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VIVO Expert Finder

This project introduces a bi-modal force-directed graph to assist in identifying collaboration opportunities among scholars. It highlights the challenge of finding experts and collaborators, emphasizing the future of scholarship lies in effective collaboration. The architecture leverages VIVO data processed via a Python program, with Angular.js and D3.js for mobile access and visualization. Developed during a Hackathon, the project aims to consolidate publication data and enhance connectivity within scholarly communities, with future iterations planned to improve functionality and user engagement.

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VIVO Expert Finder

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  1. M. Conlon March 19, 2014 VIVO Expert Finder

  2. What – bi-modal force directed graph of concepts and people

  3. Why? • Collaboration is the future of scholarship • Finding collaborators/experts can be difficult • We have the data

  4. Who and When • Mike Conlon, Simon Porter, Chris Barnes • Additional Developer to be named • Anybody else who like to be help • Uh, when?

  5. How: Architecture

  6. How: Tools • VIVO data through a Python program to a stored concordance object • Angular.js mobile app controller, data access • D3.js mobile app view forced directed graph, transitions, drill down to VIVO Completed at the Hackathon • Concordance first draft • Extend get_publication for concepts and authors • Concordance second draft – driven by publications, gather concept and author data

  7. Where • Code • http://github.com/mconlon17/mconlon17.github.io • Some VIVO Things web site • http://mconlon17.github.io • Demo • http://mconlon17.github.io/angular/bimodal.html

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