Name:
(2014) Influence Discovery in ...
Size:
232.5Kb
Format:
PDF
Description:
Accepted version
Abstract
Assessing the influence between concepts, which include people, physical objects, as well as theoretical ideas, plays a crucial role in understanding and discovering knowledge. Despite the huge amount of literature on knowledge discovery in semantic networks, there has been little attempt to fully classify and investigate the influence, which also includes causality, of a semantic entity on another one as dynamical entities. In this paper we will introduce an approach to discover and assess influence among nodes in a semantic network, with the aim to provide a tool to identify its type and direction. Even though this is still being developed, the preliminary evaluation shows promising and interesting results.Citation
Trovati, M. and Bagdasar, O. (2014), 'Influence discovery in semantic networks: An initial approach', Proceedings of the 16th International Conference on Computer Modelling and Simulation (UKSim), Emmanuel College, Cambridge University, Cambridge: UK, 26-28 MarchPublisher
IEEEJournal
Proceedings of the 16th International Conference on Computer Modelling and Simulation (UKSim)DOI
10.1109/UKSim.2014.48Additional Links
http://ieeexplore.ieee.org/document/7046055/http://uksim.info/uksim2014/uksim2014.htm
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7045626
Type
Meetings and ProceedingsLanguage
enISBN
9781479949229ae974a485f413a2113503eed53cd6c53
10.1109/UKSim.2014.48
Scopus Count
Collections
The following license files are associated with this item: