Technology forecasting research is an indispensable means to master the development trend of technology and provide decision support for scientific research management. For patent documents, it does not provide keyword information, which makes the keyword based technology prediction method have some limitations in revealing research content and hidden topics in specific fields. In order to better reflect the technical information in the patent, this paper combines topic analysis and social network analysis to study the development trends of gene editing technology. First, the patent data of gene editing technology is collected from Derwent Innovations Index. Secondly, text mining software is adopted to draw a network graph of topic words, combined with Inverse Document Frequency (IDF) to construct a weighted adjacency matrix, and Social Network Analysis is used to obtain the degree of centrality of technical topic words. Finally, the technological trends of gene editing technology is explored by identifying the core themes of gene editing, highlighting themes and emerging themes, and some meaningful conclusions are also obtained. Based on the analysis results, this study finds that the development of gene editing technology is limited by factors such as ethics, law and cellular pollution. In addition, future research directions will be more inclined to optimize the safety and efficiency of gene editing technology.

中文翻译：

---

基于话题分析和社交网络分析的技术预测：以基因编辑专利为核心的案例研究

技术预测研究是掌握技术发展趋势、为科研管理提供决策支持必不可少的手段。对于专利文献，它没有提供关键词信息，这使得基于关键词的技术预测方法在揭示特定领域的研究内容和隐藏主题方面存在一定的局限性。为了更好地体现专利中的技术信息，本文结合话题分析和社交网络分析，研究基因编辑技术的发展趋势。首先，基因编辑技术的专利数据来自Derwent Innovations Index。其次，采用文本挖掘软件绘制主题词网络图，结合逆文档频率（IDF）构造加权邻接矩阵，社交网络分析用于获取技术主题词的中心度。最后，通过识别基因编辑的核心主题、突出主题和新兴主题，探索基因编辑技术的技术趋势，并得出一些有意义的结论。根据分析结果，本研究发现基因编辑技术的发展受到伦理、法律和细胞污染等因素的限制。此外，未来的研究方向将更倾向于优化基因编辑技术的安全性和效率。也得到了一些有意义的结论。根据分析结果，本研究发现基因编辑技术的发展受到伦理、法律和细胞污染等因素的限制。此外，未来的研究方向将更倾向于优化基因编辑技术的安全性和效率。也得到了一些有意义的结论。根据分析结果，本研究发现基因编辑技术的发展受到伦理、法律和细胞污染等因素的限制。此外，未来的研究方向将更倾向于优化基因编辑技术的安全性和效率。