DC on Nov 13 at 8:30AM: IREX Social Network Analysis: Influence and Impact Beyond Likes and Retweets

05NovMay 7, 2015 By Marc Smith

I will participate in a workshop at IREX in Washington D.C. on November 13, 2013.

The workshop is titled Social Network Analysis: Influence and Impact Beyond Likes and Retweets. We will focus on the applications of social network analysis for development efforts, exploring how SNA can:

Create viral and influential advocacy and political campaigns
Find business and employment connections for entrepreneurs and youth
Identify hidden disease vectors and stop new infection pathways
Break circles of government corruption and graft
Target existing informal support resources for disaster response

The workshop will be facilitated by Wayan Vota along with three social network analysis researchers:

This Deep Dive will be an active event. We will mix thoughtful discussions with experiential activities, building social capital while we learn about social networks. Participants are encouraged to submit social media topics in advance so maps and reports can be generated for the event.

Note that this event is in-person only, so please RSVP now to attend.

How Social Network Analysis Can Improve Impact
IREX Tech Deep Dive
8:30am-12:30pm,
November 13th, 2013
IREX Headquarters
Washington, DC

November 13 at 6pm: Data Community DC Workshop on Analyzing Social Media Networks using NodeXL

05NovMay 7, 2015 By Marc Smith

I am excited to have the opportunity to present a NodeXL workshop at the DC Data Community on November 13th at 6pm in Washington, D.C.

In this session I will describe the ways NodeXL can simplify the process of collecting, storing, analyzing, visualizing and publishing reports about connected structures.

For example, this is a map of the connections among the people who recently tweeted about the DataCommunityDC Twitter account was created with just a few clicks and no coding:

This graph represents a network of 67 Twitter users whose recent tweets contained “DataCommunityDC“, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 05 November 2013 at 15:15 UTC.
The tweets in the network were tweeted over the 7-day, 16-hour, 4-minute period from Monday, 28 October 2013 at 22:38 UTC to Tuesday, 05 November 2013 at 14:42 UTC.
There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The network has been segmented into groups (“G1, G2, G3…”) and each group is labeled with the words most frequently used in the tweets from the people in that group.
The size of each Twitter user’s profile picture represents the log scaled value of their follower count.
Analysis of the network location of each participant reveals the people in key locations in the network, people at the “center” of the graph.

They are:

@datacommunitydc
@datafest2013
@gabosama
@harlanh
@mlh_holmes
@terebouza
@greglinch
@intridea
@gilpress
@katiestriff

The top URLs mentioned in this network were:

Continue reading →

October 24th, 2013: NodeXL Social Media Network Analysis Workshop at Arizona State University

13OctMay 7, 2015 By Marc Smith

I will speak about social media networks on October 24th, 2013 at the department of Computer Science at the Arizona State University.

The graph represents a network of 712 Twitter users whose recent tweets contained “@ASU”, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Sunday, 13 October 2013 at 19:56 UTC.

The tweets in the network were tweeted over the 4-day, 21-hour, 47-minute period from Tuesday, 08 October 2013 at 21:48 UTC to Sunday, 13 October 2013 at 19:35 UTC.

There is an edge for each “replies-to” relationship in a tweet. There is an edge for each “mentions” relationship in a tweet. There is a self-loop edge for each tweet that is not a “replies-to” or “mentions”.

The graph is directed.

The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on followers values. The vertex opacities are based on followers values

September 26-27, 2013: NodeXL Social Media Network Analysis Workshop at the Universidad Externado, Bogota, Colombia

15SepMay 7, 2015 By Marc Smith

September 26-27, 2013 at the Universidad Externado, Bogota, Colombia

I will participate in a workshop on social media network analysis at the Universidad Externado, Bogota, Colombia on September 26-27, 2013.

My host is Professor Hernando Rojas from the University of Wisconsin and the Universidad Externado.

Here is a map of the connections among the people who recently tweeted UExternado:

September 20, 2013 – NodeXL Workshop at the University of Texas, Austin School of Journalism

30AugMay 7, 2015 By Marc Smith

On September 20, 2013 I will participate in a workshop on social media network analysis at the Community, Journalism & Communication Research Center at the School of Journalism in the College of Communication at the University of Texas – Austin

The event will start Friday at 11:00AM at the BELO CENTER FOR NEW MEDIA. Bring data, questions and a copy of NodeXL for hands-on assistance.

The workshop will focus on the application of social network analysis to social media and the content exchanged through it.

The graph represents a network of 780 Twitter users whose recent tweets contained “@utaustin”, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 30 August 2013 at 18:22 UTC. The tweets in the network were tweeted over the 2-day, 3-hour, 55-minute period from Wednesday, 28 August 2013 at 14:25 UTC to Friday, 30 August 2013 at 18:20 UTC.

October 18, 2013 Kredible.Net NSF workshop at Stanford University – Study of reputation and social roles on social media

06AugMay 7, 2015 By Marc Smith

This October 18, 2013 an NSF funded workshop called Kredible.Net to be held at Stanford University will bring together researchers studying reputation and social roles in social media.

The workshop will help researchers investigate how social media, especially Wikipedia articles and editors, shape public knowledge. The project aims to build a research community and to propose a research agenda for the study of reputation and authority in informal knowledge markets, such as Wikipedia.

The team is lead by Sorin Adam Matei (PI) of Brian Lamb School of Communication, Elisa Bertino (Cyber Center), Michael Zhu and Chuanhai Liu (Department of Statistics) , and Luo Si (Department of Computer Science).

The KredibleNet project is supported by an international team of researchers including Marc Smith, director of the Social Media Research Foundation and the NodeXL project and by Dr. Luca De Alfaro, from University of California, Santa Cruz, the head of the WikiTrust project. The team also includes researchers Jure Leskovec (Stanford), Bernie Hogan (Oxford Internet Institute), and Ben Shneiderman (University of Maryland).

The KredibleNet grant will fund research and workshops that will reveal how social media leaders gain authority to shape public knowledge.

See: http://kredible.net/in/kredible-net-awarded-nsf-grant-to-study-reputation-and-social-roles-on-social-media/

Upcoming 2013 NodeXL / Social Media Network Analysis Training Events

23JulMay 7, 2015 By Marc Smith

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

October 19, 2013:

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

August 2, 2013: NodeXL Meetup in DC at 1776DC

09JulMay 7, 2015 By Marc Smith

Please join me in Washington, D.C. for a NodeXL and social media analysis meetup and happy hour from 2-7 pm.

We will be meeting at:

http://1776dc.com/

1133 15TH ST. NW
12th floor
Washington, DC 20005

There will be a 3 hour hands-on tutorial on the use of NodeXL and broadly on social media network analysis. We will focus on the process of collecting, storing, analyzing, visualizing, and sharing insights into social media network graphs.

Many thanks to Maksim Tsvetovat (@maksim2042) for arranging the location.

July 28 – August 1, 2013 – DSST (Digital Societies and Social Technologies) Summer Institute @ University of Maryland – NodeXL Training

11JunMay 7, 2015 By Marc Smith

July 28 – August 1, 2013
DSST 2013 Digital Societies and Social Technologies Summer Institute: NodeXL Training
University of Maryland — College Park, Maryland USA

I will be teaching a workshop on Thursday August 1st on using NodeXL for social media network analysis at the upcoming 2013 Digital Societies and Social Technologies Summer Institute at the University of Maryland. The Institute is devoted to training researchers in methods and theory that can help frame research into the social impacts of information technology:

MOOCs, Education and learning; personal health and well-being; open innovation, eScience, and citizen science; co-production, open source, and new forms of work; cultural heritage and information access; energy management and climate change; civic hacking, engagement and government; disaster response; cybersecurity and privacy – these are just a few problem domains where effective design and robust understanding of complex sociotechnical systems is critical. To meet these challenges a trans-disciplinary community of scholars has come together from fields as wide ranging as CSCW, HCI, social computing, organization studies, information visualization, social informatics, sociology, information systems, medical informatics, computer science, ICT for development, education, learning science, journalism, and political science.

For more information about the Summer Institute, contact the Summer Institute co-coordinators, Brian Butler (bsbutler@umd.edu) and Susan Winter (sjwinter@umd.edu). For information about the broader community of researchers interested in design and study of sociotechnical systems, see: CSST (www.sociotech.net), Social Webshop (http://www.cs.umd.edu/hcil/webshop2012/), the “Researchers of the Socio-Technical” Facebook group, or the CSST listserv (csst@listserv.syr.edu).

Here are the slides from my talk:

2013 NodeXL Social Media Network Analysis from Marc Smith

Upcoming talks: NodeXL and Social Media in San Francisco, Indiana, Chicago, San Diego and Kentucky

08MarMay 7, 2015 By Marc Smith

Here is a round up of the social media network analysis talks, workshops, and training events I will be doing in the coming months:

	June 3-7, 2013 Social Media Network Analysis Workshop at LINKS2013 University of Kentucky
	May 20-24, 2013 International Symposium on Collaboration, Social Computing, New Media & Networks (SoMNet) San Diego, CA.
	April 15th, 2013 Predictive Analytics World, Mapping Social Media to Predict Influence and Measure Propagation San Francisco, CA.
	April 12, 2013 PASS Business Analytics Conference: Mapping social media with NodeXL Chicago, IL.
	April 8 and 9, 2013 NSF workshop: Kredible.Net – Study reputation and social roles on social mediaPurdue University
	March 26, 2013 OCTribe – San Francisco Online Community Meetup – Mapping Social Media with NodeXL San Francisco, CA

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