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Data Analysis

April 12, 2013 PASS Business Analytics Conference: Mapping social media with NodeXL

06MarMay 7, 2015 By Marc Smith

 

 2013-PASSBAC Square   I will speak at the 2013 PASS Business Analytics Conference in Chicago on April 12, 2013.  The event focuses on data discovery, data exploration and visualization, predictive analytics, content management and architecture, collaboration, information strategies, and more.  I will speak about social media Data Analytics and Visualization in a presentation titled: Charting Collections of Social Media Connections with NodeXL. 
 network of 106 Twitter users whose recent tweets contained
This is a sample NodeXL graph that represents a network of 106 Twitter users whose recent tweets contained “passbac”. The network was obtained on Wednesday, 30 January 2013 at 01:09 UTC. There is an edge for each follows relationship. 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 tweets were made over the 7-day, 5-hour, 32-minute period from Tuesday, 22 January 2013 at 17:40 UTC to Tuesday, 29 January 2013 at 23:12 UTC.

 Learn to make your own network maps of social media at PASSBAC 2013!

2013-passbac_web_banner

Posted in All posts, Conference, Foundation, Industry, Network metrics and measures, Network visualization layouts, NodeXL, PASSBAC, Research, SMRF, SNA, Social Interaction, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Social Theories and concepts, Talks, Visualization Tagged 2013, Analytics, April, BI, Business Intelligence, Chicago, Conference, Data Analysis, Lecture, Marc Smith, NodeXL, PASSBAC, Predictive Analytics, SQL, Talk, workshop 1 Comment

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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

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Social Media in the Public Sector

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Ways of Knowing in HCI

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