研究不同的研究社区:作者网络

Shrabani Ghosh
{"title":"研究不同的研究社区:作者网络","authors":"Shrabani Ghosh","doi":"arxiv-2409.00081","DOIUrl":null,"url":null,"abstract":"Google Scholar is one of the top search engines to access research articles\nacross multiple disciplines for scholarly literature. Google scholar advance\nsearch option gives the privilege to extract articles based on phrases,\npublishers name, authors name, time duration etc. In this work, we collected\nGoogle Scholar data (2000-2021) for two different research domains in computer\nscience: Data Mining and Software Engineering. The scholar database resources\nare powerful for network analysis, data mining, and identify links between\nauthors via authorship network. We examined coauthor-ship network for each\ndomain and studied their network structure. Extensive experiments are performed\nto analyze publications trend and identifying influential authors and\naffiliated organizations for each domain. The network analysis shows that the\nnetworks features are distinct from one another and exhibit small communities\nwithin the influential authors of a particular domain.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"59 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Examining Different Research Communities: Authorship Network\",\"authors\":\"Shrabani Ghosh\",\"doi\":\"arxiv-2409.00081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Google Scholar is one of the top search engines to access research articles\\nacross multiple disciplines for scholarly literature. Google scholar advance\\nsearch option gives the privilege to extract articles based on phrases,\\npublishers name, authors name, time duration etc. In this work, we collected\\nGoogle Scholar data (2000-2021) for two different research domains in computer\\nscience: Data Mining and Software Engineering. The scholar database resources\\nare powerful for network analysis, data mining, and identify links between\\nauthors via authorship network. We examined coauthor-ship network for each\\ndomain and studied their network structure. Extensive experiments are performed\\nto analyze publications trend and identifying influential authors and\\naffiliated organizations for each domain. The network analysis shows that the\\nnetworks features are distinct from one another and exhibit small communities\\nwithin the influential authors of a particular domain.\",\"PeriodicalId\":501285,\"journal\":{\"name\":\"arXiv - CS - Digital Libraries\",\"volume\":\"59 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Digital Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.00081\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.00081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

Google Scholar 是访问跨学科学术文献研究文章的顶级搜索引擎之一。谷歌学者的高级搜索选项提供了根据短语、出版商名称、作者姓名、时间长度等提取文章的特权。在这项工作中,我们收集了计算机科学领域两个不同研究领域的谷歌学术数据(2000-2021 年):数据挖掘和软件工程。学者数据库资源具有强大的网络分析和数据挖掘功能,可通过作者关系网络识别作者之间的联系。我们检查了每个领域的合著者关系网络,并研究了它们的网络结构。我们进行了广泛的实验,以分析每个领域的论文发表趋势,并识别有影响力的作者和附属机构。网络分析结果表明,这些网络特征彼此不同,并在特定领域有影响力的作者中呈现出小社区的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Examining Different Research Communities: Authorship Network
Google Scholar is one of the top search engines to access research articles across multiple disciplines for scholarly literature. Google scholar advance search option gives the privilege to extract articles based on phrases, publishers name, authors name, time duration etc. In this work, we collected Google Scholar data (2000-2021) for two different research domains in computer science: Data Mining and Software Engineering. The scholar database resources are powerful for network analysis, data mining, and identify links between authors via authorship network. We examined coauthor-ship network for each domain and studied their network structure. Extensive experiments are performed to analyze publications trend and identifying influential authors and affiliated organizations for each domain. The network analysis shows that the networks features are distinct from one another and exhibit small communities within the influential authors of a particular domain.
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
自引率
0.00%
发文量
0
期刊最新文献
Publishing Instincts: An Exploration-Exploitation Framework for Studying Academic Publishing Behavior and "Home Venues" Research Citations Building Trust in Wikipedia Evaluating the Linguistic Coverage of OpenAlex: An Assessment of Metadata Accuracy and Completeness Towards understanding evolution of science through language model series Ensuring Adherence to Standards in Experiment-Related Metadata Entered Via Spreadsheets
×
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