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Connected Action enables cloud storage of your social media networks with the NodeXL Graph Server Database

10FebMay 7, 2015 By Marc Smith

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Connected Action enables cloud storage of your NodeXL social media network datasets.

The Connected Action NodeXL Graph Server Importer allows you to import your Twitter or Facebook data into NodeXL from the cloud based Connected Action NodeXL Graph Database.

Contact Connected Action for pricing and availability.

The Connected Action NodeXL Graph Server Database enables NodeXL users to store their social media data from Twitter and Facebook in a personal Cloud Storage locker.

Specify the search terms and queries that matter to you with your Connected Action account representative and the Connected Action NodeXL Graph Database will collect and store your social media data for you every day.

Subscribers to the Connected Action NodeXL Graph Database can then use NodeXL to import long periods of their collected social media network data in a short period of time!

The importer can be added to any recent copy of NodeXL.

Just download and unzip the add-in and copy it to the folder you have selected to hold 3rd party importers for NodeXL .

You can select the folder to use for 3rd party importers via the NodeXL menu located at:

NodeXL>Data>Import>Import Options:

20150210-NodeXL-Data-Import-Import Options Dialog

This folder can be located anywhere in your file system.

When you restart NodeXL, your NodeXL>Data>Import Menu may look like this:

20150210-NodeXL-Data-Import-Import Menu List

When you select the option “From Connected Action NodeXL Graph Server…” you will get a dialog that looks like:

Enter  your account credentials and then enter the queries you have created with your Connected Action account representative.

NodeXL will then import a social media network data set that can be automatically analyzed and visualized.

Posted in 2015, All posts, Connected Action NodeXL Graph Server Importer, Measuring social media, Metrics, Network clusters and communities, Network Data Archives, Network data providers (spigots), Network metrics and measures, NodeXL, SNA, Social Interaction, Social Media, Social network, Social Network Analysis, Social Theories and concepts, Sociology, Technology, Visualization, Web Application Tagged 2015, Add-in, Analytics, BI, Cloud, Comments, Connected Action, Facebook, Fan Pages, Feature, Groups, Importer, Likes, Locker, network, NodeXL, Pages, Posts, Product, Service, SNA, Social network, socialmedia, Tweets

Expand and Collapse Groups of Vertices with NodeXL v.132

09SepMay 7, 2015 By Marc Smith

Clusters are now groups in NodeXL. Recently, the NodeXL team has been focused on a set of new features related to grouping sets of vertices together.  In the previous version we released a feature that allowed all sorts of groupings to be recorded in the worksheet.  What’s new is that the three clustering algorithms we have already provided are just one form of group, components (connected sets of vertices) are another, and user labeled sets are a third method of creating a group of nodes in NodeXL (this last feature is still pending). This release adds the ability to add vertices to a group and then collapse all of the vertices in that group to a metanode – a composite of all the nodes in that group.  It is then possible to expand the collapsed vertices into the graph

These features are part of a larger effort to support time in which “time is but a group” – a set of nodes and edges present in a time slice. We are working on designs in which some groups are sequenced, allowing the user to move up and back through collections of vertices that may appear or disappear over different time slices/groups.

Here are the most recent features: 1.0.1.132 (2010-09-06)

  • After you group the graph’s vertices (NodeXL, Analysis, Groups), you can now select all the vertices in a group. Go to the Groups worksheet and click on a group name.
  • Once a group is selected, you can collapse it into a single vertex. Go to NodeXL, Analysis, Groups, Collapse Group. You can expand it again using Expand Group.
  • The Groups worksheet now includes a column that tells you how many vertices are in the group.
  • Bug fix: The NodeXL, Help, Check for Updates feature stopped working in version 1.0.1.131.
  • Bug fix: If you clicked NodeXL, Graph, Show Graph while editing a worksheet cell, you would get a message that started with “Unable to set the Hidden property of the Range class.”

1.0.1.131 (2010-08-19)

  • This version introduces the concept of “vertex groups,” or “groups” for short. A group is a set of related vertices. All vertices in a group are shown with the same shape and color. Clusters are an example of groups.
  • The worksheets that used to be called “Clusters” and “Cluster Vertices” are now called “Groups” and “Group Vertices.”
  • The NodeXL, Analysis, Find Clusters button in the ribbon has been moved to a new NodeXL, Analysis, Groups menu.
  • You can now group vertices by connected components, meaning that each group of interconnected vertices will have the same shape and color. Go to NodeXL, Analysis, Groups, Find Connected Components.
  • You can now group vertices using the values in a column on the Vertices worksheet — all vertices with degree greater than 100 in one group, all vertices with degree greater than 50 in another, for example.
  • If you open an older NodeXL workbook in this new version of NodeXL, the Clusters and Cluster Vertices worksheets will be automatically renamed.
  • You cannot open a new NodeXL workbook in an older version of NodeXL. If you attempt to do so, you will get a message that starts with “This document might not function as expected because the following control is missing: Clusters.”
Posted in All posts, Measuring social media, Metrics, Network clusters and communities, Network visualization layouts, NodeXL, Social network, Social Network Analysis, Visualization Tagged 2010, Clusters, Collapse, Components, Expand, Feature, Groups, NodeXL, Release, September, Sets, SMRF, SMRFoundation, Social Media Research Foundation, update, Vertex, Vertices

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

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Communities in Cyberspace

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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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