Paper Info
Title
Method for identification of suitable persons in collaborators' networks
Abstract
Finding and recommendation of suitable persons based on their characteristics in social or collaboration networks is still a big challenge. The purpose of this paper is to discover and recommend suitable persons or whole community within a developers' network. The experiments were realized on the data collection of specialized web portal used for collaboration of developers - Codeplex.com. Users registered on this portal can participate in multiple projects, discussions, adding and sharing source codes or documentations, issue a release, etc. In the paper we deal with strength extraction between the developers based on their association with selected terms. We have used the approach for extraction of initial metadata, and we have used modified Jaccard coefficient for description of the strength of relations between developers. Proposed method is usable for creation of derived collaborators' subnetwork, where as input is used the set of words, which will describe the area or sphere, wherein we want to find or recommend suitable community and the words specify relation between the developers in the network. Obtained subnetwork describe a structure of developers' collaboration on projects, described by selected term.
Year
DOI
Venue
2012
10.1007/978-3-642-33260-9_8
CISIM
Keywords
Field
DocType
suitable community,jaccard coefficient,obtained subnetwork,specialized web portal,strength extraction,whole community,selected term,suitable person,collaboration network
USable,Data collection,Metadata,World Wide Web,Source code,Computer science,Artificial intelligence,Jaccard index,Subnetwork,Machine learning
Conference
Volume
ISSN
Citations 
7564
0302-9743
2
PageRank 
References 
Authors
0.41
5
5
Name
Order
Citations
PageRank
Pavla Drazdilova192.40
Alisa Babskova221.43
Jan Martinovic312934.61
Katerina Slaninová47717.45
Štěpán Minks520.41