Analyzing Future Nodes in a Knowledge Network

The paper proposes new methods for knowledge prediction using network analytics and introduces pEgonet, sub-networks within knowledge networks consisting of to-beneighbors of new knowledge. Preliminary results show that it is feasible to predict how future knowledge is added in the knowledge network by utilizing basic properties of pEgonet. The paper presents initial work which will be expanded to derive a method to predict labelled future knowledge, with its impact and structures
Publisher
IEEE Computer Society
Issue Date
2016-06
Language
ENG
Citation

IEEE International Big Data Congress, pp.357 - 360

DOI
10.1109/BigDataCongress.2016.57
URI
http://hdl.handle.net/10203/213971
Appears in Collection
KSE-Conference Papers(학술회의논문)
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