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A legend in your own network graph: NodeXL legend describes data elements

12JunMay 7, 2015 By Marc Smith

Every network visualization should have a legend that explains what the colors, edge widths, and filters are that define the network graph.

NodeXL automatically generates a network legend and displays it when the Graph Elements menu is opened:

And the “Legend” option is selected.

This will place a legend at the bottom of the visualization canvas:

Posted in All posts, Foundation, Network visualization layouts, NodeXL, SMRF, Social Media Research Foundation, Social network, User interface, Visualization Tagged 2011, April, Chart, Design, Feature, graph, Infovis, Legend, Map, network, NodeXL, SMRF, SMRFoundation, Social Media Research Foundation, v.166, View, Visualization

Mapping #e2 OR #e2conf connections in Twitter with NodeXL

13JunMay 7, 2015 By Marc Smith

Enterprise 2.0

The Enterprise 2.0 conference is about to get underway in Boston. The event focuses on all the ways social media tools that are familiar on the consumer Internet are making their way behind the firewall in many enterprises and institutions. Why can’t you “friend” a colleague or “like” a spreadsheet or slide deck? Employees often come to their jobs expecting tools that resemble the social media tools with which they already spend much of their time.

Like many conferences, this one has a hashtag, actually two that I know of: #e2 and #e2conf. There is already a good deal of activity leading up to the event. Here is a map of connections among a group of people who mentioned either #e2 or #e2conf in the last few days.

2010 - June - NodeXL - #e20 All 2010-06-13_10-45-00

In this map there are 532 Vertices and 9,395 Unique Edges, creating 13 Connected Components, 11 of which had only a Single-Vertex, the largest component had 519 vertices which were interconnected 9,393 times.  The small number of isolated components indicates that this is a cohesive community of highly connected participants.  These people know and follow, reply and mention one another.  The Graph had a Density of 0.03 and the Maximum Geodesic Distance (Diameter) was 5 steps with an Average Geodesic Distance of 2.

Within this mass of connected users is a core group of highly “between” people, those who most broadly span connections within the population. These are one possible set of “influentials” within the Enterprise 2.0 community.

Here is a two screen view of the list of the top most between #e2 OR #e2conf mentioning twitter users along with the overview graph of their internal linkages.

2010 - June - NodeXL - #e20 Top Betweenness and Graph 2010-06-13_10-45-00

A closer look at the graph alone can reveal enough detail to read the names of these central participants.

2010 - June - NodeXL - #e20 Top Betweenness Graph 2010-06-13_10-45-00

This is a view of the list of authors sorted in Excel by their “Betweenness centrality” score, the measure of how much these people “bridge” across the network.

2010 - June - NodeXL - #e20 Top Betweenness 2010-06-13_10-45-00

An alternative view plots these contributors in an X/Y space based on their count of followers (along the x axis) and count of tweets (along the y axis).

The top 15 are:

dhinchcliffe
jowyang
rlavigne42
enterprise20
jumpersearch
marciamarcia
itsinsider
cmswatch
philcampos
rwang0
dankeldsen
lliu
juliancaparaz
lehawes
sameerpatel

2010 - June - NodeXL - #e20 All x followers y tweets 2010-06-13_10-45-00

Twitter users who mentioned #e2 or #e2conf on June 13, 2010 scaled by number of followers, x = log(followers), y = log(tweets).

There is a correlation between tweets and followers, but not everyone converts tweets to followers at the same rate. Below the diagonal are those who over convert tweets to followers, those above the diagonal under convert tweets to followers.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is forthcoming summer 2010 from Morgan Kaufmann and from Amazon.

Posted in All posts, Conference, Connected Action, Enterprise 2.0, Industry, Measuring social media, NodeXL, Social Media, Social network, Social Network Analysis, Twitter, Visualization Tagged #e2, #e2conf, 2010, Boston, Chart, Conference, Diagram, eventmap, June, Map, network, NodeXL, SMRF, SMRFoundation, SNA, Social Media Research Foundation, Social network, View, Visualization 1 Comment

Mapping the Twitter networks of #Chirp with NodeXL

16AprMay 7, 2015 By admin

The Twitter Chirp conference attracted tweets from many technology leaders and bloggers.  Here is a ranked list of the top most “between” people who tweeted the term “chirp” in the last day.

2010 - April - 15 - NodeXL - Twitter - chirp top betweenness authors

A complete social network map, with edge thickness proportional to the number of network connections (follows, replies, mentions) that link the two participants is here:

2010 - April - 15 - NodeXL - Twitter - chirp with edge weights

The zoomed version highlights the key players in the network and the tighter connections that surround the account for Twitter founder “Ev”.

Posted in All posts, Conference, Measuring social media, Network visualization layouts, NodeXL, Social Media, Social Network Analysis, Twitter, Visualization Tagged 2010, April, Chart, Chirp, Conference, graph, Hashtag, Information Visualization, Map, network, SNA, Social network, Twitter, View, Visualization 1 Comment

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Book: Analyzing Social Media Networks with NodeXL: Insights from a connected world

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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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