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data provider

NodeXL Exchange Spigot: Extract social networks from enterprise email

25JulMay 7, 2015 By Marc Smith

The widely used Microsoft Exchange email server contains many networks that are created as people reply to one another and join various groups and distribution lists.

A new NodeXL data provider (“spigot“) is now available to extract these social networks from Exchange servers.

This is the Exchange Spigot for NodeXL a configurable interface for defining and executing a query against a Microsoft Exchange email server designed to be used with NodeXL.

NodeXL is an easy to use add-in for the familiar Excel spreadsheet that adds support for network overview, discovery and exploration. The free and open NodeXL project has several import data providers that extract and display networks from popular social media network repositories like Twitter, Flickr, YouTube, the WWW and more.

By adding an Exchange Spigot to your installation of NodeXL you gain a simple way to extract networks from your own email stored on an Exchange server. With appropriate permissions and in compliance with local and legal requirements, the Exchange Spigot can access email and extract social network data across multiple email user accounts.

If available, Active Directory metadata is integrated with email data extracted from the Exchange server. Profile metadata is added to the network workbook when available (typically only for email from other employees, not people from outside your company or division).

The Exchange Spigot for NodeXL is one of several related projects to provide a connection between valuable sources of network data structures and the easy-to-use network browser, NodeXL. Additional projects have implemented connections to web crawlers, Facebook, and soon, SharePoint.

The Exchange Spigot for NodeXL project team includes: Luka Potkonjak, Milos Lazarevic, Ivan Vujic, Natasa Milic-Frayling, and Marc Smith.

The Exchange Spigot for NodeXL project is coordinated by the Social Media Research Foundation (http://www.smrfoundation.org) and receives generous support from Microsoft Research.

Posted in All posts, APIs and File Formats, Foundation, Measuring social media, Metrics, Microsoft, NodeXL, Research, SMRF, Social Media, Social Media Research Foundation, Social network, Social Network Analysis, Visualization Tagged 2011, Active Directory, data provider, email, Enterprise, Exchange, network, NodeXL, ONA, Organization, SMRF, SNA, Social Media, Social Media Research Foundation, Spigot

Mapping social networks in Twitter Lists with NodeXL (v.161)

05AprMay 7, 2015 By Marc Smith

Lists are a recent feature of Twitter which enable users to compile collections of users to follow in a single tweet stream.  People can add up to 500 people to follow on a single list.    People on a list may be connected to one another if one follows the other.

Some people on a list may have many connections.  Some have only a few or even no connections to others on the list.

In version 161 of NodeXL you may now create maps of the connections among a list of Twitter users.

There are two options in this feature.  One makes use of the List functions in Twitter.  If you request the map for a single twitter list, NodeXL will build a map of the connections among all the people Twitter reports as being on the list.  You can create and manage the people on a list using the Twitter list features, or select an existing Twitter list created by other users.

A second option in this feature accepts a list of up to 10,000 twitter user names pasted into the query text box.  If you have a list of users and want a map of how they are connected, and the list is not already in Twitter, just paste them here and get a map.

Either way, a connection will be created for every two users if one follows the other.

Here is an example of the network map of the Twitter list of social network analysis people maintained by Valdis Krebs: valdiskrebs\network-analysts

 

Posted in All posts, APIs and File Formats, Foundation, Measuring social media, Metrics, Network data providers (spigots), NodeXL, Research, SMRF, Social Interaction, Social Media, Social network, Social Network Analysis, Social Theories and concepts, Twitter Tagged 2011, Chat, Collection, data provider, February, group, List, Map, Netwokr, NodeXL, SMRF, SMRFoundation, SNA, social, Social Media, Social Media Research Foundation, Social network, Spigot, Twitter, Visualization 5 Comments

Data provider (spigots) in NodeXL: networks extracted from social media

11AprMay 7, 2015 By Marc Smith

water spigot switch
Attribution-ShareAlike License by chris.corwin

– – 

We have several data import providers (spigots) in NodeXL that query popular sources of social media for information that can be processed into a network graph.  User and search term networks from Twitter, YouTube, and flickr have been implemented for a while along with a connector to email reply networks through the Windows Search Index.  NodeXL also imports data from several popular network analysis file formats, opening up data sets and sample libraries used in many courses.

Recently, we added a 3rd party provider for web hyperlink networks through the VOSON service from Prof. Robert Ackland at the Australian National University.

We plan a number of additional data import spigots and would like to know about additional sources of network data structures that would be of interest.

The following data sources are possible targets for a new data provider.  Which matter most to you? SharePoint? Exchange? Active Directory? LinkedIn? Media Wikis?

Posted in All posts, Connected Action, flickr, Industry, LinkedIn, Measuring social media, Microsoft, Network data providers (spigots), NodeXL, Social Media, Social network, Social Network Analysis, Sun, Twitter, Visualization, YouTube Tagged 2010, data provider, network, NodeXL, SMRF, SMRFoundation, SNA, Social Media, Social Media Research Foundation, sources, Spigot, VOSON 3 Comments

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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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