NodeXL team member Dr. Cody Dunne recenjtly presented these slides at the 2013 Boston DataSwap on Network Visualization in NodeXL
http://slidesha.re/1a5tbCY
Boston
September 30-October 4, 2012 Predictive Analytics World – Boston
I will keynote at the Predictive Analytics World event in Boston which will be held September 30-October 4th, 2012.
The event has grown along with the importance of big data, analytics, BI, and data visualization.
I will speak about the ways social media networks can be collected and analyzer to reveal the key people, groups and topics relevant to a topical population.
Title: Charting Collections of Connections in Social Media: Creating Maps and Measures with NodeXL
Networks are a data structure common found across all social media services that allow populations to author collections of connections. The Social Media Research Foundation’s NodeXL project makes analysis of social media networks accessible to most users of the Excel spreadsheet application. With NodeXL, Networks become as easy to create as pie charts. Applying the tool to a range of social media networks has already revealed the variations present in online social spaces. A review of the tool and images of Twitter, flickr, YouTube, and email networks will be presented.
We now live in a sea of tweets, posts, blogs, and updates coming from a significant fraction of the people in the connected world. Our personal and professional relationships are now made up as much of texts, emails, phone calls, photos, videos, documents, slides, and game play as by face-to-face interactions. Social media can be a bewildering stream of comments, a daunting fire hose of content. With better tools and a few key concepts from the social sciences, the social media swarm of favorites, comments, tags, likes, ratings, and links can be brought into clearer focus to reveal key people, topics and sub-communities. As more social interactions move through machine-readable data sets new insights and illustrations of human relationships and organizations become possible. But new forms of data require new tools to collect, analyze, and communicate insights.
October 9-11, 2011: IEEE 2011 Social Computing, Boston: NodeXL Paper on “Group-in-a-box” layouts
This year the IEEE Social Computing conference is being held in Boston, October 9-11, 2011.
The NodeXL team from the Social Media Research Foundation have a paper on our newest layout feature in NodeXL: Group-in-a-box.
Abstract: Communities in social networks emerge from interactions among individuals and can be analyzed through a combination of clustering and graph layout algorithms. These approaches result in 2D or 3D visualizations of clustered graphs, with groups of vertices representing individuals that form a community. However, in many instances the vertices have attributes that divide individuals into distinct categories such as gender, profession, geographic location, and similar. It is often important to investigate what categories of individuals comprise each community and vice-versa, how the community structures associate the individuals from the same category. Currently, there are no effective methods for analyzing both the community structure and the category-based partitions of social graphs. We propose Group-In-a-Box (GIB), a metalayout for clustered graphs that enables multi-faceted analysis of networks. It uses the treemap space filling technique to display each graph cluster or category group within its own box, sized according to the number of vertices therein. GIB optimizes visualization of the network sub-graphs, providing a semantic substrate for category-based and cluster-based partitions of social graphs. We illustrate the application of GIB to multi-faceted analysis of real social networks and discuss desirable properties of GIB using synthetic datasets.
The paper is authored by:
Eduarda Mendes Rodrigues*, Natasa Milic-Frayling†, Marc Smith‡, Ben Shneiderman§, Derek Hansen¶
* Dept. of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal – eduardamr @ acm.org
† Microsoft Research, Cambridge, UK -natasamf @ microsoft.com
‡ Connected Action Consulting Group, Belmont, California, USA – marc @ connectedaction.net
§ Dept. of Computer Science & Human-Computer Interaction Lab, University of Maryland, College Park, Maryland, USA – ben @ cs.umd.edu
¶ College of Information Studies, University of Maryland, College Park, Maryland – dlhansen @ umd.edu
A map of the connections among the people who recently tweeted #SocialCom2011:
[flickr id=”6232130442″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
[flickr id=”6232129770″ thumbnail=”medium” overlay=”true” size=”large” group=”” align=”none”]
Connections among the Twitter users who recently tweeted the word #socialcom2011 when queried on October 10, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
Layout using the “Group Layout” composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A larger version of the image is here: www.flickr.com/photos/marc_smith/6232130442/sizes/l/in/ph…
Top most between users:
@danielequercia
@gadgetman4u
@bkeegan
@shaunlawson
@maryheston
@mmiiina
@ronaldomenezes
@theshadowhost
@fergal_reid
@cosleydr
Graph Metric: Value
Graph Type: Directed
Vertices: 36
Unique Edges: 119
Edges With Duplicates: 155
Total Edges: 274
Self-Loops: 105
Connected Components: 2
Single-Vertex Connected Components: 1
Maximum Vertices in a Connected Component: 35
Maximum Edges in a Connected Component: 273
Maximum Geodesic Distance (Diameter): 5
Average Geodesic Distance: 2.174551
Graph Density: 0.107936508
NodeXL Version: 1.0.1.179
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/
Mapping #e2 OR #e2conf connections in Twitter with NodeXL
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.
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.
A closer look at the graph alone can reveal enough detail to read the names of these central participants.
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.
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
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.
Conference: Enterprise 2.0 in Boston, June 22-25
The upcoming Enterprise 2.0 conference in Boston June 22-25 features several presentations of possible interest. George Dearing and I will both be on panels and, centrally, there is a presentation from Telligent co-founder Rob Howard about what is new at Telligent Systems:
Enterprise 2.0: Work, Productivity and ROI Today’s ever-changing workforce requires that enterprises tackle an array of shifting demands. Adapting to the various ways people collaborate and work together without actually being in the same place is now an organizational necessity, not just an option. Join us for this informative session as Rob Howard, Founder of Telligent and an innovator of online collaboration strategies, presents Enterprise 2.0 and social computing in the context of work, productivity and ROI. Enterprises that have embraced collaborative computing and analytics are realizing results in increased workforce productivity, expanded input and insight from customers and partners, and now have the ability to manage and report on the value of these efforts. Join us for this session and walk away understanding how you can prepare today for the future of work.
Speaker – Rob Howard, Co-Founder, Telligent
George Dearing from Telligent and I will both be on additional panels at the conference. I am looking forward to the chance to present along with Kate Niederhoffer from Dachis again; we presented at Web 2.0 on the topic of “Beyond Buzz: On Measuring a Conversation” which I think was well received. Details below: