
May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

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:
This folder can be located anywhere in your file system.
When you restart NodeXL, your NodeXL>Data>Import Menu may look like this:
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.
There will be a one day crash course on all things “big data” at the upcoming San Francisco Predictive Analytics World conference on Monday, March 30th, 2015. Get the Big Data big picture with a day of introduction to the major concepts, methods, challenges, and best practices related to leveraging large volumes of information.
There will be a session on social media network analysis using NodeXL at the conference as well.
http://www.predictiveanalyticsworld.com/sanfrancisco/2015/agenda.php#day1-1120b
11:20am-12:05pm
Track 2: Social Data
Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL
Networks are collections of connections — they are everywhere once you start to look. Learn how to collect, analyze, visualize, and publish insights into connected populations. Using the free and open NodeXL addin for Excel, anyone who can make a pie chart can now make a network chart. Create insights into social media, collaboration, organizations, markets, and other connected structures with just a few clicks. Easily publish reports with visualizations and content analysis. Apply social network analysis to your own brands, email, discussions or web sites.
There will be a NodeXL Hands-on Training session at the MURTEC (Multi-Unit Restaurant Technology Conference) at Caesars Palace, Las Vegas. March 17-19, 2015
The IT Leader’s Guide: How to Map Your Brand’s Social Media Network
Speaker: Marc A. Smith, Director, Social Media Research Foundation
Social media matters – it matters to consumers – and that social chatter can matter to you if you understood how to interpret it. Learn to identify your key social media influencers and use that information to amplify your brand’s message. Uncover connections between sales and social media data, empower marketing to uncover new dining trends and brand champions, and even impact loss prevention efforts. This session will teach you how to apply social media network maps to your brand (and competitor’s). Restaurant executives, in particular those with a technology mind-set, will find great value in learning how to build, interpret and use social network maps. Participants will have an opportunity to map their own brand on social media using the free and open NodeXL (http://nodexl.codeplex.com) tool.
Bring a Windows laptop running a recent copy of Office to participate in the exercises!
This is an example NodeXL social media network map and report for the hashtags #MURTEC, #HotelTechForum, #RestES or htmagazine:
Maps and reports like these reveal the structure of an online conversation, revealing the key people, groups, and topics.
The “mayors” of this discussion are:
@htmagazine, @vivianfatule, @htmagazinetv, @colorvisionc9,
@auramusicrd, @team_techy, @paolamunnigh, @chasanmiguel,
@lissyvalerio, and @josiasortizg.
The most commonly used hashtags related to this topic are:
#htmagazine, #restes, #fromage, #fort, #hospitality,
#yoveocolorvision, #htrest, #viande, #antigaspi, #mobile
Maps and reports for a range of dining and hospitality topics will be presented at the MURTEC training session.
The social media landscape is complex. Social media network analysis makes it easier to understand and navigate social media.
Using the NodeXL social media network analysis add-in for Excel from the Social Media Research Foundation, I have made a large collection of network visualizations and reports, many of which can be seen in the NodeXL Graph Gallery.
Now that I have seen many social media network maps I observe that marketers are often interested in building “broadcast” network patterns. This is one of the six basic social media network patterns documented in the recent Pew Research Internet Project report about Mapping Twitter Topic Networks.
There are at least three phases of possible success for a social media marketing effort: phase 1, you get an audience of people who will retweet what you post. Phase 2, some of your audience gets its own audience for the content they repost from you. Phase 3, a dense web of relationships emerges, a community of relationships. This is a desirable phase because it sustains the conversation event when new messages from the brand account are not created.
Upcoming events, lectures and workshops related to NodeXL:
September 20, 2013:
School of Journalism, College of Communication, University of Texas – Austin
September 26-27, 2013
Universidad Externado, Bogota, Columbia
Kredible.Net workshop, Stanford University, CA http://kredible.net/in/
October 24th, 2013:
Arizona State University
December 12 – 14 , 2013
DISC2013 International Conference on Social Network Analsysis in Daegu, South Korea – http://bit.ly/17LtWlo
Here are recent Twitter social media networks that mention baseball related topics.
Sports teams have several “broadcast” structures in them as well as dense community groups with a small group of isolates – the island users who do not connect to anyone and who often indicate a brand or public topic. The names of baseball teams create networks that have a remarkably high density.
#redsox |
#yankees |
|
|
|
|
attpark |
#braves |
|
|
|
|
9th inning |
#dodgers |
|
|
|
|
#bluejays |
#mlb |
|
|
|
|
#SFGiants |
The Jive World 11 conference took place October 4-6, 2011.
[flickr id=”6234653454″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
These are the connections among the Twitter users who recently tweeted the word #JW11 when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
See: www.jivesoftware.com/jiveworld
A larger version of the image is here: www.flickr.com/photos/marc_smith/6234653454/sizes/l/in/ph…
Top most between users:
@jivesoftware
@gialyons
@mikefraietta
@cflanagan
@cosmopolitan_lv
@ginorossi
@kristinhersant
@thebrandbuilder
@alanlepo
@mor_trisha
Graph Metric: Value
Graph Type: Directed
Vertices: 345
Unique Edges: 3606
Edges With Duplicates: 2072
Total Edges: 5678
Self-Loops: 632
Connected Components: 11
Single-Vertex Connected Components: 9
Maximum Vertices in a Connected Component: 334
Maximum Edges in a Connected Component: 5659
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.353001
Graph Density: 0.034184361
NodeXL Version: 1.0.1.179
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
The Association of Internet Researchers conference is occurring now in Seattle, Washington.
[flickr id=”6233561108″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
These are the connections among the Twitter users who recently tweeted the word AOIR when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
See: ir12.aoir.org/
Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko
Graph Metric: Value
Graph Type: Directed
Vertices: 98
Unique Edges: 119
Edges With Duplicates: 672
Total Edges: 791
Self-Loops: 153
Connected Components: 40
Single-Vertex Connected Components: 35
Maximum Vertices in a Connected Component: 55
Maximum Edges in a Connected Component: 710
Maximum Geodesic Distance (Diameter): 6
Average Geodesic Distance: 2.257477
Graph Density: 0.035766884
NodeXL Version: 1.0.1.179
By expanding the query to include #IR12, the conference hashtag, the network expands to include:
[flickr id=”6234691231″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
Connections among the Twitter users who recently tweeted the word AOIR OR #IR12 when queried on October 11, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
Top most between users:
@ir12
@barrywellman
@mikemonello
@netcrit
@andresmh
@s_t_e_v_e_jones
@zizip
@kellybergstrom
@katypearce
@guillaumelatzko
Graph Metric: Value
Graph Type: Directed
Vertices: 231
Unique Edges: 1984
Edges With Duplicates: 2118
Total Edges: 4102
Self-Loops: 586
Connected Components: 46
Single-Vertex Connected Components: 40
Maximum Vertices in a Connected Component: 181
Maximum Edges in a Connected Component: 4012
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.213887
Graph Density: 0.046320346
NodeXL Version: 1.0.1.179
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
#occupywallstreet continues to be an active topic of social media traffic.
Here is the updated map of connections among people who recently tweeted #occupywallstreet:
[flickr id=”6232030871″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
[flickr id=”6232550608″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
These are the connections among the Twitter users who recently tweeted the word OccupyWallStreet when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
See: occupywallst.org/
A larger version of the image is here: www.flickr.com/photos/marc_smith/6232030871/sizes/l/in/ph…
Top most between users:
@ajenglish
@anonymousirc
@cnbc
@rawstory
@ryannewyork
@mediabistro
@blogdiva
@brentnhunter
@krenner2
@rebuilddream
Graph Metric: Value
Graph Type: Directed
Vertices: 1000
Unique Edges: 3014
Edges With Duplicates: 720
Total Edges: 3734
Self-Loops: 994
Connected Components: 318
Single-Vertex Connected Components: 300
Maximum Vertices in a Connected Component: 664
Maximum Edges in a Connected Component: 3326
Maximum Geodesic Distance (Diameter): 9
Average Geodesic Distance: 3.508133
Graph Density: 0.002524525
NodeXL Version1.0.1.179
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/