2014 INSNA Sunbelt SNA Conference: February 18-23 – St. Petersburg, Florida

03FebMay 7, 2015 By Marc Smith

The INSNA Sunbelt social network conference will be held February 18-23 at the TradeWinds Island Resort on the island of St. Pete Beach.

There will be NodeXL related talks at the conference.

NodeXL: Network Analysis Made Simple
Tuesday February 18, 8:00am – 11:00am & 11:30am – 2:30pm

Marc Smith, Social Media Research Foundation
CITRUS Ballroom

Twitter Conversations as Network Structures: Typology and Measurements
Saturday February 22,

Itai Himelboim, Marc Smith, Ben Shneiderman, Lee Rainie

The conference schedule is available.

I hope to see you at the conference!

StrataConf 2014 – February 11-13, Santa Clara – Network Science Made Simple: SNA for pie chart makers

03FebMay 7, 2015 By Marc Smith

I will present at the 2014 Strata Conference in Santa Clara, CA on February 11, 2013.

Network Science Made Simple: SNA for pie chart makers

Marc Smith (Connected Action Consulting Group)

2:20pm Wednesday, 02/12/2014

Data Science
Ballroom ABNetworks are everywhere, particularly in social media. Understanding networks can quickly reveal the key people, groups, and topics that matter most. But the tools to collect, analyze, visualize, and gain insights into connected structures have remained complex. Now the free and open NodeXL application makes network analysis tasks as easy as making a pie chart. The Network Overview Discovery and Exploration add-in for Excel (2007, 2010, 2013) extends the familiar spreadsheet, enabling users to easily access networks from a range of data sources including Facebook, YouTube, Twitter, Flickr, email, message boards, Wikis, blogs, and other repositories of connections. With simple automation tools, NodeXL users can calculate a range of network metrics, create a visualization, and generate a report highlighting key people, groups, and top URLs, hashtags, words and word pairs used in the discussion network. Network maps have revealed many of the hidden structures of social media, defining the major differences in the shapes and structures created as people link to one another.

I will also hold Office Hours at the event:

Office Hour with Marc Smith (Team NodeXL)

Marc Smith (Connected Action Consulting Group)
3:00pm Wednesday, 02/12/2014
Office Hour
Table A

If you have questions on social network analysis, meet with Marc to talk about:

NodeXL and related network analysis and visualization tools
How to collect, store, analyze, visualize, summarize and publish social network reports with just a few clicks (and no coding)
How to identify key influential people and subgroups within a conversation network
How to apply social network analysis to social media marketing
How to apply organizational network analysis to enterprise collaboration

Above is a map of the connections among the people who recently tweeted the term “strataconf” over the 7-day, 19-hour, 38-minute period from Sunday, 26 January 2014 at 21:53 UTC to Monday, 03 February 2014 at 17:32 UTC. The key people in the network at this point are:

@strataconf
@oreillymedia
@thedatacrunch
@dataiku
@alpinedatalabs
@sasanalytics
@zettaforce
@bigdata
@josemariasiota
@tibco

You can make these types of maps with just a few clicks using NodeXL.

I hope to see you in Santa Clara!

January 31, 2014 – Kansas State University – Webinar: Social Media Maps and Measures with NodeXL

16JanMay 7, 2015 By Marc Smith

I will present a remote seminar at Kansas State University – on Jan. 31 about how to create social media maps and measures with NodeXL.

The remote presentation will take place 1-2:30 p.m. (Central Time) Friday, Jan. 31, in 301 Hale Library. All are welcome to attend.

See: https://blogs.k-state.edu/it-news/2014/01/10/webinar-jan-31-charting-collections-of-connections-in-social-media-creating-maps-and-measures-with-nodexl/

This is a map of the network of 2,785 Twitter users whose recent tweets contained ““kansas state” OR KState” over the 1-day, 23-hour, 14-minute period from Monday, 13 January 2014 at 17:06 UTC to Wednesday, 15 January 2014 at 16:20 UTC.

S01E09 – Social Media Clarity Podcast – Prof. Paul Resnick on Incentive Centered Design

08JanMay 7, 2015 By Marc Smith

Ratings, Reputation and Incentive Design

The latest episode of the Social Media Clarity podcast features an interview with Dr. Paul Resnick from the University of Michigan. Dr. Resnick is a leading researcher in incentive based design – the study and development of tools like recommender and reputation systems. In this discussion we hear about what may be the impending limits of crowdsourcing: when the long tail is poisoned.

Download this MP3

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December 2, 2013: Social Media Clarity Podcast S01E07 – Live Streaming Video Game Play with TL Taylor and Jeffrey Shih

02DecMay 7, 2015 By Marc Smith

The 7th episode of the Social Media Clarity podcast is now out.
With big announcements from the game console companies, Live Streaming has been thrust into the mainstream. Join us as we discuss the phenomenon with a leading researcher and a full-time streamer.
We have two interviews this week: Author & Researcher T.L. Taylor and Live Streamer Jeffrey Shih aka Trumpsc on twitch.tv

T.L. Taylor

Live-streaming research
Raising the Stakes: E-Sports and the Professionalization of Computer Gaming
Play Between Worlds: Exploring Online Game Culture

Jeffrey Shih (Trump)

Hearthstone Arena with Trump – Welcome to Value Town!
@trumpsc
Hearthstone: Heroes of Warcraft

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December 12-14, 2013 – DISC2013 International Conference on Social Network Analysis in Daegu, South Korea

17NovMay 7, 2015 By Marc Smith

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I will speak this December 12-14 , 2013 at the DISC2013 International Conference on Social Network Analsysis at Yeungnam University in Daegu, South Korea – http://bit.ly/17LtWlo

My host is conference organizer Dr. Han Woo Park, director or the Webometrics Lab at Yeungnam University

After the conference I will travel to visit with other research groups in Korea focused on the study of social media. I will be traveling with a colleague, Dr. Jana Diesner, professor of information science at the University of Illinois at Urbana-Champaign.

Schedule for December:
12-14 Asia Triple Helix Forum
16 Workshop at POSTECH with Dr. Woo-Sung Jung
17 Talk at KAIST with Dr. Il-Chul Moon
18 Workshop at Treum, Meeting with Dr. Gihong Yi
19 Sogang University and KISTEP

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Social Media Clarity Podcast E05: Crowdsourcing, Volunteers, and the Sharing Economy

14OctMay 7, 2015 By Marc Smith

The 5th episode of the Social Media Clarity Podcast is now out:

Crowdsourcing, Volunteers, and the Sharing Economy

In this episode host Randy Farmer (@frandallfarmer) and I talk with new co-host Scott Moore (@scottmoore) about the promise and pitfalls of crowdsourcing.

We conclude that pixels, not pennies, may be the best currency to create incentives to create quality content.

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

Podcast: Social Media Clarity E04 – Social Media Influence is a Graph

30SepMay 7, 2015 By Marc Smith

Episode 4 of the Social Media Clarity podcast has just been released.

Influence is a graph

In this episode host Randy Farmer (@frandallfarmer) and I talk about how to think about social media influence in terms of a social network. Networks can be measured and a variety of patterns can be found in them that indicate the role or pattern of connections a person has.

We talk about why influence is not a single attribute, it is a more complex function of a person’s position within a web of relationships.

People play different roles in social media networks, we talk about three: hubs, bridges and islands. Each plays a different role in a social media network. Each has a different kind of influence.

Once these different roles are measured, people can be ranked in terms of their similarity to one or the other pattern. Highly ranked people can be influential” in terms of their different locations in a network.

In a related blog post, I suggest possible strategies for using network insights to drive a social media campaign: identify key people and their content to guide targeted relationship building. See:

How to build a collection of influential followers in Twitter using social network analysis and NodeXL