Humanities and Social Sciences(HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics(including RS: Remote Sensing;GIS: Geographical Information System;GNSS: ...Humanities and Social Sciences(HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics(including RS: Remote Sensing;GIS: Geographical Information System;GNSS: Global Navigation Satellite System), provides effective computational and spatialization methods and tools for HSS. Spatial Humanities and Geo-computation for Social Sciences(SH&GSS) is a field coupling geo-computation, and geoinformatics, with HSS. This special issue accepted a set of contributions highlighting recent advances in methodologies and applications of SH&GSS, which are related to sentiment spatial analysis from social media data, emotional change spatial analysis from news data, spatial analysis of social media related to COVID-19, crime spatiotemporal analysis, “double evaluation” for Land Use/Land Cover(LUCC), Specially Protected Natural Areas(SPNA) analysis, editing behavior analysis of Volunteered Geographic Information(VGI), electricity consumption anomaly detection, First and Last Mile Problem(FLMP) of public transport, and spatial interaction network analysis for crude oil trade network. Based on these related researches, we aim to present an overview of SH&GSS, and propose some future research directions for SH&HSS.展开更多
Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship....Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.展开更多
The move identification of the present study followed the four-move model of V.K.Bhatia who is the representative personage of ESP.It is composed of four moves(1993):Introducing purpose,Describing methodology,Summariz...The move identification of the present study followed the four-move model of V.K.Bhatia who is the representative personage of ESP.It is composed of four moves(1993):Introducing purpose,Describing methodology,Summarizing results and Presenting conclusions.According to the above theory,Principles of the scientific method of sampling suggested by Nwogu(1997:121)as to the selection of journal were adopted in the study—representativity,reputation,accessibility.The focus is the analysis of move structures of abstract sections of them and contrastive studies between Economics and Humanities&Social Sciences of Lanzhou Jiaotong University in different moves of abstract sections.We find there are some similarities and differences between them.In general,the abstracts of Humanities&Social Sciences are more standard than Economics,which suggested English abstract sections of some Economics bachelor’s degree thesis need to be improved.展开更多
With its rising number of publications and expanding international collaborations,China's humanities and social sciences(HSS)research is displaying its potential for global prominence.Researchers have been explori...With its rising number of publications and expanding international collaborations,China's humanities and social sciences(HSS)research is displaying its potential for global prominence.Researchers have been exploring the development of China's HSS from different perspectives.However,the examinations from the perspective of sentiment analysis are scanty.Our aim is then to examine the sentiment features in Chinese HSS academic writing,by analyzing a large-scale corpus with over 275 million characters and with a time span from 2000 to 2020.Considering that most studies only focused on abstracts,we examined both the abstracts and the full texts,as well as a direct comparison between them.We found that Chinese HSS academic writing has evolved to be more positively biased in the past two decades,showing an upward trend in the use of positive words and a slight downward trend in the use of negative words.However,the upward trend of positive words in the full texts is not that clear,resembling a fluctuating pattern.Regarding the comparison,the abstracts are more likely to use positive words while the full texts tend to use more negative words.These phenomena can be explained with the social cognitive theory,in that they may be shaped by a joint force of the nature of human beings,the nature of language,the particular socio-cultural background in China and the features of the academic genre.展开更多
基金National Natural Science Foundation of China(No.42171448)。
文摘Humanities and Social Sciences(HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics(including RS: Remote Sensing;GIS: Geographical Information System;GNSS: Global Navigation Satellite System), provides effective computational and spatialization methods and tools for HSS. Spatial Humanities and Geo-computation for Social Sciences(SH&GSS) is a field coupling geo-computation, and geoinformatics, with HSS. This special issue accepted a set of contributions highlighting recent advances in methodologies and applications of SH&GSS, which are related to sentiment spatial analysis from social media data, emotional change spatial analysis from news data, spatial analysis of social media related to COVID-19, crime spatiotemporal analysis, “double evaluation” for Land Use/Land Cover(LUCC), Specially Protected Natural Areas(SPNA) analysis, editing behavior analysis of Volunteered Geographic Information(VGI), electricity consumption anomaly detection, First and Last Mile Problem(FLMP) of public transport, and spatial interaction network analysis for crude oil trade network. Based on these related researches, we aim to present an overview of SH&GSS, and propose some future research directions for SH&HSS.
文摘Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers’ specialization and dissemination strategies.Research limitations: The dataset used is limited to one country for the years 2000–2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.
文摘The move identification of the present study followed the four-move model of V.K.Bhatia who is the representative personage of ESP.It is composed of four moves(1993):Introducing purpose,Describing methodology,Summarizing results and Presenting conclusions.According to the above theory,Principles of the scientific method of sampling suggested by Nwogu(1997:121)as to the selection of journal were adopted in the study—representativity,reputation,accessibility.The focus is the analysis of move structures of abstract sections of them and contrastive studies between Economics and Humanities&Social Sciences of Lanzhou Jiaotong University in different moves of abstract sections.We find there are some similarities and differences between them.In general,the abstracts of Humanities&Social Sciences are more standard than Economics,which suggested English abstract sections of some Economics bachelor’s degree thesis need to be improved.
基金supported by the Social Science Foundation of Chongqing[Grant Number 2019QNYY51]the Science Foundation of Chongqing[Grant Number cstc2020jcyj-msxmX0554]+2 种基金the Fund of the Interdisciplinary Supervisor Team for Graduates Programs of Chongqing Municipal Education Commission[Grant Number YDSTD1923]the Fundamental Research Funds for the Central Universities[Grant Number 2021CDJSKZX07]the Graduate Research Innovation Program of Chongqing[Grant Number CYS22081].
文摘With its rising number of publications and expanding international collaborations,China's humanities and social sciences(HSS)research is displaying its potential for global prominence.Researchers have been exploring the development of China's HSS from different perspectives.However,the examinations from the perspective of sentiment analysis are scanty.Our aim is then to examine the sentiment features in Chinese HSS academic writing,by analyzing a large-scale corpus with over 275 million characters and with a time span from 2000 to 2020.Considering that most studies only focused on abstracts,we examined both the abstracts and the full texts,as well as a direct comparison between them.We found that Chinese HSS academic writing has evolved to be more positively biased in the past two decades,showing an upward trend in the use of positive words and a slight downward trend in the use of negative words.However,the upward trend of positive words in the full texts is not that clear,resembling a fluctuating pattern.Regarding the comparison,the abstracts are more likely to use positive words while the full texts tend to use more negative words.These phenomena can be explained with the social cognitive theory,in that they may be shaped by a joint force of the nature of human beings,the nature of language,the particular socio-cultural background in China and the features of the academic genre.
