Abstract

The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.

Original languageEnglish (US)
Title of host publicationProceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
PublisherIEEE Computer Society
Pages1132-1133
Number of pages2
Volume2017-November
ISBN (Electronic)9781538614808
DOIs
StatePublished - Dec 15 2017
Event17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 - New Orleans, United States
Duration: Nov 18 2017Nov 21 2017

Other

Other17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
CountryUnited States
CityNew Orleans
Period11/18/1711/21/17

Fingerprint

Chemical analysis
Industry

Keywords

  • Team performance explanation
  • Team performance optimization
  • Team performance prediction

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Li, L., & Tong, H. (2017). Uncovering teamwork in networks - Prediction, optimization and explanation. In Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 (Vol. 2017-November, pp. 1132-1133). IEEE Computer Society. https://doi.org/10.1109/ICDMW.2017.160

Uncovering teamwork in networks - Prediction, optimization and explanation. / Li, Liangyue; Tong, Hanghang.

Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Vol. 2017-November IEEE Computer Society, 2017. p. 1132-1133.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, L & Tong, H 2017, Uncovering teamwork in networks - Prediction, optimization and explanation. in Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. vol. 2017-November, IEEE Computer Society, pp. 1132-1133, 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017, New Orleans, United States, 11/18/17. https://doi.org/10.1109/ICDMW.2017.160
Li L, Tong H. Uncovering teamwork in networks - Prediction, optimization and explanation. In Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Vol. 2017-November. IEEE Computer Society. 2017. p. 1132-1133 https://doi.org/10.1109/ICDMW.2017.160
Li, Liangyue ; Tong, Hanghang. / Uncovering teamwork in networks - Prediction, optimization and explanation. Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Vol. 2017-November IEEE Computer Society, 2017. pp. 1132-1133
@inproceedings{c2556decbbd44e859af590ceac1a5c91,
title = "Uncovering teamwork in networks - Prediction, optimization and explanation",
abstract = "The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.",
keywords = "Team performance explanation, Team performance optimization, Team performance prediction",
author = "Liangyue Li and Hanghang Tong",
year = "2017",
month = "12",
day = "15",
doi = "10.1109/ICDMW.2017.160",
language = "English (US)",
volume = "2017-November",
pages = "1132--1133",
booktitle = "Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Uncovering teamwork in networks - Prediction, optimization and explanation

AU - Li, Liangyue

AU - Tong, Hanghang

PY - 2017/12/15

Y1 - 2017/12/15

N2 - The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.

AB - The most significant trend in human creativity is the shift from individual to teams. Great achievements across academic disciplines and industries are increasingly teamwork. Motivated by this, we aim to uncover teamwork in networks, including predicting teams' performance, optimizing teams' compositions and explaining the prediction results and optimization actions.

KW - Team performance explanation

KW - Team performance optimization

KW - Team performance prediction

UR - http://www.scopus.com/inward/record.url?scp=85044089507&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044089507&partnerID=8YFLogxK

U2 - 10.1109/ICDMW.2017.160

DO - 10.1109/ICDMW.2017.160

M3 - Conference contribution

VL - 2017-November

SP - 1132

EP - 1133

BT - Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017

PB - IEEE Computer Society

ER -