Pub Date : 2020-10-26DOI: 10.1080/0022250X.2020.1821199
Ankita Dey, Diganta Mukherjee, Sugata Sen Roy
ABSTRACT Presence of social network among the respondents in a survey may have an influence on the patterns of response. Latent class analysis identifies hidden subgroups in the respondents in a survey and simplifies the structure of heterogeneity amongst them. In the present study, a new model of social network-informed multiple group latent class analysis is developed by introducing a parameter measuring the influence of a social network on a respondent. For suitable application of the proposed model, data from 75 Indian villages with detailed demographic characteristics and a diverse social and economic network are used. The present study examined the methodological aspect of the proposed model of multiple group latent class analysis adjusted for the impact of social network.
{"title":"Modelling the influence of social network with a multiple group latent class analysis","authors":"Ankita Dey, Diganta Mukherjee, Sugata Sen Roy","doi":"10.1080/0022250X.2020.1821199","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1821199","url":null,"abstract":"ABSTRACT Presence of social network among the respondents in a survey may have an influence on the patterns of response. Latent class analysis identifies hidden subgroups in the respondents in a survey and simplifies the structure of heterogeneity amongst them. In the present study, a new model of social network-informed multiple group latent class analysis is developed by introducing a parameter measuring the influence of a social network on a respondent. For suitable application of the proposed model, data from 75 Indian villages with detailed demographic characteristics and a diverse social and economic network are used. The present study examined the methodological aspect of the proposed model of multiple group latent class analysis adjusted for the impact of social network.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"46 1","pages":"99 - 119"},"PeriodicalIF":1.0,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1821199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48010434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.1080/0022250x.2019.1694519
B. Heydari, Pedram Heydari, M. Mosleh
ABSTRACT This paper studies structures for efficient and stable integration of multi-community networks where establishing bridges across communities incur additional link cost compared to those within communities. Building on the connections models with direct and indirect benefits, we show that the efficient structure for homogeneous cost and benefit parameters, and for communities of arbitrary size, always has a diameter no greater than 3. We further show that for non-trivial cases, integration always follows one of these three structures: single star, two hub-connected stars, and a new structure we introduce in this paper as parallel hyperstar, which is a special core/periphery structure with parallel bridges that connect the core nodes of different communities. Then we investigate stability conditions of these structures, using the standard pairwise stability, as well as post-transfer pairwise stability, a new stability notion we introduce in this paper, which allows for bilateral utility transfers. We show that while the parallel hyperstar structure can never be both efficient and pairwise stable, once post-transfer pairwise stability is used, efficiency guarantees stability. Furthermore, we show that all possible efficient structures can be simultaneously post-transfer pairwise stable. In the end, we provide some numerical results and discussion of empirical evidences.
{"title":"Not all bridges connect: integration in multi-community networks","authors":"B. Heydari, Pedram Heydari, M. Mosleh","doi":"10.1080/0022250x.2019.1694519","DOIUrl":"https://doi.org/10.1080/0022250x.2019.1694519","url":null,"abstract":"ABSTRACT This paper studies structures for efficient and stable integration of multi-community networks where establishing bridges across communities incur additional link cost compared to those within communities. Building on the connections models with direct and indirect benefits, we show that the efficient structure for homogeneous cost and benefit parameters, and for communities of arbitrary size, always has a diameter no greater than 3. We further show that for non-trivial cases, integration always follows one of these three structures: single star, two hub-connected stars, and a new structure we introduce in this paper as parallel hyperstar, which is a special core/periphery structure with parallel bridges that connect the core nodes of different communities. Then we investigate stability conditions of these structures, using the standard pairwise stability, as well as post-transfer pairwise stability, a new stability notion we introduce in this paper, which allows for bilateral utility transfers. We show that while the parallel hyperstar structure can never be both efficient and pairwise stable, once post-transfer pairwise stability is used, efficiency guarantees stability. Furthermore, we show that all possible efficient structures can be simultaneously post-transfer pairwise stable. In the end, we provide some numerical results and discussion of empirical evidences.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"44 1","pages":"199 - 220"},"PeriodicalIF":1.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250x.2019.1694519","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47823083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-17DOI: 10.1080/0022250X.2020.1811277
K. J. Albers, Morten Mørup, Mikkel N. Schmidt, Fumiko Kano Glückstad
ABSTRACT Data-driven segmentation is an important tool for analyzing patterns of associations in social survey data; however, it remains a challenge to compare the quality of segmentations obtained by different methods. We present a statistical framework for quantifying the quality of segmentations of human values, by evaluating their ability to predict held-out data. By comparing clusterings of human values survey data from the forth round of European Social Study (ESS-4), we show that demographic markers such as age or country predict better than random, yet are outperformed by data-driven segmentation methods. We show that a Bayesian version of Latent Class Analysis (LCA) outperforms the standard maximum likelihood LCA in predictive performance and is more robust for different number of clusters.
{"title":"Predictive evaluation of human value segmentations","authors":"K. J. Albers, Morten Mørup, Mikkel N. Schmidt, Fumiko Kano Glückstad","doi":"10.1080/0022250X.2020.1811277","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1811277","url":null,"abstract":"ABSTRACT Data-driven segmentation is an important tool for analyzing patterns of associations in social survey data; however, it remains a challenge to compare the quality of segmentations obtained by different methods. We present a statistical framework for quantifying the quality of segmentations of human values, by evaluating their ability to predict held-out data. By comparing clusterings of human values survey data from the forth round of European Social Study (ESS-4), we show that demographic markers such as age or country predict better than random, yet are outperformed by data-driven segmentation methods. We show that a Bayesian version of Latent Class Analysis (LCA) outperforms the standard maximum likelihood LCA in predictive performance and is more robust for different number of clusters.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"46 1","pages":"28 - 55"},"PeriodicalIF":1.0,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1811277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44363906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-16DOI: 10.1080/0022250X.2020.1818077
E. Accinelli, Filipe Martins, A. Pinto, Atefeh Afsar, B. Oliveira
ABSTRACT We introduce an evolutionary dynamical model for corruption in a democratic state describing the interactions between citizens, government and officials, where the voting power of the citizens is the main mechanism to control corruption. Three main scenarios for the evolution of corruption emerge depending on the efficiency of the institutions and the social, political, and economic characteristics of the State. Efficient institutions can create a corruption intolerant self-reinforcing mechanism. The lack of political choices, weaknesses of institutions and vote buying can create a self-reinforcing mechanism of corruption. The ambition of the rulers can induce high levels of corruption that can be fought by the voting power of the citizens creating corruption cycles.
{"title":"The power of voting and corruption cycles","authors":"E. Accinelli, Filipe Martins, A. Pinto, Atefeh Afsar, B. Oliveira","doi":"10.1080/0022250X.2020.1818077","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1818077","url":null,"abstract":"ABSTRACT We introduce an evolutionary dynamical model for corruption in a democratic state describing the interactions between citizens, government and officials, where the voting power of the citizens is the main mechanism to control corruption. Three main scenarios for the evolution of corruption emerge depending on the efficiency of the institutions and the social, political, and economic characteristics of the State. Efficient institutions can create a corruption intolerant self-reinforcing mechanism. The lack of political choices, weaknesses of institutions and vote buying can create a self-reinforcing mechanism of corruption. The ambition of the rulers can induce high levels of corruption that can be fought by the voting power of the citizens creating corruption cycles.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"46 1","pages":"56 - 79"},"PeriodicalIF":1.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1818077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45875302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-27DOI: 10.1080/0022250X.2020.1765776
Ying Ying Keng, K. Kwa, Chris McClain
ABSTRACT Despite a plethora of centrality measures were proposed, there is no consensus on what centrality is exactly due to the shortcomings each measure has. In this manuscript, we propose to combine centrality measures pertinent to a network by forming their convex combinations. We found that some combinations, induced by regular points, split the nodes into the largest number of classes by their rankings. Moreover, regular points are found with probability and their induced rankings are insensitive to small variation. By contrast, combinations induced by critical points are scarce, but their presence enables the variation in node rankings. We also discuss how optimum combinations could be chosen, while proving various properties of the convex combinations of centrality measures.
{"title":"Convex combinations of centrality measures","authors":"Ying Ying Keng, K. Kwa, Chris McClain","doi":"10.1080/0022250X.2020.1765776","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1765776","url":null,"abstract":"ABSTRACT Despite a plethora of centrality measures were proposed, there is no consensus on what centrality is exactly due to the shortcomings each measure has. In this manuscript, we propose to combine centrality measures pertinent to a network by forming their convex combinations. We found that some combinations, induced by regular points, split the nodes into the largest number of classes by their rankings. Moreover, regular points are found with probability and their induced rankings are insensitive to small variation. By contrast, combinations induced by critical points are scarce, but their presence enables the variation in node rankings. We also discuss how optimum combinations could be chosen, while proving various properties of the convex combinations of centrality measures.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"45 1","pages":"195 - 222"},"PeriodicalIF":1.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1765776","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42892581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-22DOI: 10.1080/0022250X.2020.1787406
Carol Ann Downes, Philip D. Waggoner
ABSTRACT While cosponsorship is a useful tool for cosponsors, what is its impact on the bill? Adapting the mathematical concept of directed transportation networks for the American Congressional context, we suggest cosponsorship’s impact on a bill comes in the form of an ideological signal. We offer a model of policymaking where ideological “weight” is added to bills each time legislators sign on as cosponsors. In addition to policy substance, the bill’s final position in ideological space may also be considered as a function of all collaborators (i.e., initial sponsor and cosponsors). We conclude by extending and applying our model to two bills from the 115th U.S. House. Results comport with our model’s expectations, suggesting we are capturing ideological signals from cosponsorship.
{"title":"Exploring ideological signals from cosponsorship","authors":"Carol Ann Downes, Philip D. Waggoner","doi":"10.1080/0022250X.2020.1787406","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1787406","url":null,"abstract":"ABSTRACT While cosponsorship is a useful tool for cosponsors, what is its impact on the bill? Adapting the mathematical concept of directed transportation networks for the American Congressional context, we suggest cosponsorship’s impact on a bill comes in the form of an ideological signal. We offer a model of policymaking where ideological “weight” is added to bills each time legislators sign on as cosponsors. In addition to policy substance, the bill’s final position in ideological space may also be considered as a function of all collaborators (i.e., initial sponsor and cosponsors). We conclude by extending and applying our model to two bills from the 115th U.S. House. Results comport with our model’s expectations, suggesting we are capturing ideological signals from cosponsorship.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"45 1","pages":"246 - 267"},"PeriodicalIF":1.0,"publicationDate":"2020-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1787406","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45160856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-02DOI: 10.1080/0022250X.2019.1666268
Christopher R. Dishop
ABSTRACT Temporal motivation theory (TMT) has been criticized for its static representation and neglect of the environment. In this paper, I develop goal sampling theory (GST) to appease these criticisms and extend our understanding of goal choices beyond momentary preferences and into dynamic updating and sampling behavior across time. GST draws from temporal motivational theory, sampling models of impression formation, and organizational theory on how the environment constrains behavior and situates aspects of each into a formal model of goal sampling. Doing so addresses the limitations of our prior thinking, introduces new concepts and predictions, and provides a mathematical framework that lends itself to computational modeling.
{"title":"A simple, dynamic extension of temporal motivation theory","authors":"Christopher R. Dishop","doi":"10.1080/0022250X.2019.1666268","DOIUrl":"https://doi.org/10.1080/0022250X.2019.1666268","url":null,"abstract":"ABSTRACT Temporal motivation theory (TMT) has been criticized for its static representation and neglect of the environment. In this paper, I develop goal sampling theory (GST) to appease these criticisms and extend our understanding of goal choices beyond momentary preferences and into dynamic updating and sampling behavior across time. GST draws from temporal motivational theory, sampling models of impression formation, and organizational theory on how the environment constrains behavior and situates aspects of each into a formal model of goal sampling. Doing so addresses the limitations of our prior thinking, introduces new concepts and predictions, and provides a mathematical framework that lends itself to computational modeling.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"44 1","pages":"147 - 162"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2019.1666268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48856729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-02DOI: 10.1080/0022250X.2019.1664509
Krzysztof Kułakowski, M. Stojkow, Dorota Żuchowska-Skiba
ABSTRACT In a fully connected network of K individuals, links represent symmetric interpersonal relations with their signs – positive for friendly, negative for hostile ones. The network is balanced in the sense of Heider if it is divided into two, internally friendly but mutually hostile groups. A dynamics of the relations has been proposed which leads to balanced states; there, a separate differential equation is designed for each out of K(K-1)/2 links. Here we demonstrate that besides the balanced states, whole families of stable-unbalanced states exist, and the number of these states is limited only by the size of the network. Examples are given for three and four internally friendly, but mutually hostile groups.
{"title":"Heider balance, prejudices and size effect","authors":"Krzysztof Kułakowski, M. Stojkow, Dorota Żuchowska-Skiba","doi":"10.1080/0022250X.2019.1664509","DOIUrl":"https://doi.org/10.1080/0022250X.2019.1664509","url":null,"abstract":"ABSTRACT In a fully connected network of K individuals, links represent symmetric interpersonal relations with their signs – positive for friendly, negative for hostile ones. The network is balanced in the sense of Heider if it is divided into two, internally friendly but mutually hostile groups. A dynamics of the relations has been proposed which leads to balanced states; there, a separate differential equation is designed for each out of K(K-1)/2 links. Here we demonstrate that besides the balanced states, whole families of stable-unbalanced states exist, and the number of these states is limited only by the size of the network. Examples are given for three and four internally friendly, but mutually hostile groups.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"44 1","pages":"129 - 137"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2019.1664509","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44010537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-24DOI: 10.1080/0022250X.2020.1774877
Tanu Wadhera, D. Kakkar
ABSTRACT The current study mathematically models key factors influencing Risk Perception (RP) that involves knowledge inferred from present situations and social learning, past information and priming effect. It is a generalized perception-based model and in the present paper, it is applied to Autism Spectrum Disorder (ASD). The computational model has been simulated for numerous rounds in two phases to find a quantitative value of the model factors. In the first phase, the model reflected dependency of RP upon recent past events and priming, while second phase revealed that social learning modulates RP, even in ASD. This further proves that peer-interaction plays a crucial role in building perception. Thus, our work provides a mathematical framework to evaluate perception objectively in any situation, such as risky/danger-situations.
{"title":"Modeling risk perception using independent and social learning: application to individuals with autism spectrum disorder","authors":"Tanu Wadhera, D. Kakkar","doi":"10.1080/0022250X.2020.1774877","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1774877","url":null,"abstract":"ABSTRACT The current study mathematically models key factors influencing Risk Perception (RP) that involves knowledge inferred from present situations and social learning, past information and priming effect. It is a generalized perception-based model and in the present paper, it is applied to Autism Spectrum Disorder (ASD). The computational model has been simulated for numerous rounds in two phases to find a quantitative value of the model factors. In the first phase, the model reflected dependency of RP upon recent past events and priming, while second phase revealed that social learning modulates RP, even in ASD. This further proves that peer-interaction plays a crucial role in building perception. Thus, our work provides a mathematical framework to evaluate perception objectively in any situation, such as risky/danger-situations.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"45 1","pages":"223 - 245"},"PeriodicalIF":1.0,"publicationDate":"2020-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1774877","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45121129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.1080/0022250X.2020.1753187
Eugenio Dacrema, S. Benati
ABSTRACT “Contentious politics” has become the main label to define a wide range of previously separated fields of research encompassing topics such as collective action, radicalization, armed insurgencies, and terrorism. Over the past two decades, scholars have tried to bring these various strands together into a unified field of study. In so doing, they have developed a methodology to isolate and analyze the common social and cognitive mechanisms underlying several diverse historical phenomena such as “insurgencies,” “revolutions,” “radicalization,” or “terrorism.” A multidisciplinary approach was adopted open to contributions from diverse fields such as economics, sociology, and psychology. The aim of this paper is to add to the multidisciplinarity of the field of Contentious Politics (CP) and introduce the instruments of Agent-Based Modeling and network game-theory to the study of some fundamental mechanisms analyzed within this literature. In particular, the model presented in this paper describes the dynamics of one process, here defined as “the radicalization of politics,” and its main underlying mechanisms. Their mechanics are analyzed in diverse social contexts differentiated by the values of four parameters: the extent of repression, inequality, social tolerance, and interconnectivity. The model can be used to explain the basic dynamics underlying different phenomena such as the development of radicalization, populism, and popular rebellions. In the final part, different societies characterized by diverse values of the aforementioned four parameters are tested through Python simulations, thereby offering an overview of the different outcomes that the mechanics of our model can shape according to the contexts in which they operate.
{"title":"The mechanics of contentious politics: an agent-based modeling approach","authors":"Eugenio Dacrema, S. Benati","doi":"10.1080/0022250X.2020.1753187","DOIUrl":"https://doi.org/10.1080/0022250X.2020.1753187","url":null,"abstract":"ABSTRACT “Contentious politics” has become the main label to define a wide range of previously separated fields of research encompassing topics such as collective action, radicalization, armed insurgencies, and terrorism. Over the past two decades, scholars have tried to bring these various strands together into a unified field of study. In so doing, they have developed a methodology to isolate and analyze the common social and cognitive mechanisms underlying several diverse historical phenomena such as “insurgencies,” “revolutions,” “radicalization,” or “terrorism.” A multidisciplinary approach was adopted open to contributions from diverse fields such as economics, sociology, and psychology. The aim of this paper is to add to the multidisciplinarity of the field of Contentious Politics (CP) and introduce the instruments of Agent-Based Modeling and network game-theory to the study of some fundamental mechanisms analyzed within this literature. In particular, the model presented in this paper describes the dynamics of one process, here defined as “the radicalization of politics,” and its main underlying mechanisms. Their mechanics are analyzed in diverse social contexts differentiated by the values of four parameters: the extent of repression, inequality, social tolerance, and interconnectivity. The model can be used to explain the basic dynamics underlying different phenomena such as the development of radicalization, populism, and popular rebellions. In the final part, different societies characterized by diverse values of the aforementioned four parameters are tested through Python simulations, thereby offering an overview of the different outcomes that the mechanics of our model can shape according to the contexts in which they operate.","PeriodicalId":50139,"journal":{"name":"Journal of Mathematical Sociology","volume":"44 1","pages":"163 - 198"},"PeriodicalIF":1.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0022250X.2020.1753187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42844139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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