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| Tracing the Knowledge Flow Main Path Based on Important Citations |
| Xia Hongyu, Hu Qian, Wang Zhongyi |
| School of Information Management, Central China Normal University, Wuhan 430079 |
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Abstract The traditional main path method based on citation network analysis does not consider the knowledge contribution of the cited literature to citations. It is considered that all citations of an academic document are of equal importance to the document, even though there can be various reasons and different levels of importance from one document to another. This paper applied main path analysis, taking different important citation levels into consideration, and constructed a citation importance index as a reference variable for adjusting traversal counts. The experimental results showed that the key main path and global main path after weighted adjustment of citation importance achieved the highest Precision and F1 scores in this experiment. This research proves that the weighted adjustment with citation importance can increase the continuity of the main path link in time, improving the correlation between nodes. This improves the traceability of the main path analysis method and the ability to find key nodes.
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Received: 14 May 2021
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