Internationl Network for Social Network Analysis

   Member Profile : Benjamin Elbirt   
Contact Information
Address:                                        -Map Me-
Benjamin Elbirt
Elbirt Technologies
2629 Catharine Street
Philadelphia, PA, United States 19146

Phone : 716 998 6302
Fax : 716 625 1326

E-mail : sarq_6669@yahoo.com
Website : http://www.elbirttechnologies.com
Bibliographic Information

Elbirt, B. The Nature of Networks: A Structural Census of Degree Centrality across Multiple Network Sizes and Edge Densities. (2008). Proceedings from SUNBELT 2008. St. Petersburg Beach, Florida, USA:..

Elbirt, B. (2006). Jacob's Ladder 11 - Multidimensional Data Animation, Visualization and Intonation Application for Creating Virtual Reality Displays [computer software]. Buffalo, NY .

Elbirt, B. Jacob's Ladder 11.0 Multidimensional Data Animation, Visualization and Intonation Application for Creating Virtual Reality Displays. (2006). Proceedings from Sunbelt 2006. Vancouver, Canada:..

 
Software & Data Active Calendar Listings

Competing Idea Diffusion Agent Based Model (CID-ABM) 1.0(Software)
This software allows a researcher to investigate the propagation of competing [information] ideas through a [social] network with controls for who starts with the idea [seeds], leadership, adoption time (Solomon, 2000), and dynamic idea adoption [floating decisions]. JUNG (Java Universal Network/Graph Framework) is used for graphical output during simulation. Data outputs include time stamped calculations, adoptions and saturation percentages.
Elbirt Technologies Visualizer (ET-V) 1.0 (2010)(Software)
Multidimensional Data Animation, Visualization and Intonation Application for Creating Virtual Reality Displays

ET-V (formally Jacob's Ladder) is software for the visualization, intonation and animation of multidimensional data in a multi-dimensional space. ET-V is targeted toward any research involving the use of multidimensional data. The software provides individuals with the ability to animate and/or overlay real-time multidimensional data of any type or size in an OpenGL space with maximum variability in dimensional representations including, but not limited to, object size, spin, type, position, color, audio note, velocity, channel and instrument (MIDI). Examples are provided covering US Senate Co-sponsorship of Bills (Fowler, 2009) and Canadian migration patterns (Barnett & Sung, 2003).

Important Changes from Previous Versions

Updated to JOGL 2.1
GUI Rebuilt for modern look / feel.
I/O Rebuilt for faster display with less memory/cpu.
Spin functionality.
Ego Cluster Display Options.
XLS and XLSX input files (no more NetXML needed).
Matrix to Coordinates 4.0 (2010)(Software)
This application will convert relation (matrix) data into Reimann coordinate spaces for use with the ET-V Visualization software (and any other software that can use coordinates). The software utilizes MDSJ (Algorithmics Group, 2009, Brandes and Pich, 2007) for coordinates, JUNG (Madadhain, 2005) for Centrality Calculations and includes a custom Procrustes rotation algorithm for longitudinal study. Unlike other algorithms, this one can rotate uneven spaces; those spaces with some shared concepts but also containing unshared concepts.

The resulting coordinates work such that the closer two objects are the more structurally similar they are. Thus, structurally equivalent objects will overlap.

Although the program will handle any size data your system memory will allow; the calculation time will vary based on the depth of dimensionality chosen and additional calculation / output options.
Centrality Distributions, Chains & Entropy Calculations(Data)
Information is provided about obtaining the data relevant to my thesis. Data includes all edge, node, chain and group centrality distributions for networks size five (5) through fifteen (15) inclusive.
Sunbelt XXI through XXVIII Abstract Data(Data)
This is a collection of the abstracts from Sunbelt XXI through XXVIII inclusive based on the published information in the Connections Journal for those years. This data HAS NOT been cleaned and may contain spelling errors and non-alpha characters.

TERMS OF USE: You may use this data for any research/analysis purpose; however you MAY NOT SELL THIS DATA to any third party at any time. All uses of this data in publication, private or public, should contain the following reference:

<b>INSNA (2011). <u>Sunbelt XXI through XXVIII Abstract Data</u>. http://www.insna.org</b>

The ZIP file contains each Sunbelt data file as a text file with a specific format. The formats are described in the file About XXI - XXVII Data Files.txt contained within the ZIP. The information is also provided below:

XXI
Title
Author List (Semicolon Delimited, \"First Middle Last\")
Abstract
-1
XXII
Title
Author List (Comma Delimited, \"First Middle Last\")
Abstract
-1
XXIII
Title
Author List (Comma Delimited, \"First Middle Last\")
Abstract
-1
XXIV
Title
Author List (Comma Delimited, \"First Middle Last\")
Abstract
-1
XXV
Title
Author List (Comma Delimited, \"First Middle Last\")
Abstract
-1
XXVI
Author List (Semicolon Delimited, \"Last, First Middle\")
Keywords (Semicolon Delimited)
Title
Abstract
-1
XXVII
Author List (Semicolon Delimited, \"Last, First Middle\")
Keywords (Semicolon Delimited)
Title
Abstract
-1
XXVIII
Author List (Semicolon Delimited, \"Last, First Middle\")
Keywords (Semicolon Delimited)
Title
Abstract
-1
Sunbelt XXIX Abstract Data(Data)
This is a data dump of the INSNA Sunbelt XXIX abstract database for all abstracts accepted for Sunbelt XXIX poster/presentation. This data HAS NOT been cleaned and may contain spelling errors and non-alpha characters.

TERMS OF USE: You may use this data for any research/analysis purpose; however you MAY NOT SELL THIS DATA to any third party at any time. All uses of this data in publication, private or public, should contain the following reference:

<b>INSNA (2009). <u>Sunbelt XXIX Abstract Data</u>. http://www.insna.org</b>

The file contains three data files as follows:
<b>SunbeltXXIX.txt</b> - This file contains all the relevant data.
<blockquote>Semicolon delimited list of authors. Each author is delimited as LastName,FirstName,Middle
Session Name
Keyword List - Comma (,) Delimited List of Keywords
Abstract Title - All on one line
Abstract - On multiple lines
-1

Example:

Smith,John,H
Agent Based Models and Networks
NETWORKS,AGENT BASED MODELS,METHODS
This is the Title
This is the abstract on
multiple lines.
-1
</blockquote>

<b>abstracts.txt</b> - This file contains the abstracts each seperated by a -1.

<b>titles.txt</b> - This file contains the titles each seperated by a -1.
Sunbelt XXX Abstract Data(Data)
This is a data dump of the INSNA Sunbelt XXX abstract database for all abstracts accepted for Sunbelt XXX poster/presentation. This data HAS NOT been cleaned and may contain spelling errors and non-alpha characters.

TERMS OF USE: You may use this data for any research/analysis purpose; however you MAY NOT SELL THIS DATA to any third party at any time. All uses of this data in publication, private or public, should contain the following reference:

<b>INSNA (2010). <u>Sunbelt XXX Abstract Data</u>. http://www.insna.org</b>

The file contains three data files as follows:
<b>SunbeltXXIX.txt</b> - This file contains all the relevant data.
<blockquote>Semicolon delimited list of authors. Each author is delimited as LastName,FirstName,Middle
Session Name
Keyword List - Comma (,) Delimited List of Keywords
Abstract Title - All on one line
Abstract - On multiple lines
-1

Example:

Smith,John,H
Agent Based Models and Networks
NETWORKS,AGENT BASED MODELS,METHODS
This is the Title
This is the abstract on
multiple lines.
-1
</blockquote>

<b>abstracts.txt</b> - This file contains the abstracts each seperated by a -1.

<b>titles.txt</b> - This file contains the titles each seperated by a -1.
Sunbelt XXXI Abstract Data(Data)
This is a data dump of the INSNA Sunbelt XXXI abstract database for all abstracts accepted for Sunbelt XXXI poster/presentation. This data HAS NOT been cleaned and may contain spelling errors and non-alpha characters.

TERMS OF USE: You may use this data for any research/analysis purpose; however you MAY NOT SELL THIS DATA to any third party at any time. All uses of this data in publication, private or public, should contain the following reference:

<b>INSNA (2011). <u>Sunbelt XXXI Abstract Data</u>. http://www.insna.org</b>

The file contains three data files as follows:
<b>SunbeltXXIX.txt</b> - This file contains all the relevant data.
<blockquote>Semicolon delimited list of authors. Each author is delimited as LastName,FirstName,Middle
Session Name
Keyword List - Comma (,) Delimited List of Keywords
Abstract Title - All on one line
Abstract - On multiple lines
-1

Example:

Smith,John,H
Agent Based Models and Networks
NETWORKS,AGENT BASED MODELS,METHODS
This is the Title
This is the abstract on
multiple lines.
-1
</blockquote>

<b>abstracts.txt</b> - This file contains the abstracts each seperated by a -1.

<b>titles.txt</b> - This file contains the titles each seperated by a -1.

 
 
Network Graduate Programs Network Courses

 

 
 
Jobs Posted Sunbelt Submissions

 

Sunbelt XXIX - March 10 to March 15, 2009 - Bahia Hotel
Abstract : Jacob's Ladder 12 - Network Visualization with OpenGL
This software is the next generation in the Jacob's Ladder visualization tools providing the latest in visual software; OpenGL.
Abstract : Matrix to Coordinates 2.0
This Java application will convert matrixes to coordinate systems and rotate each system if the time series option is used.
Sunbelt XXXI - February 08 to February 13, 2011 - Trade Winds Beach Resort http://www.tradewindsresort.com/ St. Pete Beach
Abstract : Elbirt Technologies Software Suite - The Next Generation in Data Visualization and Analysis using Network Analysis Methodology
PDF File : http://www.elbirttechnologies.com/pubs/sbXXXIposter.pdf
This poster presentation will provide an overview of the latest software to be released by Benjamin Elbirt. The software demonstrations include ET-V 1.0, USNAA 1.0 and M2C 4.0.

ET-V 1.0 is the latest visualization, animation and intonation application that replaces the Jacob's Ladder (Elbirt, 2005 & 2009a & 2009b) software line. The software has been completely rebuilt with the latest JOGL (2.1), updated to use XLS and XLSX files (Microsoft Excel) and includes many new features that improve the overall display and performance.

M2C 4.0 is the latest Matrix to Coordinates conversion program that uses the latest MDSJ (Brandes & Pich, 2007) and a customized Procrustes rotation algorithm for longitudinal analysis. Inputs include pairs or matrix, text delimited or XLS/XLSX files. Outputs are in XLSX files and include various calculations and formats including ET-V.

USNAA 1.0 is a co-occurrence semantic text analysis application that uses network measures to create token (word) clusters (Elbirt, 2010) for improved semantic network outputs. The software will also calculate various measures of centrality, generate rotated coordinates (M2C functionality) and output ET-V content files for easy use in ET-V.

All software will be presented on a laptop with a poster for overview definition. Examples will be shown using data generated from 2001 through 2010 Sunbelt abstracts.
Abstract : Social Network Measures as Semantic Text Analysis Indicators for Compound Tokens
PDF File : http://www.elbirttechnologies.com/pubs/sbXXXIusnaaPaper.pdf
This presentation describes methodology for using degree centrality to join tokens (words) into clusters that better represent the data during a co-occurrence semantic network analysis. The method uses both binary and strength based degree centrality to identify outlier tokens. These tokens are then combined with related tokens to form new token-clusters. Results indicate a reduction in deviations, outliers and token volatility which in turn creates a better analysis.

The presentation will start by introducing the data set and general methodology for semantic analysis. This is followed by a presentation of the new methods for token clustering. Next, the final token list with and without the new methodology added are provided with 3D OpenGL visualizations. Finally, discussion is presented regarding the results and their implication on future semantic analysis.