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大连理工大学 [12]
武汉大学 [12]
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北京大学 [3]
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期刊论文 [33]
会议论文 [9]
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2018 [8]
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Spatial Structure, Hierarchy and Formation Mechanisms of Scientific Collaboration Networks: Evidence of the Belt and Road Regions
期刊论文
CHINESE GEOGRAPHICAL SCIENCE, 2020, 卷号: 30, 期号: 6, 页码: 959-975
作者:
Gu Weinan
;
Liu Hui
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/03/15
scientific collaboration networks
spatial structure
hierarchy
formation mechanisms
the Belt and Road regions
Resilience and Its Thresholds of Scientific Collaboration Network
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 69339-69350
作者:
Liu, Danqing
;
Wu, Zhenqiang
;
Guo, Qiang
;
Shi, Yun
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/08/22
Scientific collaboration network
knowledge dissemination model
network resilience
resilience thresholds
resilience-based strategies
Sustainable Collaborator Recommendation Based on Conference Closure
期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 页码: 311-322
作者:
Wang, Wei
;
Liu, Jiaying
;
Yang, Zhuo
;
Kong, Xiangjie
;
Xia, Feng
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/02
Academic conferences
collaboration recommendation
Information overloads
Scientific collaboration
State of the art, Recommender systems
Shifu: Deep learning based advisor-advisee relationship mining in scholarly big data
会议论文
26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, 2017-04-03
作者:
Wang, Wei
;
Liu, Jiaying
;
Xia, Feng
;
King, Irwin
;
Tong, Hanghang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Big data
Data mining
World Wide Web, Co-author networks
Identification method
Network characteristics
Relation mining
Scientific collaboration networks
Social relationships
Star identification
State-of-the-art machine learning methods, Deep learning
Is scientific collaboration sustainability predictable?
会议论文
26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, 2017-04-03
作者:
Wang, Wei
;
Cui, Zixin
;
Gao, Tong
;
Yu, Shuo
;
Kong, Xiangjie
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
World Wide Web, Baseline models
Real-world
Research interests
Scientific collaboration
Stage prediction
Structural similarity indices
Sustainable collaboration, Sustainable development
Science of Scientific Team Science: A survey
期刊论文
Computer Science Review, 2019, 卷号: 31, 页码: 72-83
作者:
Yu, Shuo
;
Bedru, Hayat Dino
;
Lee, Ivan
;
Xia, Feng
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Computer science, Collaboration environments
Collaborative behavior
Cross-disciplinary research
Knowledge production
Science of Scientific Team Science
Scientific collaboration
Scientific teamwork
Team performance, Surveys
Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google
期刊论文
SCIENTOMETRICS, 2019, 卷号: 121, 期号: 1
作者:
Zhao, Rongying
;
Li, Xinlai
;
Liang, Zhisen
;
Li, Danyang
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  |  
浏览/下载:46/0
  |  
提交时间:2019/12/05
Funded paper
Funding strategy
Collaboration preferences
Scientific collaboration
Hierarchical cluster analysis
Social network analysis
Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google
期刊论文
SCIENTOMETRICS, 2019, 卷号: 121, 期号: 1
作者:
Zhao, Rongying
;
Li, Xinlai
;
Liang, Zhisen
;
Li, Danyang
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  |  
浏览/下载:44/0
  |  
提交时间:2019/12/06
Funded paper
Funding strategy
Collaboration preferences
Scientific collaboration
Hierarchical cluster analysis
Social network analysis
Hierarchy, clusters, and spatial differences in Chinese inter-city networks constructed by scientific collaborators
期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 卷号: 28, 期号: 12, 页码: 1793-1809
作者:
Ma Haitao
;
Fang Chuanglin
;
Lin Sainan
;
Huang Xiaodong
;
Xu Chengdong
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/05/23
Chinese city networks
knowledge flows
scientific collaboration
co-authored papers
knowledge city clusters
China academic journal
innovative country
regional differences
Disappearing Link Prediction in Scientific Collaboration Networks
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 69702-69712
作者:
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Disappearing link prediction
scientific collaboration networks
structural similarity
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