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Session

February 27, 2015 – Napa Area NodeXL Meetup – North Bay Networkers!

10FebMay 7, 2015 By Marc Smith

2015-Embassy Suites -NodeXL Meetup

Hello North Bay Area network analysis fans!

Join the NodeXL users meetup at the Napa Embassy Suites hotel (1075 California Boulevard, Napa, California, 94559, USA) on the 27th of February at 6pm.

Meet other network, social network, and social media network researchers and practitioners.

Hear about the latest and upcoming updates in the free and open NodeXL application.

Connect to the NodeXL network! Please RSVP using the form below:

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Posted in 2015, All posts, Connected Action, Foundation, Measuring social media, NodeXL, Presentation, Session, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Training, Visualization, Workshop Tagged 2015, Analysis, Analytics, Connected Action, Foundation, Meeting, Napa, network, NodeXL, Research, SMRF, SNA, Social Media, Social Meida Research Foundation, User Group, Users

March 30-31, 2015 – Predictive Analytics World San Francisco – Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL

04FebMay 7, 2015 By Marc Smith

2015-PAWCON-Workshop-Big Data - Marc Smith

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.

http://www.predictiveanalyticsworld.com/sanfrancisco/2015/agenda.php#day1-1120b
11:20am-12:05pm

Track 2: Social Data
Think Link: Connecting to the Power of Social Networks with no Programing with NodeXL

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.

Posted in 2015, All posts, Conference, Connected Action, Foundation, Industry, Measuring social media, Metrics, NodeXL, PAWCON: Predictive Analytics World, Presentation, Research, Session, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talks, Training, Visualization, Workshop Tagged 2015, Analytics, Big Data, Bigdata, Conference, Event, Lecture, Marc Smith, Media, network, NodeXL, PAWCON, Predictive, San Francisco, SNA, social, Social Media, socialmedia, Talk, Training

VIDEO: SNA for fundraising and development webinar hosted by the Prospect Research Institute

05JunMay 7, 2015 By Marc Smith

I participated in a webinar hosted by the Prospect Research Institute.  We discussed the ways that NodeXL can simplify the task of collecting social media and social network data.  The tool generates easy to understand reports that highlight insights into connected structures.

The slides associated with the talk can be found here:

2014 TheNextWeb-Mapping connections with NodeXL from Marc Smith

Analyzing Social Media Networks with NodeXL: Insights from a Connected World

Posted in 2014, All posts, Foundation, Measuring social media, Metrics, NodeXL, Presentation, Session, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Training, Video, Visualization, Workshop Tagged Chart, graph, Influence, Map, network, NodeXL, Prospect Research, Prospect Research Institute, SNA, Structure, Video

May 19-23, 2014: International Conference on Collaboration Technologies and Systems, Minneapolis, Minnesota

11MarMay 7, 2015 By Marc Smith
2014-CTS-Minneapolis Logo
Third International Symposium on
Collaboration, Social Computing, New Media and Networks
(SoMNet 2014)
Call for
Papers and Participation
As part of the
2014 International Conference on Collaboration Technologies and Systems
(CTS 2014)
May 19-23, 2014
The Commons Hotel
Minneapolis, Minnesota, USA
In Cooperation with
ACM, IEEE, and IFIP

 

Posted in 2014, All posts, Conference, CTS, Data Mining, Foundation, Measuring social media, Metrics, NodeXL, Research, Session, SMRF, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Talk, Talks, Training, Visualization, Workshop Tagged 2014, Conference, CTS, IEEE, Marc Smith, May, Minneapolis, SMRF, Social Media, Social Media Research Foundation, workshop

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

06MarMay 7, 2015 By Marc Smith

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.

Posted in 2014, All posts, April, Collective Action, Common Goods, Conference, Measuring social media, Metrics, NodeXL, Presentation, Research, Session, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Sociology, Talk, Talks, Training, Visualization, Workshop Tagged 2014, Behavioral Modeling, Conference, Event, NodeXL, Prediction, SBP2014, SNA, social, Social Computing, Social network, Tutorial

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

06MarMay 7, 2015 By Marc Smith

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

Posted in 2014, All posts, Conference, Foundation, Measuring social media, Metrics, NodeXL, Pew Internet, Presentation, Research, Session, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Roles, Social Theories and concepts, Sociology, Talks, Visualization Tagged 2014, April, Big Data, Chart, Federal, graph, Map, Marc Smith, network, NodeXL, SNA, Social network, Visualization

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Book: Analyzing Social Media Networks with NodeXL: Insights from a connected world

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Recent Posts

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  • Book: Transparency in Social Media Edited by Sorin Matei, Martha Russell and Elisa Bertino – with a chapter on NodeXL
  • June 5, 2015: Personal Democracy Forum – Talk on taking pictures of virtual crowds
  • Trust issues and Excel: how to open other people’s NodeXL documents
  • May 1st, 2015 at LSU: NodeXL social media networks talk at the “Telling Stories and Using Visuals for Coastal Environmental Communication” workshop

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Transparency in Social Media

2015-07-30-Transparency in Social Media-Structures of Twitter Crowds and COnversations
Transparency in Social Media
Sorin Adam Matei, Martha G. Russell, Elisa Bertino

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES: Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)

Apply NodeXL in espanol!

CÓMO ENCONTRAR LOS HASHTAGS MÁS POTENTES - Para convertir LEADS a VENTAS (SEOHashtag nº 1) (Spanish Edition)
By: Vivian Francos from #SEOHashtag Comparto algunas de las mejores formas de elegir los hashtags más poderosos y
que puedan generar tráfico a tus redes sociales para aprovechar el poder del
hashtag.
Si quieres aumentar tus interacciones, debes aprender a utilizar los hashtags como herramienta.

https://amzn.to/305Hpsv

Networked


Networked By Lee Rainie and Barry Wellman

Social Media in the Public Sector

2015-07-31Social Media in the Public Sector-Cover
Ines Mergel

Ways of Knowing in HCI

2014-Ways of Knowing in HCI - Olson and Kellogg

The Virtual Community


Virtual Community

The Evolution of Cooperation


The Evolution of Cooperation

Governing the Commons


Governing the Commons

SmartMobs


SmartMobs

Networks, Crowds, and Markets


Networks, Crowds, and Markets

Development of Social Network Analysis


Development of Social Network Analysis: A Study in the Sociology of Science

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