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With the development of computer technology and easy accessibility of machine readable full\u2010text articles, new weighting schemes for measuring co\u2010citation strength (CCS) have been proposed. However, in previous studies, only distance and sentence similarity are used to adjust CCS when applying co\u2010citation analysis. In this study, we propose a new approach to measuring CCS based on paragraph similarity. Investigation was carried out to compare our approach and traditional author co\u2010citation analysis (TACA), as well as other different parametric ACAs. Preliminary results show that TACA and distance\u2010based ACA (DACA) share many commonalities. In contrast, similarity\u2010based ACAs reveal the different structure from that of TACA and DACA. However, differences in resulting network structure were still found between paragraph\u2010similarity\u2010based ACA (PACA) and sentence\u2010similarity\u2010based ACA (SACA). Compared to SACA, PACA produces less number of factors and clusters and moderate size of clusters.<\/jats:p>","DOI":"10.1002\/pra2.2017.14505401019","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T03:35:36Z","timestamp":1508816136000},"page":"170-178","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Yet another method for author co\u2010citation analysis: A new approach based on paragraph similarity"],"prefix":"10.1002","volume":"54","author":[{"given":"Tsung\u2010Ming","family":"Hsiao","sequence":"first","affiliation":[{"name":"Department of Library and Information Science National Taiwan University  Taiwan"}]},{"given":"Kuang\u2010hua","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Library and Information Science National Taiwan University  Taiwan"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"crossref","unstructured":"Bastian M. 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