Incorporating Satellite Documents into Co-citation Networks for Scientific Paper Searches

To improve the search performance of retrieval methods using cocitation linkages, this study proposes a technique to enlarge a co-citation network by incorporating satellite documents. This technique specifies satellite documents via full-text searches for terms obtained from documents having cocitation linkages with a seed document; the appropriateness of each co-citation linkage is checked by using the strength of the co-citation context based on the results of parsing documents that cite the seed document. This study evaluates search performance using the proposed technique with IR experiments. Specifically, the random walk with restart algorithm, which can compute similarities between the seed document and each document in the network, is applied to the enlarged and initial networks. Scores of the normalized discounted cumulative gain (nDCG@K) were then compared. The results indicate that the search performance of the retrieval methods using the enlarged network outperforms those of a baseline method using the initial network.