科研协作超网络建模与节点重要性度量

Quan Xiao
{"title":"科研协作超网络建模与节点重要性度量","authors":"Quan Xiao","doi":"10.1109/ICMECG.2014.31","DOIUrl":null,"url":null,"abstract":"In research collaboration organizations, to evaluate the contributions of researchers and then to identify core researchers is an important issue. Network is a basic model to investigate this question, but with increasingly complex collaborative behavior, it shows limitations for semantic representations. In this paper, by introducing hyper network, a more powerful modeling tool than traditional network to construct scientific research collaboration hyper network (SRCH), we measure the importance of researchers in two aspects as collaborative relationship structure and collaborative achievement value. An additive weighting method with adjustable parameters is utilized to integrate the evaluations into a synthetical one. Data instance verifies that our measuring method for SRCH is reasonable and effective.","PeriodicalId":413431,"journal":{"name":"2014 International Conference on Management of e-Commerce and e-Government","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Scientific Research Collaboration Hypernetwork Modeling and Node Importance Measuring\",\"authors\":\"Quan Xiao\",\"doi\":\"10.1109/ICMECG.2014.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In research collaboration organizations, to evaluate the contributions of researchers and then to identify core researchers is an important issue. Network is a basic model to investigate this question, but with increasingly complex collaborative behavior, it shows limitations for semantic representations. In this paper, by introducing hyper network, a more powerful modeling tool than traditional network to construct scientific research collaboration hyper network (SRCH), we measure the importance of researchers in two aspects as collaborative relationship structure and collaborative achievement value. An additive weighting method with adjustable parameters is utilized to integrate the evaluations into a synthetical one. Data instance verifies that our measuring method for SRCH is reasonable and effective.\",\"PeriodicalId\":413431,\"journal\":{\"name\":\"2014 International Conference on Management of e-Commerce and e-Government\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Management of e-Commerce and e-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECG.2014.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Management of e-Commerce and e-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECG.2014.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在科研合作组织中,如何评价科研人员的贡献,进而确定核心科研人员是一个重要问题。网络是研究这一问题的基本模型,但随着协作行为的日益复杂,它在语义表示方面显示出局限性。本文通过引入超网络这一比传统网络更强大的建模工具来构建科研协作超网络(SRCH),从协作关系结构和协作成果价值两个方面衡量科研人员的重要性。采用参数可调的加性加权法,将评价结果整合为综合评价。数据实例验证了所提出的SRCH测量方法的合理性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scientific Research Collaboration Hypernetwork Modeling and Node Importance Measuring
In research collaboration organizations, to evaluate the contributions of researchers and then to identify core researchers is an important issue. Network is a basic model to investigate this question, but with increasingly complex collaborative behavior, it shows limitations for semantic representations. In this paper, by introducing hyper network, a more powerful modeling tool than traditional network to construct scientific research collaboration hyper network (SRCH), we measure the importance of researchers in two aspects as collaborative relationship structure and collaborative achievement value. An additive weighting method with adjustable parameters is utilized to integrate the evaluations into a synthetical one. Data instance verifies that our measuring method for SRCH is reasonable and effective.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信