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An Investigative Analysis on Finding Patterns in Co-Author and Co-Institution Networks for LIDAR Research

机译:激光雷达研究共同作者和协同机构网络发现模式的调查分析

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Social Network Analysis (SNA) has proven itself to embody the complex relationships between actors of groups inside out. Not only that, but it has also emerged as a new paradigm to investigate the structure of ties and its role on relationships between the actors. This research aims to investigate the patterns of relationships between authors and institutions working in Light Detection And Ranging (LIDAR) research area. LIDAR has been in the limelight during recent years, especially autonomous vehicles for map-making and objection detection tasks. Researchers need insight into the current contributors and research areas to devise policies and set future targets for this important technology. Current study performs SNA to identify potential institutions and researchers that can help to achieve those goals. National and international co-authorship is analysed separately. A total of 4274 papers from Web of Science (WOS) database are collected from 1998 to September 2017. SNA measures of degree, closeness, betweenness, and eigenvector centrality along with descriptive analysis are employed to study the patterns. Analysis reveals that the United States of America (USA) is the most central and significant country in terms of international co-authorship. China, Germany, the United Kingdom (UK) and Canada are ranked 2nd, 3rd, 4th and 5th in this list respectively. For co-institution network, National Aeronautics and Space Administration (NASA), University of Idaho and California Institute of Technology USA occupy 1st, 2nd, and 5th position respectively when top 5 institutions are considered. Consiglio NazionaleDelle Ricerche of Italy occupies 3rd position while Chinese Academy of Science, China, secures 4th place concerning betweenness centrality. Descriptive analysis reveals that during the last decade, co-author collaboration in scientific research has been elevated. Results show that research articles with 6 or more authors have higher citations than those with two to five authors. In addition, journals producing a higher number of papers and their corresponding citations are also discussed.
机译:社交网络分析(SNA)已被证明自己以体现在内部群体中的群体之间的复杂关系。不仅如此,而且还出现为一个新的范例来调查关系的结构及其在演员之间的关系中的作用。本研究旨在调查在光检测和测距(LIDAR)研究区域工作的作者和机构之间的关系模式。近年来,LIDAR一直处于敏捷中,特别是自治车辆用于地图制作和异议检测任务。研究人员需要深入了解当前的贡献者和研究领域,以制定政策,并为这项重要技术设定未来的目标。目前的研究表演了SNA,以确定有助于实现这些目标的潜在机构和研究人员。国家和国际共同作者分别分析。从1998年到2017年到9月,从1998年到2017年9月收集了4274篇论文。纳迦程度,亲近,之间和特征向量的衡量标准与描述性分析一起研究。分析表明,美利坚合众国(美国)是国际共同作者中最中心和重要的国家。中国,德国,英国(英国)分别在本名单中排名第二,第3,第4和第5号。对于共同机构网络,美国国家航空航天局(NASA),爱达荷大学和加州理工学院美国占据了前5个机构的第1,第2和第5个位置。 Consiglio Nazionaledelle Ricerche意大利占据第3职位,而中国科学院,中国院校确保第四届有关中心地位的第四位。描述性分析表明,在过去十年中,科学研究的共同作者合作已经提升。结果表明,具有6名或更多作者的研究文章比有两到五个作者的引用具有更高的引用。此外,还讨论了生产较高课程及其相应引文的期刊。

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