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“The Monkey King Meets the Spiderman”:Narrative Inquiry into Chinese Students’Academic Socialization Experiences in a U.S.University
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作者 Gang ZHU 《Frontiers of Education in China》 2017年第1期98-119,共22页
This narrative study explores four Chinese students’academic socialization experiences in one research-intensive public university in the US.By drawing upon Wenger’s(1998)communities of practice and Gee’s(2000)theo... This narrative study explores four Chinese students’academic socialization experiences in one research-intensive public university in the US.By drawing upon Wenger’s(1998)communities of practice and Gee’s(2000)theorizing on identity as the synthesized theoretical framework,this research uncovers four Chinese students’academic socialization stories nestled in the shifting cross-cultural landscape.Meanwhile,this study reveals that the Chinese students’academic socialization intersects a matrix of factors,which can be categorized into“personal landscape”and“professional landscape.”Last,this narrative case study concluded that the Chinese students’academic socialization involves the continuous negotiations of their multiple identities embedded in the cross-cultural contexts. 展开更多
关键词 academic socialization Chinese students communities of practice identity construction narrative inquiry
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AMiner:Search and Mining of Academic Social Networks 被引量:12
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作者 Huaiyu Wan Yutao Zhang +1 位作者 Jing Zhang Jie Tang 《Data Intelligence》 2019年第1期58-76,共19页
AMiner is a novel online academic search and mining system,and it aims to provide a systematic modeling approach to help researchers and scientists gain a deeper understanding of the large and heterogeneous networks f... AMiner is a novel online academic search and mining system,and it aims to provide a systematic modeling approach to help researchers and scientists gain a deeper understanding of the large and heterogeneous networks formed by authors,papers,conferences,journals and organizations.The system is subsequently able to extract researchers’profiles automatically from the Web and integrates them with published papers by a way of a process that first performs name disambiguation.Then a generative probabilistic model is devised to simultaneously model the different entities while providing a topic-level expertise search.In addition,AMiner offers a set of researcher-centered functions,including social influence analysis,relationship mining,collaboration recommendation,similarity analysis and community evolution.The system has been in operation since 2006 and has been accessed from more than 8 million independent IP addresses residing in more than 200 countries and regions. 展开更多
关键词 academic social networks Profile extraction Name disambiguation Topic modeling Expertise Search Network mining
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