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Network Data Archives

Connected Action enables cloud storage of your social media networks with the NodeXL Graph Server Database

10FebMay 7, 2015 By Marc Smith

Connected Action Logo

Connected Action enables cloud storage of your NodeXL social media network datasets.

The Connected Action NodeXL Graph Server Importer allows you to import your Twitter or Facebook data into NodeXL from the cloud based Connected Action NodeXL Graph Database.

Contact Connected Action for pricing and availability.

The Connected Action NodeXL Graph Server Database enables NodeXL users to store their social media data from Twitter and Facebook in a personal Cloud Storage locker.

Specify the search terms and queries that matter to you with your Connected Action account representative and the Connected Action NodeXL Graph Database will collect and store your social media data for you every day.

Subscribers to the Connected Action NodeXL Graph Database can then use NodeXL to import long periods of their collected social media network data in a short period of time!

The importer can be added to any recent copy of NodeXL.

Just download and unzip the add-in and copy it to the folder you have selected to hold 3rd party importers for NodeXL .

You can select the folder to use for 3rd party importers via the NodeXL menu located at:

NodeXL>Data>Import>Import Options:

20150210-NodeXL-Data-Import-Import Options Dialog

This folder can be located anywhere in your file system.

When you restart NodeXL, your NodeXL>Data>Import Menu may look like this:

20150210-NodeXL-Data-Import-Import Menu List

When you select the option “From Connected Action NodeXL Graph Server…” you will get a dialog that looks like:

Enter  your account credentials and then enter the queries you have created with your Connected Action account representative.

NodeXL will then import a social media network data set that can be automatically analyzed and visualized.

Posted in 2015, All posts, Connected Action NodeXL Graph Server Importer, Measuring social media, Metrics, Network clusters and communities, Network Data Archives, Network data providers (spigots), Network metrics and measures, NodeXL, SNA, Social Interaction, Social Media, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Technology, Visualization, Web Application Tagged 2015, Add-in, Analytics, BI, Cloud, Comments, Connected Action, Facebook, Fan Pages, Feature, Groups, Importer, Likes, Locker, network, NodeXL, Pages, Posts, Product, Service, SNA, Social network, socialmedia, Tweets

October 2-3, 2014: Digital Strategies for Development Summit, Asian Institute of Management, Makati City, Philippines – Mapping social media networks

22SepMay 7, 2015 By Marc Smith

20141002-AIM-DSDS-Banner

 

I attended and participated in the October 2-3, 2014 Digital Strategies for Development Summit hosted by the Asian Institute of Management and held in Makati City, Philippines.

The event gathered 50 speakers from around the world and more than 300 participants to focus on the role of digital and social technologies for civic needs.  The summit focused on bringing people from many communities into a discussion of how technology can be used for:

“…enabling a better society and an empowered community? How can various stakeholders, including Government, Private Sector and Civil Society gain more momentum for their core mandates by leveraging the use of digital technology enabled solutions? Can Digital Technology create a platform for better collaboration and cooperation amongst various stakeholders?”

I spoke about the role social network analysis can play in understanding the emerging world of social media and computer mediated collective action.

15451723266_1c67c46ebf_z

20141002-Digital Strategies for Development Summit-Sheet

Posted in 2014, All posts, Collective Action, Common Goods, Conference, Foundation, Measuring social media, Metrics, Network clusters and communities, Network Data Archives, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Performance scale parallel and cloud computing, Presentation, Research, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, User interface, Visualization, Workshop

NodeXL Office Hours: Thursday 10-12 Pacific Time in Google Hangout

13JunMay 7, 2015 By Marc Smith

2013-NodeXL Office Hours in Google Hangout

Hello!  Each Thursday at 10AM to noon (Pacific Time), I will be taking questions and providing support to NodeXL users in a Google Hangout.  Join me for a Q&A about NodeXL, SNA, Social Media, Networks, Mapping, Visualization and Analytics.

Posted in 2013, All posts, Measuring social media, Network Data Archives, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Performance scale parallel and cloud computing, Presentation, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Talks, User interface, Visualization, Workshop Tagged Google, Hangout, NodeXL, Office Hours, Support, Technical 5 Comments

2012 Summer Social Webshop at University of Maryland

23AugMay 7, 2015 By Marc Smith

2012 Summer Social Webshop Logo

[flickr id=”7831570160″ thumbnail=”medium” overlay=”true” size=”medium” group=”” align=”none”]

During August 21-24, 2012 Summer Social Webshop gathered 55 students and 20 speakers for a week of presentations, discussions, and collaboration around the study and application of social media to social good.  Sponsored by the U.S. National Science Foundation, the Social Media Research Foundation, and Grand, the Webshop brings doctoral students in computer science, iSchool, sociology, communications, political science, anthropology, psychology, journalism, and related disciplines together for 4-days of intensive workshop on Technology-Mediated Social Participation (TMSP).

Technology-Mediated Social Participation includes social networking tools, blogs and microblogs, user-generated content sites, discussion groups, problem reporting, recommendation systems, and other social media applied to national priorities such as health, energy, education, disaster response, political participation, environmental protection, business innovation, or community safety.

During the 4-day workshop, students attended presentations from an interdisciplinary group of leaders in the field and engage in other research and community-building activities like working on short-term projects, sharing research plans, developing new research collaborations, learning relevant software, analysis methods and data collection tools, and meeting Federal policy makers.

Videos and slides from talks:

Ben Shniederman Introduction to TMSP
Elizabeth Churchill Data by Design
Bernie Hogan A survey of Facebook as a research site
Noshir Contractor Organizing in the 21st century
David MacDonald Social Translucence in Wikipedia
Marc Smith Mapping social media spaces
Alan Neustadtl Realizing the potential of data
Eszter Hargittai Digital Inequality for Internet Research
Ines Mergel Social media adoption in the public sector
Libby Hemphill Elected Officials and Social Media
Nancy Baym Musicians and Social Media
Lise Getoor Link Mining
David Huffaker Applying Social Research at Google
Cliff Lampe Understanding Large-scale Interaction
Gerhard Fischer Cultures of Participation
Lee Rainie Networked
Zeynep Tufekci Why <<More>> is Different
Zeynep Tufekci Converstation at Brookings Institution
Jessica Vitak Tech & Relationships: It’s Complicated
Katie Shilton Participatory Personal Data
Jennifer Golbeck Politics on Twitter
Kevin Crowston Socio-Computational Research
Jana Diesner Words and Networks
Paul Resnick Social Approaches to Health and Wellness
Zeynep Tufekci Why <<More>> is Different
Itai Himelboim Information Sources on Twitter

Photos from the event:

[flickrset id=”72157631177125858″ thumbnail=”thumbnail” photos=”” overlay=”true” size=”small”]

Posted in All posts, Conference, Foundation, Maryland, Measuring social media, Network clusters and communities, Network Data Archives, Network metrics and measures, NodeXL, Politics, Research, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Sociology, Talks, Technology, University, Visualization, Webshop Tagged 2012, Education, Graduate, Maryland, NSF, Research, SMRF, social, University, Webshop, workshop

October 19-20, 2011: NYC – Predictive Analytics World: Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding

17OctMay 7, 2015 By Marc Smith

 

I presented on social media network analysis on October 20, 2011 in New York City at Predictive Analytics World.

A map of the connections among the people tweeting about the #Pawcon hashtag is below.

Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Coding

Abstract: Networks are everywhere except the end user desktop.  NodeXL, the free and open network overview, discovery and exploration add-in for the popular and familiar Excel (2007/2010) spreadsheet allows users who are comfortable making pie charts to now make useful network visualizations.  Developed and released by the Social Media Research Foundation, NodeXL uses Excel as a framework, providing a GUI network browser (a “web browser”?) that novices can use quickly and experts can use to generate sophisticated results.  Data importers provide access to a range of social media network data sources like Twitter, flickr, YouTube, Facebook, email, the WWW, and more through standard file formats (CSV, GraphML, Matrix).  Simple to use tools can automatically analyze, visualize and highlight insights in complex network graphs.  Using NodeXL, researchers have been collecting a wide range of network data sets from various social media services.  These images reveal a range of common social formations in social media and point to people who occupy strategic locations in these graphs.

This is a map of the connections among the people who tweeted the term “PAWCON” on the first day of the event:

[flickr id=”6261006732″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]

These are the connections among the Twitter users who recently tweeted the word #pawcon when queried on October 19, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.

A larger version of the image is here: www.flickr.com/photos/marc_smith/6261006732/sizes/l/in/ph…

Top most between users:
@tapan_patel
@pawcon
@sasanalytics
@deloitteba
@kristinevick
@jamet123
@zementis
@kdnuggets
@tibcospotfire
@saspublishing

Graph Metric: Value
Graph Type: Directed
Vertices: 41
Unique Edges: 233
Edges With Duplicates: 120
Total Edges: 353
Self-Loops: 44
Connected Components: 2
Single-Vertex Connected Components: 1
Maximum Vertices in a Connected Component: 40
Maximum Edges in a Connected Component: 352
Maximum Geodesic Distance (Diameter): 4
Average Geodesic Distance: 1.87133
Graph Density: 0.15304878
NodeXL Version: 1.0.1.179

Here is an example map of the connections among the people who tweeted the term “pawcon” in Twitter on September 14th, a week prior to the event.

[flickr id=”6274836259″ thumbnail=”small” overlay=”true” size=”large” group=”” align=”none”] [flickr id=”6274836151″ thumbnail=”small” overlay=”true” size=”large” group=”” align=”none”]

Manu Sharma, Principle Research Scientist at LinkedIn gave a great presentation on the patterns found in their data.  Big data, for example, showed that most of the people who previously worked at recently failed banks and financial institutions have updated their profiles to show that they mostly have new jobs at some of the remaining companies in the industry.

The event was held at the New York Hilton: Maps & Directions

Posted in All posts, Companies, Conference, Connected Action, Foundation, Measuring social media, Metrics, Network clusters and communities, Network Data Archives, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, SMRF, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Sociology, Talks, User interface, Visualization, Web Application Tagged 2011, Analysis, BI, Chart, Event, graph, Map, Marc Smith, Measure, network, New York, NodeXL, NYC, October, PAW, Predictive Analytics World, Presentation, SNA, Social Media, Social network, Talk, Visualization

NodeXL Graph Gallery on the web: Collectively Authored Archives of Networks

07SepMay 7, 2015 By Marc Smith

The NodeXL team from the Social Media Research Foundation has released a web application that allows users to upload network files and download files other users have uploaded.

The Social Media Research Foundation is dedicated to Open Tools, Open Data, and Open Scholarship.

The NodeXL Graph Gallery on the Web enables the research community to collectively gather and share data sets.

Users of NodeXL will notice a new NodeXL>Data>Export>To Web Gallery menu option which opens this dialog box:

Users will be able to browse the NodeXL Web Gallery for graphs that were recently uploaded:

Users will be able to search for graphs that contain certain keywords:

Users can then get details about the network graph and download those files they would like to investigate.

 

 

Posted in All posts, Foundation, Measuring social media, Network Data Archives, Network data providers (spigots), NodeXL, SMRF, Social Media, Social Media Research Foundation, Social network, User interface, Visualization, Web Application Tagged 2011, Analysis, April, Archive, Collection, Data, Dataset, Download, Federated, Gallery, network, NodeXL, SMRF, SMRFoundation, SNA, Social Media Research Foundation, Social network, Upload, WWW

June 24th: NodeXL Tutorial with Derek Hansen at Communities and Technologies 2009 (Penn State University)

17JunMay 7, 2015 By Marc Smith


Penn State hosts C&T 2009
Penn State hosts C&T 2009

Derek Hansen (University of Maryland) and I will be running a workshop as part of the Communities and Technologies conference next week in University Park, PA. We have room for additional participants. If anyone is interested, please email me (marc.smith@telligent.com) or Derek (shakmatt@gmail.com). If there is sufficient interest by those in the DC or Bay Area we could potentially arrange for a similar workshop closer to home. We are particularly interested in reaching instructors who may be teaching social network analysis or courses on social media in the Fall of 2009 and have a tutorial we have developed to aid in that process. The tutorial is being updated, but here is the old version (which still is useful!).  We will distribute the updated version at the conference and thereafter here on the blog and the NodeXL codeplex site.

Title: NodeXL: Social Network Analysis and Visualization tools for Social Media
Date/Time: Wednesday, June 24, 8:30am through early afternoon
Place: Penn State University, University Park, PA

(http://cct2009.ist.psu.edu/index.cfm)

This session will provide a walk through the basic operation of NodeXL. Attendees are encouraged to bring an edge list of interest. Sample data sets will be provided. To download the NodeXL add-in and slides, go to:
http://www.codeplex.com/NodeXL

Posted in All posts, C&T, Conference, Data Mining, Foundation, Measuring social media, Metrics, Network Data Archives, Network data providers (spigots), Network metrics and measures, Network visualization layouts, NodeXL, Research, SMRF, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talks, University, Visualization Tagged Conference, NodeXL, SMRF, SMRFoundation, SNA, Social Media, Social Media Research Foundation, workshop 1 Comment

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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

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