Output details
11 - Computer Science and Informatics
Brunel University London
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Output 0 of 0 in the submission
Article title
Assessing Technical Candidates on the Social Web
Type
D - Journal article
Title of journal
IEEE Software
Article number
-
Volume number
30
Issue number
1
First page of article
45
ISSN of journal
0740-7459
Year of publication
2013
URL
-
Number of additional authors
2
Additional information
<7> This work extends an earlier paper accepted at the Mining Software Repositories conference with a 28% acceptance rate (MSR 2012; not submitted). The work focuses on social networks and it led to an invitation to join a large European Consortium and the subsequent success of a FP7 proposal in 2013 on water savings, for which a social network will be built.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-