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两侧同时换到之前的修订记录 前一修订版 后一修订版 | 前一修订版 | ||
zh:notes:common_specialty [2021/03/04 19:56] pzczxs [Format Data for the CDTM Model] |
zh:notes:common_specialty [2022/11/08 07:33] (当前版本) pzczxs [Citation Information] |
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===== Citation Information ===== | ===== Citation Information ===== | ||
- | Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2020. An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents. //Scientometrics//. | + | Shuo Xu, Ling Li, Xin An, Liyuan Hao, and Guancan Yang, 2021. [[https://doi.org/10.1007/s11192-021-04085-9|An Approach for Detecting the Commonality and Specialty between Scientific Publications and Patents]]. //Scientometrics//, Vol. 126, No. 9, pp. 7445-7475. |
===== Requirements ===== | ===== Requirements ===== | ||
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===== Descriptive Statistics and Word Cloud ===== | ===== Descriptive Statistics and Word Cloud ===== | ||
- | To run <color red>Statistics.ipynb</color> and <color red>overlap.ipynb</color> in the directory <color red>indicators/before</color> to count the number of (overlapped) tokens and (overlapped) unique words; | + | To run <color red>Statistics.py</color> and <color red>overlap.py</color> in the directory <color red>indicators/before</color> to count the number of (overlapped) tokens and (overlapped) unique words; |
- | To run <color red>Mean_Statistics.ipynb</color>, <color red>Mean_overlap.ipynb</color> and <color red>Non_overlap.ipynb</color> in the directory <color red>indicators/after</color> to count the number of (overlapped) tokens and (overlapped) unique words, and save overlapped words with their corresponding word frequencies. | + | To run <color red>Mean_Statistics.py</color>, <color red>Mean_overlap.py</color> and <color red>Non_overlap.py</color> in the directory <color red>indicators/after</color> to count the number of (overlapped) tokens and (overlapped) unique words, and save overlapped words with their corresponding word frequencies. |
===== Format Data for the CDTM Model ===== | ===== Format Data for the CDTM Model ===== |