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NodeXL: Network overview, discovery and exploration add-in for Excel 2007

14DecMay 7, 2015 By Marc Smith

I am pleased to announce the return of our network overview, discovery and exploration add-in for Excel 2007 now called NodeXL.

Patterns of reply in email, created with NodeXL

Please visit http://www.codeplex.com/nodexl for the add-in and the source code for the application.

Key features in NodeXL:

> Import data from existing spreadsheets and other network analysis application file formats
> Import data from email reply networks on systems with Windows Search and local stores of email
> Twitter API: pull twitter networks into NodeXL for exploration
> Merge duplicate edges from imported edge lists
> Calculate degree, clustering, and betweenness measures
> Generate subgraph images for every node
> Create clusters for collections of nodes
> Decorate graphs with control over location, color, size, shape or image, and opacity of each edge or vertex
> Dynamic filters: use sliders to filter the graph by multiple dimensions of your data about each edge or vertex

NodeXL graph and Excel interface
We welcome your comments, suggestions and best examples of NodeXL graphs on the Codeplex NodeXL discussion board.
–
NodeXL project group network
NodeXL project group network
The NodeXL Project Team includes:
  • Natasa Milic-Frayling (Microsoft Research Cambridge)
  • Eduarda Mendes Rodrigues (Microsoft Research Cambridge)
  • Tony Capone (Microsoft Research Redmond)
  • Dan Fay (Microsoft Research Redmond)
  • Ben Shneiderman (University of Maryland)
  • Adam Perer (University of Maryland)
  • Cody Dunne (University of Maryland)
  • Marc Smith (Telligent Systems)
  • Vladimir Barash (Cornell)
  • Eric Gleave (University of Washington)
Posted in All posts, Community, email, NodeXL, Social Media, Social network, Sociology, Visualization Tagged Add-in, Directed Graph, Excel, network, Social Media, Social network, Visualization 1 Comment

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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

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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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