Uncovering teamwork in networks - Prediction, optimization and explanation

Liangyue Li; Hanghang Tong

doi:10.1109/ICDMW.2017.160

Uncovering teamwork in networks - Prediction, optimization and explanation

Liangyue Li, Hanghang Tong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
Editors	Raju Gottumukkala, George Karypis, Vijay Raghavan, Xindong Wu, Lucio Miele, Srinivas Aluru, Xia Ning, Guozhu Dong
Publisher	IEEE Computer Society
Pages	1132-1133
Number of pages	2
ISBN (Electronic)	9781538614808
DOIs	https://doi.org/10.1109/ICDMW.2017.160
State	Published - Dec 15 2017
Event	17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 - New Orleans, United States Duration: Nov 18 2017 → Nov 21 2017

Publication series

Name	IEEE International Conference on Data Mining Workshops, ICDMW
Volume	2017-November
ISSN (Print)	2375-9232
ISSN (Electronic)	2375-9259

Other

Other	17th IEEE International Conference on Data Mining Workshops, ICDMW 2017
Country/Territory	United States
City	New Orleans
Period	11/18/17 → 11/21/17

Keywords

Team performance explanation
Team performance optimization
Team performance prediction

ASJC Scopus subject areas

Computer Science Applications
Software

Access to Document

10.1109/ICDMW.2017.160

Cite this

Li, L., & Tong, H. (2017). Uncovering teamwork in networks - Prediction, optimization and explanation. In R. Gottumukkala, G. Karypis, V. Raghavan, X. Wu, L. Miele, S. Aluru, X. Ning, & G. Dong (Eds.), Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 (pp. 1132-1133). (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2017-November). 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. ed. / Raju Gottumukkala; George Karypis; Vijay Raghavan; Xindong Wu; Lucio Miele; Srinivas Aluru; Xia Ning; Guozhu Dong. IEEE Computer Society, 2017. p. 1132-1133 (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, L & Tong, H 2017, Uncovering teamwork in networks - Prediction, optimization and explanation. in R Gottumukkala, G Karypis, V Raghavan, X Wu, L Miele, S Aluru, X Ning & G Dong (eds), Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. IEEE International Conference on Data Mining Workshops, ICDMW, 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 Gottumukkala R, Karypis G, Raghavan V, Wu X, Miele L, Aluru S, Ning X, Dong G, editors, Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. IEEE Computer Society. 2017. p. 1132-1133. (IEEE International Conference on Data Mining Workshops, ICDMW). 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. editor / Raju Gottumukkala ; George Karypis ; Vijay Raghavan ; Xindong Wu ; Lucio Miele ; Srinivas Aluru ; Xia Ning ; Guozhu Dong. IEEE Computer Society, 2017. pp. 1132-1133 (IEEE International Conference on Data Mining Workshops, ICDMW).

@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",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017 ; Conference date: 18-11-2017 Through 21-11-2017",

year = "2017",

month = dec,

day = "15",

doi = "10.1109/ICDMW.2017.160",

language = "English (US)",

series = "IEEE International Conference on Data Mining Workshops, ICDMW",

publisher = "IEEE Computer Society",

pages = "1132--1133",

editor = "Raju Gottumukkala and George Karypis and Vijay Raghavan and Xindong Wu and Lucio Miele and Srinivas Aluru and Xia Ning and Guozhu Dong",

booktitle = "Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017",

}

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

AN - SCOPUS:85044089507

T3 - IEEE International Conference on Data Mining Workshops, ICDMW

SP - 1132

EP - 1133

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

A2 - Gottumukkala, Raju

A2 - Karypis, George

A2 - Raghavan, Vijay

A2 - Wu, Xindong

A2 - Miele, Lucio

A2 - Aluru, Srinivas

A2 - Ning, Xia

A2 - Dong, Guozhu

PB - IEEE Computer Society

T2 - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017

Y2 - 18 November 2017 through 21 November 2017

ER -

Uncovering teamwork in networks - Prediction, optimization and explanation

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this