Evolutionary features of academic articles co-keyword network and keywords co-occurrence network: Based on two-mode affiliation network

Physica A: Statistical Mechanics and its Applications

Volumn 450, Issue , 2016, Pages 657-669

  Li, Huajiao ^a,b,c,d   An, Haizhong ^a,b,d   Wang, Yue ^a,e   Huang, Jiachen ^f   Gao, Xiangyun ^a,b,d  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b China University of Geosciences Beijing)   (China)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d China University of Geosciences   (China)

^e Ministry of Natural Resources of the People's Republic of China   (China)

^f CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Articles co keyword network; Innovation coefficient; Keywords co occurrence network; Topological features evolution; Two mode affiliation network

Indexed keywords

TEXT MINING; TOPOLOGY;

CO-OCCURRENCE NETWORKS; CO-OCCURRENCE RELATIONSHIPS; HOLISTIC PERSPECTIVES; INTEGRATED METHOD; KEYWORD NETWORKS; LITERATURE RESEARCHES; RAPID UNDERSTANDING; TOPOLOGICAL FEATURES;

COMPLEX NETWORKS;

EID: 84957553652     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2016.01.017     Document Type: Article

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