声明
ABSTRACT
Table of Contents
1 INTRODUCTION
1．1 Background
1．2 Main concepts
1．2．1 Citation network
1．2．2 Influence flow
1．2．3 Main path
1．3 Research status
1．3．1 Research on citation network
1．3．2 Main path analysis
1．4 Research gap
1．5 Significance and research questions of the study
1．5．1 Significance
1．5．2 Research questions
1．6 Structure and innovations of the study
1．6．1 Structure
1．6．2 Innovations
2 THEORETICAL BACKGROUND
2．1 Citation network
2．1．1 Different types of citation
2．1．2 Eigenveetor centrality of node in citation network
2．1．3 Knowledge diffusion in citation network
2．2 Traditional main path traversal counts methods
2．2．1 Search path link count
2．2．2 Search path node pair
2．2．3 Search path count
2．3 Main path search approaches
2．3．1 Loeal search
2．3．2 Global search
2．3．3 Key-route search
2．4 Summary
3 MAIN PATH ANALYSIS BASED ON TRAVIIRSAL COUNTS METHOD
3．1 Method selection of search path link count
3．2 Data and methods
3．2．1 Data
3．2．2 Methods
3．3 Results
3．3．1 Technological main path
3．3．2 Scientific main path
3．4 Summary
4 EQUALLY-DIVIDED INFLUENCE FLOW ALGORITHMS WEIGHTING THE PATH FOR MAIN PATH ANALYSIS
4．1 Influence flow algorithm based on PageRank
4．1．1 Problem statement
4．1．2 Algorithm description
4．1．3 Methods
4．1．4 Results
4．2 Influence flow algorithm based on single traversal
4．2．1 Problem statement
4．2．2 Algorithm description
4．2．3 Methods
4．2．4 Results
4．3 Summary
5 UNEQUALLY-DIVIDED INFLUENCE FLOW ALGORITHMS BASED ON COUPLNG STRENGTH WEIGHTING PATH FOR MAIN PATH ANALYSIS
5．1 Problem statement
5．2 Algorithm descriptive
5．3 Data and methods
5．3．1 Data
5．3．2 Methods
5．4 Results
5．5 Summary
6 CONCLUSION AND RECOMMNDATIONS
6．1 Conclusion
6．2 Limitations of the study
6．3 Suggestions for future research
REFERENCES
APPENDIX
RESEARCH ACHIEVEMENTS
ACKOWLDGEMENT
华中师范大学;
