Paper Info
Title
Forming a well-connected team of experts based on a social network graph: a novel weighting approach
Abstract
This paper studies the team formation problem, which includes a social collaboration network and a project, comprised of a number of tasks, each requiring a particular skill. The goal is to select the most appropriate members for the team, who not only cover the required project skills, but also have the highest degree of expertise according to the team cost. This study presents a more comprehensive initial definition of team formation in which each task is performed by a specific number of experts. Moreover, a method is proposed, which selects the best team, such that the selected members have the highest degree of cooperation for each task. The distance function is also changed to provide a more logical calculation of the shortest path between experts. Furthermore, some team members have more relationships with others, which makes them more important members in a team. This is an important factor in computing the communication cost of team members. Empirical results on DBLP dataset show the superiority of the proposed approach. Moreover, the proposed method reduces project risk by considering team members’ levels of expertise and insures the success of the given project.
Year
DOI
Venue
2019
10.1007/s13278-019-0592-8
Social Network Analysis and Mining
Keywords
DocType
Volume
Social networks, Team formation, Expert team, Expertise level, Team cost
Journal
9
Issue
ISSN
Citations 
1
1869-5450
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Bahareh Ashenagar110.70
Ali Hamzeh221429.47