[目的/意義]在跨學科現象日趨明顯的背景下,為促進學科融合發展,為跨學科合作研究提供新思路,文章運用閉合式非相關知識發現方法,對兩學科的潛在跨學科合作研究主題進行識別,并發現潛在主題的關聯過程。[方法/過程]基于跨學科關鍵詞共現網絡,綜合運用Ucinet和VBA,篩選距離矩陣中距離為2的關鍵詞對作為潛在跨學科合作研究主題;定義主題跨學科合作潛力指數(TICPI)及其計算公式,計算主題的跨學科合作潛力;定義聯系路徑的可行性強度(PV)尋找合作主題的最佳聯系路徑。[結果/結論]在以情報學與計算機科學為例的實證研究中,發現兩個學科存在間接聯系的非相關跨學科合作主題及其最佳聯系路徑。

[Purpose/significance] As interdisciplinary phenomenon has become increasingly obvious,in order to promote the development of discipline integration and provide new ideas for interdisciplinary collaboration,this paper uses closed and irrelevant knowledge discovery method to identify potential research topics of interdisciplinary collaboration and their association processes.[Method/process]Based on interdisciplinary keywords co-occurrence network,the paper first uses Ucinet and VBA to screen the keywords that the distance is 2 in distance matrix as potential interdisciplinary collaboration topics,Then defines Topic Interdisciplinary Cooperation Potential Index( TICPI) to calculate topic's cooperation potential,at last defines Practicable Value( PV) to find the best association path. [Result/conclusion] In the empirical research on Information Science and Computer Science,the paper finds their irrelevant cooperation topics that have indirect connection and the best association path of the topics.