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Andrea Wiggins

User: Andrea Wiggins

Name: Andrea Wiggins

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

Last seen: Tuesday 19 August 2008 @ 21:14:22 (BST)

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

Website: http://www.andreawiggins.com

Location: Syracuse, NY, United States

9 Friends

1 Group (admin)

2 Groups (member)

1 Files

4 Workflows

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Andrea Wiggins has been credited 5 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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Andrea Wiggins

Output from FLOSS Communication Centralization Workflow

Created: 10/02/08 @ 01:56:29 | Updated: 09/06/08 @ 21:53:03

Credits: Andrea Wiggins Crowston James Howison

Attributions: FLOSS Communication Centralization Plot, Exponentially Weighted

License: Creative Commons Attribution-Share Alike 3.0 License

This example shows the communication dynamics in the Gaim project's "users helping users" forum.

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Rating: 0.0 / 5 (0 ratings) | Comments: 0 | Viewed: 249 times | Downloaded: 80 times

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Andrea Wiggins

Data Set Metadata Generator (v1)

Created: 19/08/08 @ 21:17:14 | Updated: 19/08/08 @ 21:25:53

Credits: Andrea Wiggins

License: Creative Commons Attribution-Share Alike 3.0 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...

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

Viewed: 44 times | Downloaded: 17 times

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Andrea Wiggins

Success-Abandonment-Classification (v3)

Created: 06/02/08 @ 14:35:41 | Updated: 02/07/08 @ 17:15:25

Credits: Andrea Wiggins James Howison

License: Creative Commons Attribution-Share Alike 3.0 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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Andrea Wiggins

FLOSS Communication Centralization Plot, Unit Weighted (v1)

Created: 07/03/08 @ 02:00:42 | Updated: 07/03/08 @ 02:01:20

Credits: Andrea Wiggins Crowston James Howison

License: Creative Commons Attribution-Share Alike 3.0 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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Viewed: 230 times | Downloaded: 190 times

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Andrea Wiggins

FLOSS Communication Centralization Plot, Exponentially Weighted (v3)

Created: 10/02/08 @ 01:15:28 | Updated: 07/03/08 @ 01:55:29

Credits: Andrea Wiggins Crowston James Howison

License: Creative Commons Attribution-Share Alike 3.0 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: 3 | Reviews: 0 | Comments: 2 | Citations: 0

Viewed: 699 times | Downloaded: 393 times

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