Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

TEAMOPT: Interactive team optimization in big networks

Li, L and Tong, H and Cao, N and Ehrlich, K and Lin, YR and Buchler, N (2016) TEAMOPT: Interactive team optimization in big networks. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

© 2016 Copyright held by the owner/author(s). The science of team science is a rapidly emerging research field that studies strategies to understand and enhance the process and outcomes of collaborative, team-based research. An interesting research question we address in this work is how to maintain and optimize the team performance should certain changes happen to the team. In particular, we take the network approach to understanding the teams and consider optimizing the teams with several operations (e.g., replacement, expansion, shrinkage). We develop TeamOpt, a system to assist users in optimizing the team performance interactively to support the changes to a team. TeamOpt takes as input a large network of individuals (e.g., co-author network of researchers) and is able to assist users in assembling a team with specific requirements and optimizing the team in response to the changes made to the team. It is effective in finding the best candidates, and interactive with users' feedback in the loop. The system is developed using HTML5, JavaScript, D3.js (front-end) and Python CGI (back-end). A prototype system is already deployed. We will invite the audience to experiment with our TeamOpt in terms of its effectiveness, efficiency and applicability to various scenarios.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, L
Tong, H
Cao, N
Ehrlich, K
Lin, YRyurulin@pitt.eduYURULIN
Buchler, N
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
CorrespondentLin, Yu-Ruyurulin@pitt.eduYURULINUNSPECIFIED
Date: 24 October 2016
Date Type: Publication
Journal or Publication Title: International Conference on Information and Knowledge Management, Proceedings
Volume: 24-28-
Page Range: 2485 - 2487
Event Type: Conference
DOI or Unique Handle: 10.1145/2983323.2983340
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450340731
Date Deposited: 30 Jun 2017 15:07
Last Modified: 08 Dec 2017 13:58
URI: http://d-scholarship.pitt.edu/id/eprint/32575

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item