TY - JOUR
T1 - Academic Team Formulation Based on Liebig's Barrel
T2 - Discovery of Anticask Effect
AU - Yu, Shuo
AU - Xia, Feng
AU - Liu, Huan
N1 - Funding Information:
Manuscript received December 1, 2018; revised March 3, 2019; accepted April 9, 2019. Date of publication June 13, 2019; date of current version October 7, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61872054 and in part by the Fundamental Research Funds for the Central Universities under Grant DUT19LAB23. (Corresponding author: Feng Xia.) S. Yu and F. Xia are with the Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, China (e-mail: y_shuo@outlook.com; f.xia@ieee.org).
Publisher Copyright:
© 2014 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Academic team formulation is one of the most critical and fundamental issues in team research. Inspired by the Liebig's metaphor, we formulate an academic team by a barrel composed of planks, namely, Liebig's barrel. We study the capacity of Liebig's barrel from several aspects. Then, we abstract the features in academic teams as those in Liebig's barrel due to the correspondences between team size and plank number, individual member ability and plank height, individual contribution and plank width, allocation of work and plank combination, teamwork attitude and plank tilt angle, team output property, and barrel's content granularity. The investigated model can also be extended to formulate various multifactor objective optimization issues for team science research. In order to verify the rationality of the proposed model, we implement case studies of this model in both the American Physics Society and the Microsoft Academic Graph Computer Science data sets. The experimental results show that the investigated model is effective in academic team formulation. Moreover, an interesting phenomenon is discovered in the proposed model, which we name as the anticask effect that a team's output quality mainly lies on the team member having the maximal research ability rather than those having minimal research ability. We then analyze the underlying reasons for the anticask effect and multiple-factor interaction on academic teams.
AB - Academic team formulation is one of the most critical and fundamental issues in team research. Inspired by the Liebig's metaphor, we formulate an academic team by a barrel composed of planks, namely, Liebig's barrel. We study the capacity of Liebig's barrel from several aspects. Then, we abstract the features in academic teams as those in Liebig's barrel due to the correspondences between team size and plank number, individual member ability and plank height, individual contribution and plank width, allocation of work and plank combination, teamwork attitude and plank tilt angle, team output property, and barrel's content granularity. The investigated model can also be extended to formulate various multifactor objective optimization issues for team science research. In order to verify the rationality of the proposed model, we implement case studies of this model in both the American Physics Society and the Microsoft Academic Graph Computer Science data sets. The experimental results show that the investigated model is effective in academic team formulation. Moreover, an interesting phenomenon is discovered in the proposed model, which we name as the anticask effect that a team's output quality mainly lies on the team member having the maximal research ability rather than those having minimal research ability. We then analyze the underlying reasons for the anticask effect and multiple-factor interaction on academic teams.
KW - Academic team formulation
KW - Liebig's barrel
KW - Scholarly big data analysis
KW - team science
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U2 - 10.1109/TCSS.2019.2913460
DO - 10.1109/TCSS.2019.2913460
M3 - Article
AN - SCOPUS:85067831036
SN - 2329-924X
VL - 6
SP - 1083
EP - 1094
JO - IEEE Transactions on Computational Social Systems
JF - IEEE Transactions on Computational Social Systems
IS - 5
M1 - 8736490
ER -