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Andrea Wiggins

User: Andrea Wiggins

Name: Andrea Wiggins

Joined: Monday 17 December 2007 @ 22:37:58 (GMT)

Last seen: Friday 12 June 2009 @ 11:48:48 (BST)

Email (public): awiggins [at] syr.edu

Website: http://www.andreawiggins.com

Location: Syracuse, NY, United States

12 Friends

1 Group (admin)

2 Groups (member)

3 Packs

1 Files

7 Workflows

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Andrea Wiggins has been credited 8 times

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I'm a PhD student at Syracuse University's School of Information Studies. My research interests include virtual teams and technology-mediated collaboration.

Other contact details:

Not specified

Interests:

Free/Libre Open Source Software development, self-organizing systems, virtual collaboration, network science, social media

Field/Industry: Information Science

Occupation/Role(s): PhD Student

Organisation(s):

Syracuse University

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Taverna 1

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Andrea Wiggins

DOI Files (v1)

Created: 05/06/09 @ 13:51:58 | Last updated: 05/06/09 @ 13:51:59

Credits: Andrea Wiggins

Attributions: DOI Record Generator

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This workflow generates additional files required for handling DOI creation: the DOI URL mapping required for the DOI deposit, and a set of sql update statements to insert the DOIs into an eprints database. Note that it is extremely important for this workflow to use the same CSV file as was used with the DOI record generator, as well as the same seed number.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 33 times | Downloaded: 5 times

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database
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doi
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eprints
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metadata
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repository
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sql
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text

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Taverna 1

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Andrea Wiggins

DOI Record Generator (v1)

Created: 29/04/09 @ 16:39:58 | Last updated: 29/04/09 @ 16:39:59

Credits: Andrea Wiggins

Attributions: Data Set Metadata Generator

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This workflow generates DOI record files for deposit, using data set metadata for the FLOSSmole project. It reads in an input file generated from a SQL query from an eprints database, and transforms the parts of the source file as necessary to create a comprehensive DOI deposit record. It also generates DOIs for the data sets. These metadata are inserted into an XML record template (based on the std-doi.xsd schema) and the individual resources are aggregated into a single file.

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Taverna 1

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Andrea Wiggins

Rich Get Richer (v1)

Created: 05/02/09 @ 02:42:43 | Last updated: 05/02/09 @ 02:42:44

Credits: Andrea Wiggins

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This workflow is a replication of the analysis from an OSCon 2004 presentation by Megan Conklin, entitled "Do the Rich Get Richer?" to demonstrate scale-free distribution of FLOSS developers among projects. The workflow retrieves the current number of active developers (for the most recent calculation of said statistic) from the FLOSSmole database. It summarizes and plots the distribution of developers to projects, on both a straight and log-log scale. It also generates a flat list of the de...

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Taverna 1

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Data Set Metadata Generator (v1)

Created: 19/08/08 @ 21:17:14 | Last updated: 19/08/08 @ 21:25:54

Credits: Andrea Wiggins

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This workflow generates ePrints XML import files with data set metadata for the FLOSSmole project. It reads in an input file generated from a Notre Dame SourceForge dump SQL query and uses regular expressions to parse the filename for the data set's source repository, download URL, and basic description. It also translates the epoch date into a sql format suitable for import, and the file size from bytes into larger units, e.g. GB, MB, etc. These data are inserted into an XML eprint record te...

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Taverna 1

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Andrea Wiggins

FLOSS Communication Centralization Plot, Unit Weighted (v2)

Created: 07/03/08 @ 02:00:42 | Last updated: 07/02/09 @ 18:49:48

Credits: Andrea Wiggins Crowston James Howison

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The analysis in this workflow represents the basis of the analysis in our paper, Social dynamics of FLOSS team communication across channels. This workflow uses WSDL components to select periodized data from the FLOSSmole database and generate sociomatrices. The workflow parses the threaded list structure into a communication network based on reply-to relationships. In the analysis process, an unit weighting is applied to the edges. The weighted sociomatrices are then dichotomized according ...

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Taverna 1

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Andrea Wiggins

FLOSS Communication Centralization Plot, Exponentially Weighted (v4)

Created: 10/02/08 @ 01:15:29 | Last updated: 07/02/09 @ 18:50:45

Credits: Andrea Wiggins Crowston James Howison

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The analysis in this workflow represents the basis of the analysis in our paper, Social dynamics of FLOSS team communication across channels. This workflow uses WSDL components to select periodized data from the FLOSSmole database and generate sociomatrices. The workflow parses the threaded list structure into a communication network based on reply-to relationships. In the analysis process, an edge weighting is applied so that older messages receive less weight using an exponential decay fun...

Rating: 5.0 / 5 (1 rating) | Versions: 4 | Reviews: 0 | Comments: 2 | Citations: 0

Viewed: 206 times | Downloaded: 68 times

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Taverna 1

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Andrea Wiggins

Success-Abandonment-Classification (v3)

Created: 06/02/08 @ 14:35:42 | Last updated: 02/07/08 @ 17:15:25

Credits: Andrea Wiggins James Howison

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Retrieves data from FLOSSmole and from the Notre Dame SourceForge repository to compute project statistics based on releases, downloads and project lifespan. Project statistics are then used to classify projects according to the criteria set up in English & Schweik, but comparison criteria are parameterized so that a different set of criterion thresholds can be used to evaluate the project characteristics.

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