Emotional mutual information entropy testing of knowledge network
TU Kun
SUN Bin
WANG Dong
Abstract：Aiming at the mutual relationship problem between the hierarchical knowledge structure and netizen emotion in the internet knowledge resource network and in order to accurately grasp the relevance between the node structure of knowledge resource network and emotional process,the emotional information entropy algorithm was proposed. Through constructing such important indexes as the cognitive activity importance,emotional applicability and emotional distance, the applicability of both knowledge structure level and emotional process was effectively explained, and the binary fusion of emotional adjustment and knowledge structure in the internet knowledge resource network was achieved. The results show that the emotional information entropy algorithm can effectively guide the cognitive process and emotional factors, can effectively promote the cognitive effectiveness,and has a higher popularized value.
Keywords：knowledge networkmutual informationemotional testingemotional distanceemotional factoremotional applicabilitycognitive guidanceemotional entropy
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 304-309 )