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.
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.
A new book edited by Wendy Kellogg and Judy Olson is now available. Ways of Knowing in HCI is a collection of chapters on the subject of methods and theories that frame Human Computer Interaction studies.
The chapter outline:
A Brief History of Social Network Analysis
Social Network Analysis and Human-Computer Interaction
Goals of Social Network Analysis for HCI Researchers and Practitioners
1) Inform the design and implementation of new CSCW systems
2) Understand and improve current CSCW systems
3) Evaluate impact of CSCW system on social relationships
4) Design novel CSCW systems and features using SNA methods
5) Answer fundamental social science questions
Social Network Analysis Questions
Questions about Individual Social Actors
Questions about Overall Network Structure
Questions about Network Dynamics and Flows
Performing Social Network Analysis
Identify Goals & Research Questions
Sources of Network Data
Types of Social Networks
Representing Network Data
Three ways of representing network data
How to Analyze and Visualize Data
Network Analysis Tools
Commonly Used Network Analysis and Visualization Tools
Node-Specific Metrics: Focusing on the Trees
Common Centrality Metrics
Aggregate Network Metrics: Focusing on the Forest
Common Aggregate Network Metrics
Network Clusters & Motifs: Focusing on the Thickets
Network Dynamics and Information Flow
What Constitutes Good Work
The talk will focus on free and open tools for creating network maps and reports that can illuminate the landscape of social media.
The graph represents a network of 633 Twitter users whose tweets in the requested date range contained “sqlpass”, or who were replied to or mentioned in those tweets. The tweets in the network were tweeted over the 15-day, 2-hour, 48-minute period from Tuesday, 25 February 2014 at 00:26 UTC to Wednesday, 12 March 2014 at 03:15 UTC.
There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
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.
Top 10 Vertices, Ranked by Betweenness Centrality:
Top URLs in Tweet in Entire Graph:
Top Hashtags in Tweet in Entire Graph:
I will present a tutorial on social media network analysis at the 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP14)
April 2 – April 4, 2014
Washington DC, USA
The 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP14) is a multidisciplinary conference with a single paper track and poster session. SBP invites a small number of high quality tutorials and nationally recognized keynote speakers.
The SBP conference provides a forum for researchers and practitioners from academia, industry, and government agencies to exchange ideas on current challenges in social computing, behavioral modeling and prediction, and on state-of-the-art methods and best practices being adopted to tackle these challenges. Interactive events at the conference are designed to promote cross-disciplinary contact.
Social Computing harnesses the power of computational methods to study social behavior within a social context. Behavioral Cultural modeling refers to representing behavior and culture in the abstract, and is a convenient and powerful way to conduct virtual experiments and scenario analysis. Both social computing and behavioral cultural modeling are techniques designed to achieve a better understanding of complex behaviors, patterns, and associated outcomes of interest. Moreover, these approaches are inherently interdisciplinary; subsystems and system components exist at multiple levels of analysis (i.e., “cells to societies”) and across multiple disciplines, from engineering and the computational sciences to the social and health sciences.
An interview with Chip Morningstar (and podcast hosts: Randy Farmer and Scott Moore) who created and ran the first MMOs/Virtual Worlds. This segment focuses on the emergent social phenomenon encountered the first time people used avatars with virtual currency, and artificial scarcity.
The 5th episode of the Social Media Clarity Podcast is now out:
We conclude that pixels, not pennies, may be the best currency to create incentives to create quality content.
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.
During August 21-24, 2012 Summer Social Webshop gathered 55 students and 20 speakers for a week of presentations, discussions, and collaboration around the study and application of social media to social good. Sponsored by the U.S. National Science Foundation, the Social Media Research Foundation, and Grand, the Webshop brings doctoral students in computer science, iSchool, sociology, communications, political science, anthropology, psychology, journalism, and related disciplines together for 4-days of intensive workshop on Technology-Mediated Social Participation (TMSP).
Technology-Mediated Social Participation includes social networking tools, blogs and microblogs, user-generated content sites, discussion groups, problem reporting, recommendation systems, and other social media applied to national priorities such as health, energy, education, disaster response, political participation, environmental protection, business innovation, or community safety.
During the 4-day workshop, students attended presentations from an interdisciplinary group of leaders in the field and engage in other research and community-building activities like working on short-term projects, sharing research plans, developing new research collaborations, learning relevant software, analysis methods and data collection tools, and meeting Federal policy makers.
Videos and slides from talks:
Photos from the event:
[flickrset id=”72157631177125858″ thumbnail=”thumbnail” photos=”” overlay=”true” size=”small”]
Interested in applying social network methods to better understand the structure of your business or organization?
- Self-paced e-learning (4 hours)
- Introduction to Social/Organisational Network Analysis
- Network patterns and metrics
- Software tools for network analysis
- Managing an ONA Project
- Module 1: Scoping your ONA Project (2 hour virtual session hosted by Patti Anklam)
- Determining which business problem to solve with ONA
- Review of case-studies
- Determining your questions
- Module 2: Setting up your ONA survey (2 hour virtual session hosted by Cai Kjaer / Laurence Lock Lee)
- Setting up your survey
- Working with mailing lists and other lists
- Creating relationship sets and network questions
- Previewing and launching the survey
- Tracking progress and downloading responses
- Module 3: Visualise networks with NodeXL (2 hour virtual session hosted by Marc Smith)
- Getting started with NodeXL
- Calculating and visualizing network metrics
- Preparing data and filtering
- Importing data from Social Media tools
- Clustering and grouping
A number of ONA Practitioner Courses are available to suit the timezones of participants located in the US, Europe and/or Asia-Pacific (but not restricted to these regions):
|Course Code||Date and Time||Time Zone||Payment|
|OPC-2012-13-APAC||27 March 2012 to 25 April 2012
(Registration deadline is 13 March 2012)Module 1: 11 April 2012 (11am – 1pm)
Module 2: 18 April 2012 (11am – 1pm)
Module 3: 25 April 2012 (11am – 1pm)
Self-paced to be completed before starting module 1.
|Asia-Pacific – Sydney EST||$US 1,599|
|OPC-2012-17-US||25 April 2012 to 22 May 2012
(Registration deadline is 11 April 2012)Module 1: 8 May 2012 (4 – 6pm)
Module 2: 15 May 2012 (4 – 6pm)
Module 3: 22 May 2012 (4 – 6pm)
Self-paced to be completed before starting module 1.
|Americas – New York EST||$US 1,599|