Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis-Reference-Cited by-同舟云学术

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Published:2019-07 Issue:4 Volume:56 Page:1185-1203
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Hu Kai^ORCID,Luo Qing,Qi Kunlun,Yang Siluo^ORCID,Mao Jin,Fu Xiaokang,Zheng Jie,Wu Huayi,Guo Ya,Zhu Qibing

Funder

Wuhan University

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities of China

Jiangsu Province

New Agricultural Engineering of Jiangsu Province

Jiangnan University

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

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