通过在专利引文网络中添加鬼边提高技术轨迹的识别效果

IF 3.7 4区 管理学 Q2 BUSINESS Electronic Commerce Research Pub Date : 2024-03-23 DOI:10.1007/s10660-024-09830-9
Yulin Liu, Lirong Jian
{"title":"通过在专利引文网络中添加鬼边提高技术轨迹的识别效果","authors":"Yulin Liu, Lirong Jian","doi":"10.1007/s10660-024-09830-9","DOIUrl":null,"url":null,"abstract":"<p>This paper proposes a method to improve the identification effect of technical Trajectory by adding ghost edges in the patent citation network, which includes calculating patent technology similarity, constructing ghost edge candidate set, adding the ghost edges by evaluating the utility measures, and using main path analysis to identify four technical trajectories. Taking US e-commerce data technology as an example, we find the following three points. (1) Adding a small amount of ghost edges in the patent citation network helps to increase the accuracy of technical trajectory identification, but adding a large number of ghost edges may cause destructive effects on the network structure and lead to identification bias. The experience value of this case is at most 10%. (2) Different construction methods of ghost edge candidate sets will have an important impact on the result of improving the trajectory recognition. No matter which candidate set is used, there is no deviation in the primary technical trajectory identification. However, there are differences in the subsequent technical trajectory identification. (3) The addition of the ghost edges further improves the network characteristics, especially the technical trajectory differences in subsequent locations which are identified.</p>","PeriodicalId":47264,"journal":{"name":"Electronic Commerce Research","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving the identification effect of technical trajectory by adding ghost edges in the patent citation network\",\"authors\":\"Yulin Liu, Lirong Jian\",\"doi\":\"10.1007/s10660-024-09830-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper proposes a method to improve the identification effect of technical Trajectory by adding ghost edges in the patent citation network, which includes calculating patent technology similarity, constructing ghost edge candidate set, adding the ghost edges by evaluating the utility measures, and using main path analysis to identify four technical trajectories. Taking US e-commerce data technology as an example, we find the following three points. (1) Adding a small amount of ghost edges in the patent citation network helps to increase the accuracy of technical trajectory identification, but adding a large number of ghost edges may cause destructive effects on the network structure and lead to identification bias. The experience value of this case is at most 10%. (2) Different construction methods of ghost edge candidate sets will have an important impact on the result of improving the trajectory recognition. No matter which candidate set is used, there is no deviation in the primary technical trajectory identification. However, there are differences in the subsequent technical trajectory identification. (3) The addition of the ghost edges further improves the network characteristics, especially the technical trajectory differences in subsequent locations which are identified.</p>\",\"PeriodicalId\":47264,\"journal\":{\"name\":\"Electronic Commerce Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Commerce Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s10660-024-09830-9\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Commerce Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10660-024-09830-9","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种通过在专利引用网络中添加鬼边来提高技术轨迹识别效果的方法,包括计算专利技术相似度、构建鬼边候选集、通过评估效用度量来添加鬼边,以及利用主路径分析来识别四种技术轨迹。以美国电子商务数据技术为例,我们发现以下三点。(1)在专利引用网络中加入少量的幽灵边有助于提高技术轨迹识别的准确性,但加入大量的幽灵边可能会对网络结构造成破坏性影响,导致识别偏差。这种情况的经验值最多为 10%。(2)鬼边候选集的构建方法不同会对提高轨迹识别的效果产生重要影响。无论使用哪种候选集,初级技术轨迹识别都不会出现偏差。但在后续的技术轨迹识别中却存在差异。(3) 添加幽灵边可进一步改善网络特性,尤其是在后续位置的技术轨迹识别上的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Improving the identification effect of technical trajectory by adding ghost edges in the patent citation network

This paper proposes a method to improve the identification effect of technical Trajectory by adding ghost edges in the patent citation network, which includes calculating patent technology similarity, constructing ghost edge candidate set, adding the ghost edges by evaluating the utility measures, and using main path analysis to identify four technical trajectories. Taking US e-commerce data technology as an example, we find the following three points. (1) Adding a small amount of ghost edges in the patent citation network helps to increase the accuracy of technical trajectory identification, but adding a large number of ghost edges may cause destructive effects on the network structure and lead to identification bias. The experience value of this case is at most 10%. (2) Different construction methods of ghost edge candidate sets will have an important impact on the result of improving the trajectory recognition. No matter which candidate set is used, there is no deviation in the primary technical trajectory identification. However, there are differences in the subsequent technical trajectory identification. (3) The addition of the ghost edges further improves the network characteristics, especially the technical trajectory differences in subsequent locations which are identified.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.50
自引率
12.80%
发文量
99
期刊介绍: The Internet and the World Wide Web have brought a fundamental change in the way that individuals access data, information and services. Individuals have access to vast amounts of data, to experts and services that are not limited in time or space. This has forced business to change the way in which they conduct their commercial transactions with their end customers and with other businesses, resulting in the development of a global market through the Internet. The emergence of the Internet and electronic commerce raises many new research issues. The Electronic Commerce Research journal will serve as a forum for stimulating and disseminating research into all facets of electronic commerce - from research into core enabling technologies to work on assessing and understanding the implications of these technologies on societies, economies, businesses and individuals. The journal concentrates on theoretical as well as empirical research that leads to better understanding of electronic commerce and its implications. Topics covered by the journal include, but are not restricted to the following subjects as they relate to the Internet and electronic commerce: Dissemination of services through the Internet;Intelligent agents technologies and their impact;The global impact of electronic commerce;The economics of electronic commerce;Fraud reduction on the Internet;Mobile electronic commerce;Virtual electronic commerce systems;Application of computer and communication technologies to electronic commerce;Electronic market mechanisms and their impact;Auctioning over the Internet;Business models of Internet based companies;Service creation and provisioning;The job market created by the Internet and electronic commerce;Security, privacy, authorization and authentication of users and transactions on the Internet;Electronic data interc hange over the Internet;Electronic payment systems and electronic funds transfer;The impact of electronic commerce on organizational structures and processes;Supply chain management through the Internet;Marketing on the Internet;User adaptive advertisement;Standards in electronic commerce and their analysis;Metrics, measurement and prediction of user activity;On-line stock markets and financial trading;User devices for accessing the Internet and conducting electronic transactions;Efficient search techniques and engines on the WWW;Web based languages (e.g., HTML, XML, VRML, Java);Multimedia storage and distribution;Internet;Collaborative learning, gaming and work;Presentation page design techniques and tools;Virtual reality on the net and 3D visualization;Browsers and user interfaces;Web site management techniques and tools;Managing middleware to support electronic commerce;Web based education, and training;Electronic journals and publishing on the Internet;Legal issues, taxation and property rights;Modeling and design of networks to support Internet applications;Modeling, design and sizing of web site servers;Reliability of intensive on-line applications;Pervasive devices and pervasive computing in electronic commerce;Workflow for electronic commerce applications;Coordination technologies for electronic commerce;Personalization and mass customization technologies;Marketing and customer relationship management in electronic commerce;Service creation and provisioning. Audience: Academics and professionals involved in electronic commerce research and the application and use of the Internet. Managers, consultants, decision-makers and developers who value the use of electronic com merce research results. Special Issues: Electronic Commerce Research publishes from time to time a special issue of the devoted to a single subject area. If interested in serving as a guest editor for a special issue, please contact the Editor-in-Chief J. Christopher Westland at westland@uic.edu with a proposal for the special issue. Officially cited as: Electron Commer Res
期刊最新文献
Design of a high-dimensional information decision model for smart supply chains using IoT data traceability in the post-public health crisis era Exploring heterogeneous differences between Chinese and Western customer preferences for restaurant attributes from online reviews Co-creation of metaverse brands equity with the impact of celebrity virtual images and real-life influence: from the perspective of experience-dominant logic Price promotion does not always work: online reviews, price-quality heuristics, and risk aversion Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1