Connected Action

Sociology and the Internet, Social Media, Networks and Mobile Social Software

April 4, 2014 Washington DC NodeXL User Group Meetup at 1776DC

March 7th, 2014 by Marc Smith · No Comments

I am happy to announce a Washington, D.C. NodeXL user group meeting.

April 4th, 2014 at 2pm through 5pm (followed by an informal local dinner).

We will be meeting at:

2013-1776Logo

 http://1776dc.com/
1133 15TH ST. NW
12th floor
Washington, DC 20005
There will be a 3 hour Q&A and 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.

Bring your SNA, social media, social network, and NodeXL questions along with sample data sets!

Come hear about NodeXL features that make automating network data collection, analysis, visualization and publication simple and easy.  Get daily reports on the social networks that matter to you!

I will talk about the upcoming features releasing in NodeXL (auto update, new layouts, better importers for Twitter, Facebook, Wikis, and more) and take your requests.

If you would like to attend please complete this form:

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April 2-4, 2014 Social Computing, Behavioral Modeling and Prediction Conference in Washington D.C.

March 6th, 2014 by Marc Smith · No Comments

2014-SBP Conf_logo

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
UCDC Center
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.

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April 1, 2014 – NodeXL SNA of social media talk at Federal Big Data Working Group

March 6th, 2014 by Marc Smith · No Comments

2014-Federal Big Data Working Group-Banner

I will present a talk about social media network at the April 1st Federal Big Data Working Group at 6:30pm.

Talk details are on the SemanticCommunity.info site.

The Federal Big Data Working Group supports the Federal Big Data Initiative and the Federal Digital Government Strategy.

See: http://www.meetup.com/Federal-Big-Data-Working-Group/

The talk will focus on the easy to follow steps needed to create social media network maps and reports automatically from services like Twitter, Facebook, YouTube, Flickr, email, blogs, wikis, and the WWW.  Here is a sample network map of the term #bigdataprivacy:

The graph represents a network of 248 Twitter users whose recent tweets contained “#bigdataprivacy”, or who were replied to or mentioned in those tweets. The tweets in the network were tweeted over the 6-day, 10-hour, 29-minute period from Tuesday, 25 February 2014 at 14:36 UTC to Tuesday, 04 March 2014 at 01:06 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’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:
@whitehouseostp, @mit, @mit_csail, @steve_lockstep, @aureliepols, @dbarthjones, @digiphile, @stannenb, @djweitzner, @mikaelf

Top URLs in Tweet in Entire Graph:
http://web.mit.edu/bigdata-priv/webcast.html
http://www.commerce.gov/news/secretary-speeches/2014/03/03/us-secretary-commerce-penny-pritzker-delivers-remarks-mit
http://web.mit.edu/bigdata-priv/agenda.html
http://www.whitehouse.gov/blog/2014/02/24/privacy-workshop-explore-big-data-opportunities-challenges
http://www.nytimes.com/glogin?mobile=1&URI=http%3A%2F%2Fmobile.nytimes.com%2F2014%2F03%2F03%2Ftechnology%2Fwhen-start-ups-dont-lock-the-doors.html
http://www.techrepublic.com/article/privacy-concerns-about-data-collection-may-lead-to-dumbing-down-smart-devices/
http://m.technologyreview.com/news/525131/intel-designs-a-safe-meeting-place-for-private-data/
http://thedatamap.org
http://www.foreignaffairs.com/articles/140741/craig-mundie/privacy-pragmatism
http://www.cs.ucdavis.edu/~franklin/ecs289/2010/dwork_2008.pdf

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Podcast: Social Media Clarity S01E13: Howard Rheingold talks about social media literacy

March 6th, 2014 by Marc Smith · No Comments

2014-Social Media Clarity - Hosts

In the latest Social Media Clarity podcast, hosts Randy Farmer (@frandallfarmer) and Scott Moore (@scottmoore) and  I (@marc_smith) interview Howard Rheingold (@hrheingold) about his work on network literacy.

Howard-in-Tokyo

Download this MP3


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→ No CommentsTags: 2014 · Podcast · Politics · Research · Social Interaction · Social Media · Social Media Clarity · Sociology · Talk · Talks · Technology

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March 18th, 2014 – Business SNA Talk at Consortium for Service Innovation Annual Member Summit at Rancho Bernardo Inn in San Diego

March 6th, 2014 by Marc Smith · No Comments

2014-Consortium for Service Innovation -Member Summit-Banner

Consortium for Service Innovation Annual Member Summit

Date/Time
Location
Mon, Mar 17 – Wed, Mar 19, 2014 9:00 am – 5:00 pm
San Diego, CA Rancho Bernardo Inn 17550 Bernardo Oaks Drive San Diego, CA

I will attend and speak at the Consortium for Service Innovation Annual Member Summit at Rancho Bernardo Inn in San Diego on March 18th and 19th. There will be several workshops on emerging methodologies, tools, and techniques to understand and continuously improve the customer experience and reinforce brand messages.  Talks and speakers include:

I will be running hands-on workshops on Tuesday working with NodeXL to map company and market topics.  Wednesday is a basic overview of networks, social networks, social media networks.  I will talk about the value of networks for businesses.  The network perspective makes it easy to recognize that the same number of people can organize themselves into a variety of connected structures and that some structures are better than others for various purposes.

An example is the map of the connections among the people who tweeted about Consortium member Sage North America.

Details…

2014-Consortium for Service Innovation -Logo

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March 17, 2014 Predictive Analytics World – San Francisco: Think Link! Network Insights with No Programming Skills

March 5th, 2014 by Marc Smith · No Comments

2014-PAWCON_logo

I will present a workshop at Predictive Analytics World in San Francisco on March 17, 2014.

Track 1: Social Media Analysis
Think Link! Network Insights with No Programming Skills

Networks are everywhere but collecting, analyzing, visualizing, and gaining insights into connected structures can require advanced technical skills. This session presents a free, easy-to-use tool for network analysis that builds on the familiar Excel spreadsheet called NodeXL. If you can make a pie chart, you can get insights into networks. The tool makes it easy to collect data from a range of social media (Twitter, Facebook, YouTube, etc.). Quickly create visualizations and reports on the shape of connected groups. Identify the key people, groups and topics in a community. Network analysis can reveal the hidden structures in streams of interactions.

2014-PAW SF Badge

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March 16, 2014: PAWCON Workshop: The Big Picture on Big Data: Proven Methods You Need to Extract Big Value

March 5th, 2014 by Marc Smith · No Comments

2014-PAWCON_logo

I will present a workshop at Predictive Analytics World in San Francisco on March 16, 2014.

2014-PAWCON-Workshop-BigData Big Picture-Marc Smith

Workshop: The Big Picture on Big Data: Proven Methods You Need to Extract Big Value

Date and Time: Sunday, March 16, 2014, Full day: 9:00Am – 4:30pm

Intended Audience: Managers, decision makers, practitioners, and professionals interested in a broad overview and introduction

Knowledge Level: All levels

Attendees will receive an electronic copy of the course notes and materials.

Workshop Description

“Big Data” is everywhere.  The topic is impacting every industry and institution.   Big excitement about big data comes from the intersection of dramatic increases in computing power and data storage with growing streams of data coming from almost every person and process on Earth.  The pressing question is, how do we best make value of all this data – what should we do with it?

Working with big data effectively depends on understanding the sources of data and the issues in storing and analyzing it:

  • Where does big data come from?
  • How do you manage, store, and compute on big data?
  • What qualifies as “big”?

This one day workshop reviews major big data success stories that have transformed businesses and created new markets.

Dr. Smith will cover these revealing stories in order to illustrate the key concepts, tools, and value-proven applications driving the big data revolution.

“Big data” is a open buzzword – it could be defined as any amount of data you can’t afford to handle - but the big, newfound value achieved by computing at scale is no fad.

What you will learn:

  • Where does big data come from: Common sources of big data.
  • What makes data big: Velocity, Variety, and Volume!
  • How can we leverage it: Open tools and platforms for storing and analyzing big data.
  • The new paradigm: Today’s shift from hypothesis testing to a broad exploration for correlations is a revolutionary change in the way data is explored.
  • Best practices for analyzing big data: Key methods in data science, predictive analytics, and text analytics to analytically learn from data.
  • Social Data: Finding key connections in webs of people and events.
  • Applications of big data insights to business.
  • Future directions in big data: bigger, bolder, and better.

Schedule:

Workshop starts at 9:00am
First AM Break from 10:00 – 10:15am
Second AM Break from 11:15 – 11:30am
Lunch from 12:30 – 1:15pm
First PM Break: 2:00 – 2:15pm
Second PM Break: 3:15 – 3:30pm
Workshops ends at 4:30pm

 2014-PAW SF Badge

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Podcast: Social Media Clarity S01E12: Listener question – best sources for social media insights?

March 5th, 2014 by Marc Smith · No Comments

2014-Social Media Clarity - Hosts

In the latest Social Media Clarity podcast hosts Randy Farmer (@frandallfarmer), Scott Moore (@scottmoore) and I (@marc_smith) respond to our first listener question from Ryan Crowe (@doctorcrowe) of Twilio who asks:

“Where do you guys read about social media? Do you have different resources for different aspects, for example community management, building a proper network, contact research, etc.?”

The resources I use to keep up to date on social media management issues that I mention in the podcast include:

Sunbelt Conference – International Network for Social Network Analysts annual meeting
Strata Conference – O’Reilly conference on Big Data
ICWSM, the International Conference on Web Blogs and Social Media
Duncan Watts – Sociologist and social media network researcher at Microsoft Research

Hear the rest from Scott and Randy on the podcast or read the transcript.

Download this MP3


Subscribe to the Social Media Podcast:
Subscribe via iTunes
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Listen on Stitcher
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RADIO WVXU Cincinnati – Ann Thompson How millions of tweets boil down to six types of conversations

March 5th, 2014 by Marc Smith · No Comments

20140305-WVXU-Cincinnati-Pew-SMRF-6 Kinds of Twitter networks

RADIO WVXU CincinnatiAnn Thompson interviews Marc Smith about the recent publication of a report on social media networks in Twitter co-authored with the Pew Internet Research Center.

How millions of tweets boil down to six types of conversations

http://bit.ly/1eXt6IV  #NodeXL #SMRF #Pew #Network

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Social media network maps and reports covered in the press

March 5th, 2014 by Marc Smith · No Comments


Coverage of our report on the six basic types of social media network structures created with the Pew Internet Research Center has been extensive. Here is a round up of the articles we have found about the study.

20140314-OnTheMedia-Twitter Cartography-Lee Rainie

Lee Rainie, director of the Pew Internet Research Center was interviewed by Bob Garfield on OnTheMedia.


20140220-WaPo-Pew-SMRF-6 Kinds of Twitter networks

Washington Post: The six types of conversations on Twitter


20140220-SFGate-Pew-SMRF-6 Kinds of Twitter networks

San Francisco Chronicle: The six ways we interact on Twitter


20140305-WVXU-Cincinnati-Pew-SMRF-6 Kinds of Twitter networks

RADIO WVXU Cincinnati – Ann Thompson


20140228-MyFoxNY-Pew-SMRF-6 Kinds of Twitter networks

Fox News New York

 


20140220-AJAM-Pew-SMRF-6 Kinds of Twitter networks

Al Jazeera: Study maps Twitter’s information ecosystem

 


20140220-PBS Newshour Rundown-Pew-SMRF-6 Kinds of Twitter networks

PBS NewsHour: Study uncovers six basic types of Twitter conversations

 


20140220-DesMoines Register-Pew-SMRF-6 Kinds of Twitter networks

Des Moines Register: Twitter talk fits into 6 patterns, study finds

 


20140228-USAToday-Pew-SMRF-6 Kinds of Twitter networks

USAToday: Twitter talk fits into 6 patterns, study finds

 


20140220-NBCNews-Pew-SMRF-6 Kinds of Twitter networks

NBC: Liberals, Conservatives Tweet in Partisan Bubbles, Study Says

 


20140220-CNet-Pew-SMRF-6 Kinds of Twitter networks

CNET: Red state, blue state? On Twitter, never the twain shall meet

 


20140220-Time Entertainment-Pew-SMRF-6 Kinds of Twitter networks

TIME: Who Are TV’s Biggest Fans? New Research Names Twitter Users With the Most Influence

 


20140220-Quartz-Pew-SMRF-6 Kinds of Twitter networks

Quartz: Turns out Twitter is even more politically polarized than you thought

 


20140220-Forbes-Pew-SMRF-6 Kinds of Twitter networks

Forbes: These Charts Show Why Political Debate On Twitter Is Pointless

 


20140220-VatorNews-Pew-SMRF-6 Kinds of Twitter networks

Vator: Pew report: how we communicate on Twitter

 


20140220-GlobalNews CA-Pew-SMRF-6 Kinds of Twitter networks

Global News Canada: Study reveals six different types of conversations on Twitter

 


20140220-LiveScience-Pew-SMRF-6 Kinds of Twitter networks

Live Science: The 6 types of Twitter conversations revealed

 


20140220-SeattlePI-Pew-SMRF-6 Kinds of Twitter networks

Seattle PI: The six ways we interact on Twitter

 


20140220-AP-Pew-SMRF-6 Kinds of Twitter networks

Associated Press: Pew maps Twitter chatter in new type of study, finds 6 types of conversations

 


20140220-Redeye-Pew-SMRF-6 Kinds of Twitter networks

Chicago Tribune: The 5 cliques of Twitter

 


20140220-Mashable-Pew-SMRF-6 Kinds of Twitter networks

Mashable: Your Twitter Conversations Fall Into One of These Six Categories

 


20140220-PCMag-Pew-SMRF-6 Kinds of Twitter networks

PC Magazine: Which Type of Twitter Conversationalist Are You? In a recent report, Pew Researchers explain the six regularly observed types of conversation on Twitter

 


20140220-NPR-Pew-SMRF-6 Kinds of Twitter networks

NPR: Study: Conservatives And Liberals Rarely Debate On Twitter


20140220-DailyMail-Pew-SMRF-6 Kinds of Twitter networks

Daily Mail: What type of tweeter are you? Researchers reveal there are just SIX types of tweet

 


20140220-Diamondback-UMD-Pew-SMRF-6 Kinds of Twitter networks

The Diamond Back: Professor helps map social media connections

 


20140228-Forbes-Pew-SMRF-6 Kinds of Twitter networks

Your Social Media Conversation Is Like A Topographic Map

 


20140228-MediaPost-Pew-SMRF-6 Kinds of Twitter networks

Media Post

 


20140228-Politico-Pew-SMRF-6 Kinds of Twitter networks

Politico: How Twitter Works

 


20140228-UMD-Pew-SMRF-6 Kinds of Twitter networks

University of Maryland: New Map of Twitterverse finds 6 types of networks

 


20140228-UGA-Pew-SMRF-6 Kinds of Twitter networks

University of Georgia


2014-GovTech-6 Kinds of social media networks

GovTech


20140228-WiredIT-Pew-SMRF-6 Kinds of Twitter networks

Wired.IT


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