Pub Date : 2019-04-03DOI: 10.1080/08898480.2019.1597577
Enrica Amaturo, Biagio Aragona
The diffusion of digital technologies and social networks has multiplied the forms of digital data that can be employed for social research. The main two forms are native digital data, which are produced in social networks, search engines, or blogging, and digitized data, which are analog data transformed into digital (Rogers, 2013). Big data are originally produced in the Internet. They allow for analyzing behaviors without interfering with individuals (Webb et al., 1966). An example is the data used in web platforms analytics, such as Google Correlate, whose purpose is to reveal the co-occurrences associated with a keyword searched through the Google search engine. This tool helped to predict the flu epidemic in the US, well before the US Centre for Disease Control and Prevention (Ginsberg et al., 2009). This example demonstrates that digital web platforms enable innovations in data analysis. Another example of native digital data is the data voluntarily uploaded on social networks, blogs, and websites. These are mainly textual or visual (images and videos), often unstructured. A third example is transactional data and the Internet of things. Transactions made through digital devices, such as smart-phones, scanners, tablets, and cards with chips (credit cards, shopping cards) produce data with some structure. These data comprise metadata (date, time, duration, or expenditures) associated with transactions. The objects connected to the Internet (the Internet of things), such as sensors for health monitoring, house automation, and driving aid, usually produce structured data, which can be organized and analyzed. Digitized data previously existed in analog form, for example images, videos, and scanned or digitally photographed documents uploaded on the web, such as museum collections or libraries available on-line. Digital humanities have converted this material into digital form. Another example is the surveys assisted by computers, where the data are inserted into digital databases. Web surveys now are conducted through the Internet (by e-mail) (Amaturo and Aragona, 2016), and allow for reaching a large sample with a small budget.
数字技术和社交网络的传播使可用于社会研究的数字数据形式成倍增加。主要的两种形式是在社交网络、搜索引擎或博客中产生的原生数字数据，以及数字化数据，即转换为数字的模拟数据（Rogers，2013）。大数据最初是在互联网上产生的。它们允许在不干扰个人的情况下分析行为（Webb等人，1966）。一个例子是网络平台分析中使用的数据，如Google Correlate，其目的是揭示与通过Google搜索引擎搜索的关键词相关联的共同出现。早在美国疾病控制和预防中心（Ginsberg et al.，2009）之前，这一工具就有助于预测美国的流感疫情。这个例子表明，数字网络平台能够实现数据分析的创新。本地数字数据的另一个例子是自愿上传到社交网络、博客和网站上的数据。这些主要是文本或视觉（图像和视频），通常是非结构化的。第三个例子是事务数据和物联网。通过数字设备进行的交易，如智能手机、扫描仪、平板电脑和带芯片的卡（信用卡、购物卡），产生具有某种结构的数据。这些数据包括与交易相关联的元数据（日期、时间、持续时间或支出）。连接到互联网（物联网）的对象，如用于健康监测、房屋自动化和驾驶辅助的传感器，通常会产生结构化数据，这些数据可以进行组织和分析。数字化数据以前以模拟形式存在，例如图像、视频，以及上传到网络上的扫描或数字拍摄文件，例如博物馆藏品或在线图书馆。数字人文学科已经将这些材料转化为数字形式。另一个例子是由计算机辅助的调查，将数据插入数字数据库。现在，网络调查是通过互联网（通过电子邮件）进行的（Amaturo和Aragona，2016），可以用小预算接触到大样本。
{"title":"Methods for big data in social sciences","authors":"Enrica Amaturo, Biagio Aragona","doi":"10.1080/08898480.2019.1597577","DOIUrl":"https://doi.org/10.1080/08898480.2019.1597577","url":null,"abstract":"The diffusion of digital technologies and social networks has multiplied the forms of digital data that can be employed for social research. The main two forms are native digital data, which are produced in social networks, search engines, or blogging, and digitized data, which are analog data transformed into digital (Rogers, 2013). Big data are originally produced in the Internet. They allow for analyzing behaviors without interfering with individuals (Webb et al., 1966). An example is the data used in web platforms analytics, such as Google Correlate, whose purpose is to reveal the co-occurrences associated with a keyword searched through the Google search engine. This tool helped to predict the flu epidemic in the US, well before the US Centre for Disease Control and Prevention (Ginsberg et al., 2009). This example demonstrates that digital web platforms enable innovations in data analysis. Another example of native digital data is the data voluntarily uploaded on social networks, blogs, and websites. These are mainly textual or visual (images and videos), often unstructured. A third example is transactional data and the Internet of things. Transactions made through digital devices, such as smart-phones, scanners, tablets, and cards with chips (credit cards, shopping cards) produce data with some structure. These data comprise metadata (date, time, duration, or expenditures) associated with transactions. The objects connected to the Internet (the Internet of things), such as sensors for health monitoring, house automation, and driving aid, usually produce structured data, which can be organized and analyzed. Digitized data previously existed in analog form, for example images, videos, and scanned or digitally photographed documents uploaded on the web, such as museum collections or libraries available on-line. Digital humanities have converted this material into digital form. Another example is the surveys assisted by computers, where the data are inserted into digital databases. Web surveys now are conducted through the Internet (by e-mail) (Amaturo and Aragona, 2016), and allow for reaching a large sample with a small budget.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"65 - 68"},"PeriodicalIF":1.8,"publicationDate":"2019-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2019.1597577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41950429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-11DOI: 10.1080/08898480.2019.1565271
A. Righi
ABSTRACT Social media can be used not only for evaluating migration flows almost in real time and the degree of integration in the destination countries but also for the understanding of public opinion sentiment about immigration. Experiences based on scraping social media are reviewed, and the use of geo-located data and advertising platforms turns out to be the most promising opportunities supplied by these sources. The current challenge is to measure the sentiment of Italian-speaking twitterers toward migration.
{"title":"Assessing migration through social media: a review","authors":"A. Righi","doi":"10.1080/08898480.2019.1565271","DOIUrl":"https://doi.org/10.1080/08898480.2019.1565271","url":null,"abstract":"ABSTRACT Social media can be used not only for evaluating migration flows almost in real time and the degree of integration in the destination countries but also for the understanding of public opinion sentiment about immigration. Experiences based on scraping social media are reviewed, and the use of geo-located data and advertising platforms turns out to be the most promising opportunities supplied by these sources. The current challenge is to measure the sentiment of Italian-speaking twitterers toward migration.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"80 - 91"},"PeriodicalIF":1.8,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2019.1565271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48900251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-11DOI: 10.1080/08898480.2019.1565273
Iram Saleem, A. Sanaullah, M. Hanif
ABSTRACT A flexible scrambled response model using a randomization device for quantitative sensitive data is used to evaluate the protection of respondents’ privacy. A double-sampling regression-cum-exponential estimator is used to estimate the mean of a sensitive variable using the mean of a nonsensitive auxiliary variable under scrambled response. The expected bias, the expected mean square error, and the minimum mean square error of this exponential-type estimator are expressed. Simulations and empirical results show that the proposed estimator under scrambled response model has a lower mean square error and a lower bias than the ratio and the exponential estimators.
{"title":"Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable","authors":"Iram Saleem, A. Sanaullah, M. Hanif","doi":"10.1080/08898480.2019.1565273","DOIUrl":"https://doi.org/10.1080/08898480.2019.1565273","url":null,"abstract":"ABSTRACT A flexible scrambled response model using a randomization device for quantitative sensitive data is used to evaluate the protection of respondents’ privacy. A double-sampling regression-cum-exponential estimator is used to estimate the mean of a sensitive variable using the mean of a nonsensitive auxiliary variable under scrambled response. The expected bias, the expected mean square error, and the minimum mean square error of this exponential-type estimator are expressed. Simulations and empirical results show that the proposed estimator under scrambled response model has a lower mean square error and a lower bias than the ratio and the exponential estimators.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"163 - 182"},"PeriodicalIF":1.8,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2019.1565273","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41424045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-22DOI: 10.1080/08898480.2018.1553393
P. Bernhard, Marc Deschamps
ABSTRACT Rudolph E. Kalman is mainly known for the Kalman filter, first published in 1960. In this year, he published two equally important contributions, one about linear state space system theory and the other about linear quadratic optimal control theory. These three domains are intertwined in the later theory of linear quadratic Gaussian control. An extended version of linear quadratic optimal control is put into practice in an example of cooperation in population ecology.
{"title":"Kalman 1960: The birth of modern system theory","authors":"P. Bernhard, Marc Deschamps","doi":"10.1080/08898480.2018.1553393","DOIUrl":"https://doi.org/10.1080/08898480.2018.1553393","url":null,"abstract":"ABSTRACT Rudolph E. Kalman is mainly known for the Kalman filter, first published in 1960. In this year, he published two equally important contributions, one about linear state space system theory and the other about linear quadratic optimal control theory. These three domains are intertwined in the later theory of linear quadratic Gaussian control. An extended version of linear quadratic optimal control is put into practice in an example of cooperation in population ecology.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"123 - 145"},"PeriodicalIF":1.8,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2018.1553393","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48438872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-22DOI: 10.1080/08898480.2018.1553395
N. Hritonenko, Y. Yatsenko, A. Boranbayev
ABSTRACT Solutions from non-smooth functional spaces, including generalized functions and measures, often appear in optimal control theory but are avoided in applications. They are however useful in finding the optimal distribution of investments into new and old capital equipment under improving technology. The corresponding economic problem involves optimal control in a linear Lotka-McKendrik model of age-structured population. Optimal solutions do not exist in normal functional classes and, so, generalized functions are used to construct the solutions. The optimal age-distributions of capital and investment include the Dirac function and are interpreted as instantaneous investment in equipment of certain age. A numerical simulation completes the presentation of the dynamics.
{"title":"Generalized functions in the qualitative study of heterogeneous populations","authors":"N. Hritonenko, Y. Yatsenko, A. Boranbayev","doi":"10.1080/08898480.2018.1553395","DOIUrl":"https://doi.org/10.1080/08898480.2018.1553395","url":null,"abstract":"ABSTRACT Solutions from non-smooth functional spaces, including generalized functions and measures, often appear in optimal control theory but are avoided in applications. They are however useful in finding the optimal distribution of investments into new and old capital equipment under improving technology. The corresponding economic problem involves optimal control in a linear Lotka-McKendrik model of age-structured population. Optimal solutions do not exist in normal functional classes and, so, generalized functions are used to construct the solutions. The optimal age-distributions of capital and investment include the Dirac function and are interpreted as instantaneous investment in equipment of certain age. A numerical simulation completes the presentation of the dynamics.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"146 - 162"},"PeriodicalIF":1.8,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2018.1553395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44771764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-11DOI: 10.1080/08898480.2018.1553411
M. M. Dickson, A. Grafström, D. Giuliani, G. Espa
ABSTRACT When conducting firm-level surveys, a relevant aspect in sampling design is to guarantee that the selected sample of business units is representative of the population. Stratified sampling design is used to obtain a representative sample. However, stratification of the main characteristics of establishments may not always be computationally feasible, due to the high number of small and empty strata occurring when the population is highly stratified. A simulation with common sampling designs allows the comparison of the local pivotal method and spatially correlated Poisson sampling in terms of spatial balance and efficiency in estimation. These spatial designs are efficient, whereas stratification is no longer feasible.
{"title":"Efficiency and feasibility of sampling schemes in establishment surveys","authors":"M. M. Dickson, A. Grafström, D. Giuliani, G. Espa","doi":"10.1080/08898480.2018.1553411","DOIUrl":"https://doi.org/10.1080/08898480.2018.1553411","url":null,"abstract":"ABSTRACT When conducting firm-level surveys, a relevant aspect in sampling design is to guarantee that the selected sample of business units is representative of the population. Stratified sampling design is used to obtain a representative sample. However, stratification of the main characteristics of establishments may not always be computationally feasible, due to the high number of small and empty strata occurring when the population is highly stratified. A simulation with common sampling designs allows the comparison of the local pivotal method and spatially correlated Poisson sampling in terms of spatial balance and efficiency in estimation. These spatial designs are efficient, whereas stratification is no longer feasible.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"114 - 122"},"PeriodicalIF":1.8,"publicationDate":"2019-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2018.1553411","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43381504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-02-03DOI: 10.1080/08898480.2020.1767424
E. Bulinskaya
ABSTRACT In a catalytic branching random walk on a multidimensional lattice, with arbitrary finite total number of catalysts, in supercritical regime, when the vector coordinates of the random walk jump are assumed independent (or close to independent) to one another and have semi-exponential distributions, a limit theorem provides the almost sure normalized locations of the particles at the boundary between populated and empty areas. Contrary to the case of random walk increments with light distribution tails, the normalizing factor grows faster than linearly over time. The limit shape of the front in the case of semi-exponential tails is no longer convex, as it is in the case of light tails.
{"title":"Catalytic branching random walk with semi-exponential increments","authors":"E. Bulinskaya","doi":"10.1080/08898480.2020.1767424","DOIUrl":"https://doi.org/10.1080/08898480.2020.1767424","url":null,"abstract":"ABSTRACT In a catalytic branching random walk on a multidimensional lattice, with arbitrary finite total number of catalysts, in supercritical regime, when the vector coordinates of the random walk jump are assumed independent (or close to independent) to one another and have semi-exponential distributions, a limit theorem provides the almost sure normalized locations of the particles at the boundary between populated and empty areas. Contrary to the case of random walk increments with light distribution tails, the normalizing factor grows faster than linearly over time. The limit shape of the front in the case of semi-exponential tails is no longer convex, as it is in the case of light tails.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"28 1","pages":"123 - 153"},"PeriodicalIF":1.8,"publicationDate":"2019-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2020.1767424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44659242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-15DOI: 10.1080/08898480.2018.1553399
Jennifer B. Kane, Ehsan Farshchi
ABSTRACT A spatial multiple membership model formalizes the effect of neighborhood affluence on antenatal smoking. The data are geocoded New Jersey birth certificate records linked to United States census tract-level data from 1999 to 2007. Neighborhood affluence shows significant spatial autocorrelation and local clustering. Better model fit is observed when incorporating the spatial clustering of neighborhood affluence into multivariate analyses. Relative to the spatial multiple membership model, the multilevel model that ignores spatial clustering produced downwardly biased standard errors; the effective sample size of the key parameter of interest (neighborhood affluence) is also lower. Residents of communities located in high-high affluence clusters likely have better access to health-promoting institutions that regulate antenatal smoking behaviors.
{"title":"Neighborhood affluence protects against antenatal smoking: Evidence from a spatial multiple membership model","authors":"Jennifer B. Kane, Ehsan Farshchi","doi":"10.1080/08898480.2018.1553399","DOIUrl":"https://doi.org/10.1080/08898480.2018.1553399","url":null,"abstract":"ABSTRACT A spatial multiple membership model formalizes the effect of neighborhood affluence on antenatal smoking. The data are geocoded New Jersey birth certificate records linked to United States census tract-level data from 1999 to 2007. Neighborhood affluence shows significant spatial autocorrelation and local clustering. Better model fit is observed when incorporating the spatial clustering of neighborhood affluence into multivariate analyses. Relative to the spatial multiple membership model, the multilevel model that ignores spatial clustering produced downwardly biased standard errors; the effective sample size of the key parameter of interest (neighborhood affluence) is also lower. Residents of communities located in high-high affluence clusters likely have better access to health-promoting institutions that regulate antenatal smoking behaviors.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"186 - 207"},"PeriodicalIF":1.8,"publicationDate":"2019-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2018.1553399","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43198798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/08898480.2018.1553404
G. Singh, S. Suman, C. Singh
ABSTRACT Unbiased estimation procedures of the mean total number of persons with a rare sensitive attribute apply for a clustered population under two-stage and stratified two-stage sampling schemes. Randomized response model is used to obtain the estimators, when the parameter of an unrelated rare non-sensitive attribute is either known or unknown. The variances of the resultant estimators are derived and their unbiased estimates are expressed. Numerical comparisons show that dispersions in the estimates are lower than other contemporary estimators.
{"title":"Estimation of a rare sensitive attribute in two-stage sampling using a randomized response model under Poisson distribution","authors":"G. Singh, S. Suman, C. Singh","doi":"10.1080/08898480.2018.1553404","DOIUrl":"https://doi.org/10.1080/08898480.2018.1553404","url":null,"abstract":"ABSTRACT Unbiased estimation procedures of the mean total number of persons with a rare sensitive attribute apply for a clustered population under two-stage and stratified two-stage sampling schemes. Randomized response model is used to obtain the estimators, when the parameter of an unrelated rare non-sensitive attribute is either known or unknown. The variances of the resultant estimators are derived and their unbiased estimates are expressed. Numerical comparisons show that dispersions in the estimates are lower than other contemporary estimators.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"27 1","pages":"81 - 114"},"PeriodicalIF":1.8,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2018.1553404","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49341928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01Epub Date: 2019-05-23DOI: 10.1080/08898480.2019.1592637
Jonathan Daw, Ashton Verdery, Sarah E Patterson
How far do Americans live from their close and extended kin? The answer is likely to structure the types of social, instrumental, and financial support that they are able to provide to one another. Based on the Panel Study of Income Dynamics, kin pairs vary widely in odds of household co-residence, co-residence in the same administrative units, and inter-tract distances if they do not live in the same census tract. Multivariate regression tests show that family structure, educational attainment, and age are closely associated with kin proximity. Fixed effects models demonstrate that fam ily formation shapes spatial relations between kin.
{"title":"Beyond Household Walls: The Spatial Structure of American Extended Kinship Networks.","authors":"Jonathan Daw, Ashton Verdery, Sarah E Patterson","doi":"10.1080/08898480.2019.1592637","DOIUrl":"https://doi.org/10.1080/08898480.2019.1592637","url":null,"abstract":"<p><p>How far do Americans live from their close and extended kin? The answer is likely to structure the types of social, instrumental, and financial support that they are able to provide to one another. Based on the Panel Study of Income Dynamics, kin pairs vary widely in odds of household co-residence, co-residence in the same administrative units, and inter-tract distances if they do not live in the same census tract. Multivariate regression tests show that family structure, educational attainment, and age are closely associated with kin proximity. Fixed effects models demonstrate that fam ily formation shapes spatial relations between kin.</p>","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 4","pages":"208-237"},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2019.1592637","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25486434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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