J. Zhang, J. Tang, and J. Li. Advances in Databases: Concepts, Systems and Applications, volume 4443 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2007)
DOI: 10.1007/978-3-540-71703-4_106
Abstract
This paper addresses the issue of expert finding in a social network. The task of expert finding, as one of the most important research issues in social networks, is aimed at identifying persons with relevant expertise or experience for a given topic. In this paper, we propose a propagation-based approach that takes into consideration of both person local information and network information (e.g. relationships between persons). Experimental results show that our approach can outperform the baseline approach.
%0 Book Section
%1 noKey
%A Zhang, Jing
%A Tang, Jie
%A Li, Juanzi
%B Advances in Databases: Concepts, Systems and Applications
%D 2007
%E Kotagiri, Ramamohanarao
%E Krishna, P.Radha
%E Mohania, Mukesh
%E Nantajeewarawat, Ekawit
%I Springer Berlin Heidelberg
%K expert_finding socialnetwork
%P 1066-1069
%R 10.1007/978-3-540-71703-4_106
%T Expert Finding in a Social Network
%U http://dx.doi.org/10.1007/978-3-540-71703-4_106
%V 4443
%X This paper addresses the issue of expert finding in a social network. The task of expert finding, as one of the most important research issues in social networks, is aimed at identifying persons with relevant expertise or experience for a given topic. In this paper, we propose a propagation-based approach that takes into consideration of both person local information and network information (e.g. relationships between persons). Experimental results show that our approach can outperform the baseline approach.
%@ 978-3-540-71702-7
@incollection{noKey,
abstract = {This paper addresses the issue of expert finding in a social network. The task of expert finding, as one of the most important research issues in social networks, is aimed at identifying persons with relevant expertise or experience for a given topic. In this paper, we propose a propagation-based approach that takes into consideration of both person local information and network information (e.g. relationships between persons). Experimental results show that our approach can outperform the baseline approach.},
added-at = {2015-03-03T11:37:28.000+0100},
author = {Zhang, Jing and Tang, Jie and Li, Juanzi},
biburl = {https://www.bibsonomy.org/bibtex/2902b3df37439e72b7a9146b8eca919c7/asmelash},
booktitle = {Advances in Databases: Concepts, Systems and Applications},
description = {Expert Finding in a Social Network - Springer},
doi = {10.1007/978-3-540-71703-4_106},
editor = {Kotagiri, Ramamohanarao and Krishna, P.Radha and Mohania, Mukesh and Nantajeewarawat, Ekawit},
interhash = {f8a10c7b16c9b1c79d27282f2a4ef4d1},
intrahash = {902b3df37439e72b7a9146b8eca919c7},
isbn = {978-3-540-71702-7},
keywords = {expert_finding socialnetwork},
language = {English},
pages = {1066-1069},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2015-03-03T11:37:28.000+0100},
title = {Expert Finding in a Social Network},
url = {http://dx.doi.org/10.1007/978-3-540-71703-4_106},
volume = 4443,
year = 2007
}