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Microsoft

Science@Microsoft – The Fourth Paradigm in Practice Book

11SepMay 7, 2015 By Marc Smith

Just released: Science@Microsoft – The Fourth Paradigm in Practice Book

“This collection of Science@Microsoft vignettes illustrates some of the progress that has been made in a number of disciplines and describes the technologies that have been deployed to gain these new insights.”

The volume lists tools for scientific research and includes NodeXL:

NodeXL is a powerful and easy-to-use interactive network visualization and analysis tool that uses Microsoft Excel for representing generic graph data, performing advanced network analysis, and visual exploration of networks. NodeXL supports multiple social network data providers that import graph data (nodes and edge lists) into Excel. The import features of NodeXL explore social media by pulling data from personal email indexes on the desktop, Twitter, Flicker, YouTube, Facebook, and web hyperlinks.

NodeXL allows non-programmers to generate useful network statistics and metrics quickly and create visualizations of network graphs. Filtering and display attributes can be used to highlight important structures in the network.

Posted in All posts, Book, Foundation, Microsoft, NodeXL, Papers, SMRF, Social Media Research Foundation, Social network, Social Network Analysis, Technology, Visualization Tagged 2012, Book, Microsoft, Microsoft Research, MSR, NodeXL, Research, SNA

July 12-13, 2010: Microsoft Research Faculty Summit, Redmond, WA

08JulMay 7, 2015 By Marc Smith

Faculty Summit

The 2010 Microsoft Research Faculty Summit was held July 12 and 13 in Redmond, Washington.  Among the many panels and discussions related to the state of computer science the NodeXL team had several representatives talking about the ways network science education can be expanded using an easy to use application for network analysis built on Excel.

Jimmy Lin from the University of Maryland also attended to speak about programming in the cloud.

Here is the abstract for the NodeXL talk:

NodeXL – Social Network Analysis in Excel—Natasa Milic Frayling, Microsoft Research; Ben Shneiderman, University of Maryland; Marc Smith, Connected Action

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft’s NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools—NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world. NodeXL has the unique feature that it imports networks from Outlook email, Twitter, flickr, YouTube, WWW, and other sources, plus it offers a rich set of metrics, layouts, and clustering algorithms. This talk will describe NodeXL and our efforts to start the Social Media Research Foundation.

Some photos from the event:

Saul Greenberg at the 2010 MSR Faculty Summit

Saul Greenberg

Ben Shneiderman and Andy van Dam 2010 MSR Faculty Summit

Ben Shneiderman and Andy van Dam

Ben Shneiderman, Natasa Milic-Frayling, and Marc Smith at the 2010 MSR Faculty Summit

Ben Shneiderman, Natasa Milic-Frayling and Marc Smith

Tom McMail and Marc Smith at 2010 MSR Faculty Summit

Tom McMail and Marc Smith

Posted in All posts, Conference, Microsoft, Mobile Devices, Mobile Social Software, NodeXL, Research, Social Media, Social network, Social Network Analysis, Talks, Visualization Tagged 2010, Bellevue, Ben, Conference, Event, Faculty, July, Meeting, Microsoft, Microsoft Research, Milic-Frayling, MSR, Natasa, NodeXL, Redmond, Research, Shneiderman, Social Media, Summit, Washington

VIDEO: NodeXL demo from Eduarda from Microsoft Research Cambridge at EU Innovation Day event

15MayMay 7, 2015 By Marc Smith

My colleague, Eduarda Mendes-Rodriguez, recently demoed NodeXL at the Microsoft EU Innovation Day event in Brussels, Belgium.  She illustrates the value of network analysis in general with a social network diagram representing the voting patterns of United States Senators in 2007.  The results show the clear party-line clustering and the presence of a few fence sitters, one of whomn just recently changed party.  I think the difference between the two party’s internal cohesion is an interesting observation as well.  

 

Eduarda does a great job demonstrating the ease with which a sophisticated analysis can be implemented via the NodeXL interface.

NodeXL is about to cross 8,000 downloads and has several releases in the works to add better tools for laying out a social network diagram.

Posted in All posts, Measuring social media, Metrics, NodeXL, Research, Social Media, Social network, Social Roles, Sociology, Talks, Video, Visualization Tagged 2007, 2009, Cambridge, Demo, Eduarda, Excel, Microsoft, MSR, NodeXL, Office, Social network, Video, Visualization, YouTube 3 Comments

Farewell to Microsoft after ten great years

29SepMay 7, 2015 By Marc Smith

Marc Smith at Microsoft ResearchAfter ten years at Microsoft Research I have decided it is time to move on.  My time at MSR has been a remarkable one.  I have had the opportunity to work with very smart and focused people intent on making technical strides on many defining aspects of computing.  It has been a pleasure to work with many talented people to bring better analysis of social media into the user generated content creation and consumption loop.  We built tools to data mine and visualize conversation repositories to give participants and managers better reports on their activities.  We discovered the ways participants in social media repositories perform different roles that can be identified by different patterns of computer-mediated interactions.   We applied those ideas to personal email triage and patterns of email usage.  We pushed ideas related to mobile devices and location based social networking and object annotation.  We built a number of tools for visualizing the patterns and (social) network structures in the data created by the use of computer-mediated interaction tools.  

These projects point towards a world in which computers and mobile devices do more than connect us to the network, they will sense the world around us and reason about both our location and who is with us.  Combined with back-end data mining, new mobile sensor studded devices are coming that will alter the nature of social interaction in its last, most analog hold out: face-to-face, co-present interaction.

I want to explore this change in the nature of what the sociologist Erving Goffman referred to as the “interaction order“.  We are living through the early stages of the “electrification of the interaction order”, a time in which the ways we interact with one another is changed dramatically by the availability of mobile social information networks.  Online social networking, content sharing and discussion systems have effects that are multiplied when channeled through a device carried by every person and active in every interaction, however fleeting.  

Imagine going to a business meeting or conference and having Facebook suggest that you link to the people you spent the longest time talking to.  Mobile social computing will add more content to the torrent already generated by “desktop” experiences.  Some projects are already digging into this area: good examples include companies and products like nTag.com, SpotMe.Com, and the many trail and path tracking applications now appearing in the iPhone AppStore.  Scott Counts and I wrote about a location based social networking application that demonstrated many of these features as well as search and matching features that have yet to appear in the first wave of production systems.

A first step in this direction is to focus more on the analytic back-ends that will be needed for the management of all forms of social media repositories.  Community analysis servers that provide a dashboard of community health and activity indicators will be a critical differentiating feature for community hosts, managers, and leading participants.  Successful communities will be those that can cultivate contribution the best while managing conflict at the lowest cost.  Once desktop bound social encounters are channeled through an analytics console more real-world events sensed by mobile devices can be added to the mix.  

I am looking forward to some time to push back and reflect more about these changes while looking around for new ways to explore them.  I will take some time to get my family settled into our new home in California.  I hope to catch up with many people!  I will also be visiting Yale, University of Maryland and Berkely for talks this fall.  I plan to attend the Microsoft Research Social Computing Symposium in Redmond (it will be good to be back!) and the Conference on Information and Knowledge Management (CIKM) in Sonoma.

My old masmith@microsoft.com email address is no longer active, so please contact me at marc.smith.email at gmail.com.  

I look forward to staying in touch with my many friends and colleagues at Microsoft while finding the time now to meet with a wide range of people interested in social media.

Posted in All posts, Mobile Devices, Mobile Social Software, Research, Shameless self-promotion, Social Media, Sociology, Visualization Tagged Analysis, Community, Farewell, Microsoft, MSR, Networks, Research, Social Media 5 Comments

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

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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
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  • 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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