service suppliers.

My talk title: Analyzing Internet social media: visualizing social networks in (mobile) computer networks
Abstract: Social media systems on the Internet are sociologically interesting: why do some online groups succeed where others fail?  How do different collections of online media and populations of authors differ from one another?  How do patterns of contribution vary and how do these differences illustrate the roles people play within their communities?  Several visualizations of patterns of contribution and connection in a range ofInternet social media including web boards, enterprise social networks services, and personal email are presented to illustrate the range of variation among social media repositories and between types of contributors.  These images suggest that a more comprehensive overview of social media can generate sociologically relevant findings, improve community management tasks as well as provide features that can improve search and ranking of user generated content.  A freely available tool, NodeXL, will be demonstrated to perform basic social media analysis tasks.  Extending these tools to include mobile social software (“mososo”) data sets is a major new direction.   In the not too distant future, mobile devices will possess a range of sensors and become more “socially aware”.  When phones routinely notice each other the nature of social interaction will change dramatically.  How will places and locations change when machines become socially aware?  In this talk, sociologist Marc Smith, Chief Social Scientist for Connected Action Consulting Group, a provider of social media analysis platforms and services, will describe these new technologies and some ways of thinking about their implications.
Photos from the trip:
[flickrset id=”72157623467274376″ thumbnail=”square”]
Posted in All posts, Conference, Industry, Measuring social media, NodeXL, Research, Social Media, Social network, Talks Tagged 2010, February, Internet, ISOC, ISOC-IL, ISOC-IL10, Israel, Keynote, Marc Smith, network analysis, Networks, SNA, Social Media, Talk, Tel Aviv, Video, Visualization 1 Comment

Recently, Stanford Media X Workshop – New Metrics for New Media: Analytics for Social Media and Virtual Worlds

12SepMay 7, 2015 By Marc Smith

Stanford University - Media X Program

On August 5th and 6th I led a workshop with Martha Russell on social network analysis of social media as part of the Stanford Media X Summer Institute on New Metrics for New Media: Analytics for Social Media and Virtual Worlds this Summer.

New Metrics for New Media:  Analytics for Social Media and Virtual Worlds
Organizers:  Martha Russell, Marc Smith
August 5-6

Social media and virtual worlds offer two important frontiers for measuring earned engagement. In both, audiences are actively engaged as participants. This workshop covered foundational concepts in media measurement, describe new frontiers in measuring audience engagement in social media and virtual worlds, and provided hands-on experience in using new analytical tools.

This session also provided a walk through the basic operation of NodeXL, including generation of social networks from social media data sources like personal e-mail (drawing data from the Windows Desktop Search engine) and the Twitter social network micro-blogging system. Arbitrary edge lists (anything that can be pasted into Excel) can be visualized and analyzed in NodeXL. Attendees were encouraged to bring an edge list of interest. Sample data sets were provided.

Video about the New Media for New Metrics Workshop

Agenda WEDNESDAY, August 5: #124 Wallenberg Hall

Stanford University

08.30 – 09.00 – Welcome, Introductions & Overview Continue reading →

Posted in All posts, Community, Measuring social media, Metrics, NodeXL, Social Interaction, Social network, Sociology, Talks, Visualization Tagged 2009, August, Community, Measure, Media X, Metrics, network analysis, ROI, SNA, Social Media, Stanford, Talk, workshop

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Transparency in Social Media

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Apply NodeXL in espanol!

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

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