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
    • Other products and services
  • Sample maps
  • Blog
    • Books
    • NodeXL
    • Events
  • Newsletter
  • Videos
  • Contact
  • Log In

Sparkline

Sparklines guide Dynamic Filters for social networks in NodeXL v.1.0.1.111

09FebMay 7, 2015 By Marc Smith

Time for another NodeXL update: sparklines!  Sparklines are a nifty and compact way of displaying a line chart in a small area.

Setting dynamic filters in NodeXL has been somewhat like rummaging around in the dark: without a way to see the distribution beneath a filter the user only knows the max and min values, not where the bulk of the observed data is located.  This version of NodeXL (1.0.1.111) features an improvement to the Dynamic Filters feature used to limit the nodes and edges displayed in the network visualization pane.  Earlier versions of Dynamic Filters allowed users to select a range for each attribute associated with the Edges and Vertices worksheet.  In the last version of NodeXLwe added an automated feature for creating those distribution histograms and placing them in a stack on the Overall Metrics worksheet after the user runs the “Graph Metrics” feature.  That is helpful but the worksheet is far from the user when they are setting the ranges within the Dynamic Filters dialog.  Now, the current release adds “sparklines” to the Dynamic Filters dialog box: as you set the upper and lower bounds for any network edge or vertex attribute, you can see how much of the distribution is included and excluded in the display.

This is one of several features added to NodeXL to make it easier for users to explore their networks and find actionable insights.  We have added sparklines in the dynamic filters interface in NodeXL so that you can now see the shape of a value’s distribution as you set the maximum and minimum values to be included in the filter.  Histograms also now appear in the Overall Metrics tab of the NodeXL worksheet where they convey the distribution of the major network attributes in the graph.

Posted in All posts, Metrics, NodeXL, Social Media, Social network, Social Network Analysis, Sociology, User interface, Visualization Tagged Display, distribution, Dynamic Filters, Filter, NodeXL, SMRF, SMRFoundation, SNA, Social Media, Social Media Research Foundation, Social network, Sparkline 2 Comments

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

October 2026
M T W T F S S
 1234
567891011
12131415161718
19202122232425
262728293031  
« 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
© 2026 Connected Action
AccessPress Parallax by AccessPress Themes
0

Your Cart