Sociology: methodology, methods, mathematical modeling (Sociology: 4M)最新文献

Experience of implementing discourse analysis and conceptual mapping of healthy eating communities 实施话语分析和绘制健康饮食社区概念图的经验

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2024-07-21 DOI: 10.19181/4m.2023.32.1.4

Sergey Tkach, Polina Vorobyova, Maya Rusakova

引用次数: 0

Qualitative social network analysis in practice: comparison of methods for network maps construction 社会网络定性分析实践：网络地图构建方法比较

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2024-07-21 DOI: 10.19181/4m.2023.32.1.3

Aryuna Kim

引用次数: 0

Comparative analysis of the capabilities of WoS and eLibrary for analyzing bibliographic networks 对 WoS 和电子图书馆分析书目网络能力的比较分析

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2024-07-21 DOI: 10.19181/4m.2023.32.1.1

Daria Maltseva, Irina Pavlova, Lika Kapustina, Vasilisa Vashchenko, Dalibor Fiala

{"title":"Comparative analysis of the capabilities of WoS and eLibrary for analyzing bibliographic networks","authors":"Daria Maltseva, Irina Pavlova, Lika Kapustina, Vasilisa Vashchenko, Dalibor Fiala","doi":"10.19181/4m.2023.32.1.1","DOIUrl":"https://doi.org/10.19181/4m.2023.32.1.1","url":null,"abstract":"This article presents a comparative analysis of two major scientific publication databases: Web of Science Core Collection and eLibrary – to identify their differences and unique opportunities for exploration of bibliographic networks of Russian scientific authors. Current shortage of tools and approaches for collection, processing and analysis of bibliographic data in the Russian language constitutes the relevance of this study. Empirical analysis is based on comparison of respective arrays of scientific publications in the field of sociology over the period of 2010-2021. We propose a set of comparison criteria including those related to the procedure of data access, quality of data management, quantitative and qualitative features of the data. Inspection of the databases based on the proposed criteria aids in identification of intersections between both the collections and the respective qualitative observations about them. We make conclusions regarding the comparative advantages and weaknesses of both databases in regards to their potential as the sole data source for bibliographic studies, and make recommendations for their effective use in research on Russian science.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"80 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Typology of professional trajectories of gifted individuals using neural network analysis 利用神经网络分析法对资优学生的职业轨迹进行分类

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2024-07-21 DOI: 10.19181/4m.2023.32.1.5

O. Chepyuk, O. Angelova, A. Sochkov, Tatyana Podolskaya

{"title":"Typology of professional trajectories of gifted individuals using neural network analysis","authors":"O. Chepyuk, O. Angelova, A. Sochkov, Tatyana Podolskaya","doi":"10.19181/4m.2023.32.1.5","DOIUrl":"https://doi.org/10.19181/4m.2023.32.1.5","url":null,"abstract":"Based on a data set (100 biographies) created by the authors through content analysis of biographical material about outstanding scientists of the 19th and 20th centuries in the humanities and natural sciences, the clustering of professional trajectories of gifted individuals was carried out. Neural network analysis based on self-organizing Kohonen maps was used as a clustering method. The professional trajectories were formed within the framework of the behavioral model of the linear-stage approach to studying life cycles. Within this approach, career and professional self-realization are understood as a sequence of evolutionary stages fixed in their order of occurrence. Each stage was encoded, and the biographies were transformed into a vector system. In turn, the task of clustering consisted in dividing a hundred vectors into typical groups with several real-valued coordinates. The criteria for the quality of clustering were the minimum sum of quantization errors and the silhouette coefficient. As a result of the study, seven professional trajectories of gifted individuals were identified and interpreted. The analysis of trajectories was carried out from the point of view of the speed of success (average age of success) and those factors and conditions of the life path that could affect either rapid or slow achievement of professional goals and self-realization. This example demonstrates the possibilities and limitations of using neural network analysis for solving similar research tasks, especially when working with complex cluster forms and finding their optimal number.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"23 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Topic modeling for short texts: comparative analysis of algorithms 短文主题建模：算法比较分析

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2024-07-21 DOI: 10.19181/4m.2023.32.1.2

Vasilisa Vashchenko

引用次数: 0

Integration of survey data and digital footprints: an overview of the main methodological approaches 调查数据和数字足迹的整合:主要方法方法的概述

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2022-12-18 DOI: 10.19181/4m.2021.53.4

Anastasia Saponova, S. Kulikov

{"title":"Integration of survey data and digital footprints: an overview of the main methodological approaches","authors":"Anastasia Saponova, S. Kulikov","doi":"10.19181/4m.2021.53.4","DOIUrl":"https://doi.org/10.19181/4m.2021.53.4","url":null,"abstract":"The main purpose of current study is to review the main existing methodological approaches to the integration of survey data and digital traces that are used in sociological research. The paper examines key arguments in the current methodological discussion about the place of big digital data in contemporary social science research. The authors make an attempt to scrutinize the practice of integrating survey data and digital traces through the concept of “reactive – nonreactive” measurement. The possible functions of digital traces in the design of the study are indicated (on the example of social media data). On the example of three research areas (the study of media consumption, media effects and electoral behavior) general methodological principles for integrating data of different nature are demonstrated and possible prospects for the development of these approaches is described. The article discusses a wide range of methodological issues: problems of the data linking validity; potential threats to the validity of digital traces; opportunities to improve survey questionnaire, to enrich data, to search for new valid indicators of socio-political processes and to provide cross-validation of research results. The current practices of integrating administrative data are considered as well.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115168490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Qualitative network analysis in the strategy of mixing methods in the social sciences: a systematic literature review 社会科学混合方法策略中的定性网络分析:系统文献综述

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2022-12-18 DOI: 10.19181/4m.2021.53.3

Aryuna Kim

{"title":"Qualitative network analysis in the strategy of mixing methods in the social sciences: a systematic literature review","authors":"Aryuna Kim","doi":"10.19181/4m.2021.53.3","DOIUrl":"https://doi.org/10.19181/4m.2021.53.3","url":null,"abstract":"This article discusses the place of qualitative network analysis in the strategy of mixing methods in the social sciences. We conducted a systematic review of the literature that allowed us to demonstrate examples of the use of qualitative network analysis in empirical research. There are four ways of analyzing qualitative data in network mixed studies: qualitative analysis of qualitative data, quantitative analysis of qualitative data, quantitative and qualitative analysis of qualitative data and quantitative and qualitative analysis of qualitative and quantitative data. Currently, there is a lack of a single definition of the methodology of qualitative network analysis and consensus on its implementation in practice. The main possibilities of qualitative network analysis are discussed in the article. At the level of the research object, qualitative network analysis studies the personal networks of individuals’ relationships, and also make easier an access to hard-to-reach groups of respondents. At the level of the subject of research, qualitative network analysis allows us to study the deep meanings of relationships in the network and the contexts of interaction, to describe and understand networks from the inside and outside, to focus on the activities of actors and their strategies for building a network, as well as to identify the temporality of relationships in the network. The article discusses a position that questions the existence of qualitative network analysis as an independent methodology.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129815995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Peculiarities of ARDL modeling in sociological time series analysis (the case of economic news in the dynamics of CSI in 2010–2017) 社会学时间序列分析中ARDL模型的特殊性(以2010-2017年CSI动态中的经济新闻为例)

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2022-12-18 DOI: 10.19181/4m.2021.53.2

Stanislav Pashkov

{"title":"Peculiarities of ARDL modeling in sociological time series analysis (the case of economic news in the dynamics of CSI in 2010–2017)","authors":"Stanislav Pashkov","doi":"10.19181/4m.2021.53.2","DOIUrl":"https://doi.org/10.19181/4m.2021.53.2","url":null,"abstract":"The Consumer Sentiments Index (CSI) reflects views of the population of Russia on the economic and financial policy of the country and contributes to the understanding of recessive changes in the economy. Current methodological approach singles out inflation, exchange rate, unemployment, intensity of economic events coverage in mass media as the primary factors that guide consumers in their assessments when “rational” signals arise. The article pays attention to the peculiar features of using the ARDL approach in sociological research based on the example of assessing non-economic factors on CSI in 2010-2017, including “socially significant” factors such as mass media. In autoregressive models with distributed lag (ARDL) it is possible to use the “non-economic” indicators that are difficult to include in classical vector autoregressive models (VAR). The article shows that ARDL modeling improves the interpretation of models in the presence of mixed series, and a two-month lag in the news intensity can demonstrate a decrease in consumer sentiments. The approach used in the current study allowed to identify episodes of desynchronization of the dynamics of macro indicators since the 2010s, which, on the one hand, indicates actual changes in the corresponding indicators, and on the other hand, brings more certainty to people’s understanding of the current situation in the economy and opportunities for making large purchases. Additionally, the article examines the methodological and analytical benefits of the CSI data and describe the specifics of including various “sociological” parameters and indicators into the analysis.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128120105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toloka platform as a source of online survey participants: an experience of assessing data quality Toloka平台作为在线调查参与者的来源:评估数据质量的经验

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2022-12-18 DOI: 10.19181/4m.2021.53.5

K. Gavrilov

{"title":"Toloka platform as a source of online survey participants: an experience of assessing data quality","authors":"K. Gavrilov","doi":"10.19181/4m.2021.53.5","DOIUrl":"https://doi.org/10.19181/4m.2021.53.5","url":null,"abstract":"The article presents the experience of using Yandex Toloka crowdsourcing platform to recruit respondents for an online survey. Analyzing methodological publications on a similar foreign platform Amazon Mechanical Turk we put forward hypotheses about the data quality obtained via Toloka in comparison with the results collected using other convenience sample types –online panels and recruitment of respondents through social networks. Additionally, only based on the Toloka data, we assessed the indicator of respondent’s attentiveness. The main conclusion is that Toloka allows to recruit respondents quickly and at low cost, and the results are comparable in terms of quality to those obtained by other methods. In particular, respondents from Toloka almost always complete the survey, fill out questionnaires faster than other types of respondents, but less often than participants of the online panel have a tendency to “straightline” (i.e., give the same answers in a tabular question), just as often as social media respondents give answers to the open-ended question (but less frequently than online panel participants), although their responses are shorter. Only 36% of the respondents passed the attention check question, attentive participants had a longer questionnaire complete time and were less likely to be straightliners. The increase of reward did not increase the proportion of attentive respondents, but decreased the questionnaire filling out speed, increased the number of answers to the open question, and reduced the proportion of straightliners.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121511879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockmodeling for analysis of social structures: studying the structure of St. Petersburg community of sociologists 社会结构分析的积木模型:研究圣彼得堡社会学家社区的结构

Sociology: methodology, methods, mathematical modeling (Sociology: 4M) Pub Date : 2022-12-18 DOI: 10.19181/4m.2021.53.1

Aryuna Kim, D. Maltseva, T. Shcheglova

{"title":"Blockmodeling for analysis of social structures: studying the structure of St. Petersburg community of sociologists","authors":"Aryuna Kim, D. Maltseva, T. Shcheglova","doi":"10.19181/4m.2021.53.1","DOIUrl":"https://doi.org/10.19181/4m.2021.53.1","url":null,"abstract":"The article shows the possibilities of using the blockmodeling technique as a method of clustering network data in sociological research by conducting the secondary analysis of data related to structure of the community of St. Petersburg sociologists. The methodology of blockmodeling, data and results of the original research are briefly described. Using the blockmodeling algorithm of the CONCOR program, colleagues initially identified three clusters – “West End”, “East End” and “North End”, which differed in affiliation to organizations, publication strategies and orientation of scientists to the Western and domestic scientific community. The article describes the procedure of the blockmodeling algorithm used for secondary analysis, based on an indirect approach and hierarchical clustering. Using this method, we discovered a community structure similar to that found in the original study, but also, we had the possibility to take a deeper look at the selected groups, referring their structures to the “core-periphery” type in a complex form. The intersection of clusters obtained by different methods makes it possible to cross-validate the results of the analysis carried out by two independent research teams. The work can serve as a guide for researchers from other fields dealing with the problems of identifying related subgroups, since the described blockmodeling algorithm is universal and does not depend on the specifics of the subject.","PeriodicalId":271863,"journal":{"name":"Sociology: methodology, methods, mathematical modeling (Sociology: 4M)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134124563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0