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Software

How to summarize the URLs, Hashtags and @Users mentioned in clusters of users discussing a Twitter Topic with NodeXL

19MayMay 7, 2015 By Marc Smith

Social media networks tend to be “clumpy”. Here is the map of connections among people who tweeted the term “global warming”:

NodeXL v.210 and newer now supports text analysis of content collected from social media data sources.  NodeXL applies social network clustering and then analyzes text that is grouped by social clusters.

Connections among people who tweet about a topic, keyword or hashtag form patterns that can lead to the formation of sub-groups and clusters.  Multiple clusters are formed within a network when a sub-population of people link to one another far more than to people in other groups. These regions of dense connections define the boundaries between sub-populations. Clusters often reflect the variation in interest in certain people and topics in the population. Some people and topics are more interesting to one group than others. Within these groups certain people and words get repeated more often than others.

Networks can be partitioned by many methods. NodeXL implements several. A collection of vertices can be grouped by the user by applying labels to the vertex worksheet (“Group by vertex attribute”). Or a group of vertices can be determined by an algorithm that looks for differences in the density of connections and divides by the points of least association (“Group by cluster algorithm”). Networks can also be grouped into separate isolated collections of nodes, called “connected components”.

In NodeXL groups can be visualized in multiple ways. Groups can be collapsed into meta-vertices that stand-in for the members of that group (right-click the graph pane and select “Groups>Collapse all groups”). Group members can also be displayed within a “box” with the “group-in-a-box” feature (found in the layout selection menu in the Graph Pane – select “Layout Options”).

Within each group is a population of people along with the tweets they authored in the time period captured by the data set. Each group has a collection of tweets that can be analyzed. The contents of all the tweets in a network can be scanned and certain types of strings can be counted to measure its frequency of mention. These counts can be repeated for each group, allowing groups to be contrasted based on the relative rates strings like URLs, hashtags, and @usernames. Here is a sample of the worksheet NodeXL creates to display all the data about people, URLs, and hashtags frequently mentioned in each group:

The worksheets offers top URLs, hashtags, and users across the entire network, and within each sub-group. The details offer insights into the people and topics of greatest interest.

Top Hashtags in Tweets in G7 G7 Count
globalwarming 24
climate 14
climatechange 10
environment 9
agw 6
books 6
glennbeck 6
rushlimbaugh 6
wildlife 5
science 5

 

Top Hashtags in Tweets in G5 G5 Count
tcot 13
teaparty 4
oil 4
globalwarming 4
p2 2
wrp 2
yyc 2
blameman 1
libtards 1
climatechange 1

 

Top Hashtags in Tweets in G4 G4 Count
ff 2
globalwarming 2
jokeswritethemselves 1
silverlining 1
ulooklikechazbonoonroids 1
jclogic 1
climatechange 1

 

Top URLs in Tweet, in Entire Graph Entire Graph Count
http://LiveScience.com 16
http://bit.ly/IdTUlC 14
http://ow.ly/apxEv 10
http://is.gd/ZSXuVT 10
http://stevengoddard.wordpress.com/2012/04/21/arctic-ice-area-approaching-abnormally-high-range/ 9
http://bit.ly/IbMs8o 9
http://www.financialpost.com/m/wp/fp-comment/blog.html?b=opinion.financialpost.com/2012/04/20/aristotles-climate 8
http://bit.ly/JwlWYw 8
http://yhoo.it/JdLq0Q 7
http://usat.ly/JdNKFh 7

This feature allows the content in sub-groups to be contrasted, thus answering the question: how is this sub-group the same or different from another sub-group?

Posted in All posts, Foundation, Measuring social media, Network clusters and communities, Network metrics and measures, NodeXL, Research, SMRF, Social Media, Social Media Research Foundation Tagged 2012, Analysis, Content Analysis, network, NodeXL, Social Media Research Foundation, Software, update, v209, v210

NodeXL Research Group Meeting: Version 84 emerges with “Schemes”

16MayMay 7, 2015 By Marc Smith

NodeXL

There has been significant progress in the NodeXL project!  We have just released version .84 that includes support for “schemes” that can set a collection of display attributes in a single click.  Along with updates to the menu ribbon, NodeXl v.84 is becoming a full featured platform for social network analysis in Excel.

NodeXL v84 Schemes Dialog

http://www.flickr.com/photos/marc_smith/sets/72157617504025567/

[flickrset id=”72157617504025567″ thumbnail=”square” overlay=”true” size=”medium”]
I attended a meeting at the University of Maryland of the NodeXL research team.  Natasa Milic-Frayling from Microsoft Research, Cambridge and Eduarda Mendes Rodrigues (also MSR Cambridge)  arranged to visit the campus to meet with Professors Derek Hansen and Ben Shneiderman from the University of Maryland’s departments of Information Studies and Computer Science respectively.  Ben and Derek have had their students Cody Dunne, Dana Rotman, and Elisabeth Bonsignure studying how the students in a recent class used NodeXL.  The class focused on studying online communities and social media more broadly.  Students studied message boards, social networking services, and game environments, collecting data and analyzing the results with social network techniques.

Results include:

A paper has been written about the way the tool works and was taught and learned — it will be submitted for possible publication at the IEEE Social Computing 2009 conference in Vancouver this August 29/30.

An earlier related paper was accepted for publication at the 2009 Communities and Technologies conference to be held at Penn State University this June 23, 24, 25.  The paper describes basic steps for analyzing social media networks.

Posted in All posts, Measuring social media, Metrics, NodeXL, Research, Social Media, Social network, Social Roles, Sociology, Visualization Tagged Analysis, Excel, network, NodeXL, Research, social, Software, Tools, Visualization

Social Computing 2009 – Call for Papers: Workshop on the Social Mobile Web

09AprMay 7, 2015 By Marc Smith

Call for Papers: Workshop on the Social Mobile Web

Held in conjunction with SocialCom ’09
29th-30th August, Vancouver, Canada
http://thesocialmobileweb.org

The mobile space is evolving at an astonishing rate. At present there are over 3.5 billion mobile subscribers worldwide and with continued advances in devices, services and billing models, the mobile web looks set to inspire a new age of anytime, anywhere information access. The inherent characteristics of mobile phones enable new types of interactions, e.g. mobile phones are personal to the individual, they are always on and always connected. And as such we are seeing a shift towards mobile devices for social mediated tasks. The world is also witnessing an explosion in social web services. Online social networking sites such as Facebook and MySpace continue to experience huge increases in usage, with more and more users seeking novel ways of interacting with their friends and family.

In this workshop we are interested in the combination of these two exciting research spaces: the social web and the mobile space. We believe that the social mobile web is going to be a highly influential research area in the near future. As such this workshop will investigate the current state of the social mobile web. Topics of interest to this workshop include (but are not limited to) the following:

* Novel social interactions on mobile devices.
* Social mobile content sharing and distribution services.
* Context aware mobile services – beyond location based services.
* Social mobile search and social mobile browsing.
* User evaluations of social mobile services.
* Mobile user interfaces that incorporate social elements.
* Mobility and social networks.
* Models of mobile social behavior and mobile traces.
* Urban gaming, mobile mixed reality, etc.
* Innovative social mobile applications.

This workshop is targeted towards researchers working within the mobile web and social web spaces.  Participants are invited to submit: (1) a short position or demonstration paper of 2-4 pages in length or (2) a full length technical paper of up to 10 pages in length. Papers should be in IEEE publication format and should be submitted as a PDF file via email to organizers@thesocialmobileweb.org. Workshop papers will be published by IEEE CS Press. Note that at least one author of accepted papers needs to register and attend the workshop.

Organising Committee
————————–
* Karen Church, Telefonica Research, Barcelona
* Josep M. Pujol, Telefonica Research, Barcelona
* Barry Smyth, University College Dublin, Ireland
* Noshir Contractor, Northwestern University, Evanston

Program Committee
————————–
* Lada Adamic, University of Michigan
* Alex Arenas, Universitat Rovira i Virgili
* John Breslin, DERI Institute, NUI Galway
* Meeyoung Cha, Max Planck Institute for Software Systems
* Augustin Chaintreau, Thomson Research
* Nathan Eagle, MIT/Santa Fe Institute
* Andreas Flache, University of Groningen
* Jill Freyne, CSIRO
* Scott A. Golder, Cornell University
* Carmen Guerrero, Universidad Carlos III
* Tom Heath, Talis
* Matt Jones, FIT Lab, Swansea University
* David Lazer, Harvard University
* Nuria Oliver, Telefonica Research
* Alex Payne, Twitter
* Ramon Sang¸esa, Technical University of Catalonia, Citilab
* Albrecht Schmidt, University Duisburg-Essen
* Marc Smith, Telligent Systems
* Roger M. Whitaker, University of Cardiff
* Peter Mika, Yahoo Research Labs

Important Dates
11th May 2009: Deadline for submissions
5th June 2009: Notification to authors
15th June 2009: Final paper version deadline
29th-31st August 2009: Conference dates

Website
Further details are available from the workshop website at: http://thesocialmobileweb.org


Posted in All posts, Collective Action, Conference, Medical sensors, Mobile Devices, Mobile Social Software, Social network, Sociology, Technology Tagged Conference, Mobile, Socal Computing 2009, social, Software, workshop

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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

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