Per Block
Biographic Data
| ID | 3583564 |
|---|---|
| NAME | Per Block |
| GIVEN NAMES | Per |
| FAMILY NAME | Block |
| SIGNATURE | BLOCK P |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0002-7583-2392 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 190 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 7 |
The Structure of Inter-Occupational Marriages in the United States 1970-2021
The occupation one holds is a major indicator of income, education, cultural and social capital, and day-to-day experiences. As such, understanding the network of relations between occupations is a natural sociological question. We explore the structure of inter-occupational marriages in the United States, 1970-2021. Using a social network approach, our analysis shows that people marry others from their own occupation and occupations with similar…
L’argent peut-il amener les hommes à exercer des professions à prédominance féminine
The socio-organisational embeddedness of work-life mobility
The gendered maths confidence gap, social influence and social integration
While there is little discernible difference between girls and boys in maths competence during secondary education, on average, girls have lower confidence in their maths skills. Over time, this difference leads to gendered choices of education and occupation. Research explaining the maths confidence gap focusses on psychological factors and socialisation into stereotypical gender roles. However, how the peer context shapes the self-perception of…
Modeling Partitions of Individuals
Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. The authors introduce a statistical framework for cross-sectional observations of groups with exclusive membership to illuminate the social and organizational mechanisms that bring people together. Drawing from stochastic models for networks and partitions, the proposed framework introduces an exponential fa…
Understanding the self-organization of occupational sex segregation with mobility networks
Decades after the beginning of the gender revolution, most women and men still work in sex-typed occupations. This is a primary driver of the gender wage gap. Most research describing the patterns of occupational sex segregation focuses on supposedly innate job characteristics that match gender stereotypical abilities and preferences, such as the use of mathematical skills or social skills, on income and status differences between occupations, an…
Circular specifications and “predicting” with information from the future: Errors in the empirical Saom–TERGM comparison of Leifeld & Cranmer
We review the empirical comparison of Stochastic Actor-oriented Models (SAOMs) and Temporal Exponential Random Graph Models (TERGMs) by Leifeld & Cranmer in this journal [Network Science 7(1):20–51, 2019]. When specifying their TERGM, they use exogenous nodal attributes calculated from the outcome networks’ observed degrees instead of endogenous ERGM equivalents of structural effects as used in the SAOM. This turns the modeled endogeneity into ci…
A statistical model for the analysis of mobility tables as weighted networks with an application to faculty hiring networks
Demographic science aids in understanding the spread and fatality rates of Covid-19
Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far…
Sharing the load: Contagion and tolerance of mood in social networks
The relations between self and others are fluid and constantly changing but exert a profound influence on our identity and emotional experiences. Indeed, human emotions are frequently and intensely social, and the people with whom we interact can alter our momentary mood. But does emotional "contagion" extend over prolonged periods of hours to days, and, if so, how does it propagate through interconnected groups? Answering this question is empiri…
A model for the dynamics of face-to-face interactions in social groups
Face-to-face interactions in social groups are a central aspect of human social lives. Although the composition of such groups has received ample attention in various fields—e.g., sociology, social psychology, management, and educational science—their micro-level dynamics are rarely analyzed empirically. In this article, we present a new statistical network model (DyNAM-i) that can represent the dynamics of conversation groups and interpersonal i…
Social network-based distancing strategies to flatten the Covid-19 curve in a post-lockdown world
Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or near-complete lockdown demand the development of more moderate contact-reduction policies. Adopting a social network approach, we evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world. These are: limitin…
Limits to inferring status from friendship relations
Forms of Dependence: Comparing Saoms and ERGMs From Basic Principles
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that current literature tends to miss. First, the ERGM is defined on the graph level, while the SAOM is def…
Network Evolution and Social Situations
Studying the evolution of friendship networks has a long tradition in sociology. Multiple micromechanisms underlying friendship formation have been discovered, the most pervasive being reciprocity, transitivity, and homophily. Although each mechanism is studied in depth on its own, their relation to one another is rarely analyzed, and a theoretical framework that integrates research on all of them does not exist. This article introduces a friends…
Social interaction and pain: An arctic expedition
Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power
Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events
Ample theoretical work on social networks is explicitly or implicitly concerned with the role of interpersonal interaction. However, empirical studies to date mostly focus on the analysis of stable relations. This article introduces Dynamic Network Actor Models (DyNAMs) for the study of directed, interpersonal interaction through time. The presented model addresses three important aspects of interpersonal interaction. First, interactions unfold i…
Dynamic Network Actor Models: Investigating Coordination Ties through Time
Important questions in the social sciences are concerned with the circumstances under which individuals, organizations, or states mutually agree to form social network ties. Examples of these coordination ties are found in such diverse domains as scientific collaboration, international treaties, and romantic relationships and marriage. This article introduces dynamic network actor models (DyNAM) for the statistical analysis of coordination networ…
Reciprocity, transitivity, and the mysterious three-cycle
Multidimensional homophily in friendship networks
Homophily—the tendency for individuals to associate with similar others—is one of the most persistent findings in social network analysis. Its importance is established along the lines of a multitude of sociologically relevant dimensions, e.g. sex, ethnicity and social class. Existing research, however, mostly focuses on one dimension at a time. But people are inherently multidimensional, have many attributes and are members of multiple groups. I…
Multidimensional homophily in friendship networks
Homophily—the tendency for individuals to associate with similar others—is one of the most persistent findings in social network analysis. Its importance is established along the lines of a multitude of sociologically relevant dimensions, e.g. sex, ethnicity and social class. Existing research, however, mostly focuses on one dimension at a time. But people are inherently multidimensional, have many attributes and are members of multiple groups. I…
Dynamic Network Actor Models: Investigating Coordination Ties through Time
Important questions in the social sciences are concerned with the circumstances under which individuals, organizations, or states mutually agree to form social network ties. Examples of these coordination ties are found in such diverse domains as scientific collaboration, international treaties, and romantic relationships and marriage. This article introduces dynamic network actor models (DyNAM) for the statistical analysis of coordination networ…
Network Evolution and Social Situations
Studying the evolution of friendship networks has a long tradition in sociology. Multiple micromechanisms underlying friendship formation have been discovered, the most pervasive being reciprocity, transitivity, and homophily. Although each mechanism is studied in depth on its own, their relation to one another is rarely analyzed, and a theoretical framework that integrates research on all of them does not exist. This article introduces a friends…
Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events
Ample theoretical work on social networks is explicitly or implicitly concerned with the role of interpersonal interaction. However, empirical studies to date mostly focus on the analysis of stable relations. This article introduces Dynamic Network Actor Models (DyNAMs) for the study of directed, interpersonal interaction through time. The presented model addresses three important aspects of interpersonal interaction. First, interactions unfold i…
Forms of Dependence: Comparing Saoms and ERGMs From Basic Principles
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that current literature tends to miss. First, the ERGM is defined on the graph level, while the SAOM is def…
Social network-based distancing strategies to flatten the Covid-19 curve in a post-lockdown world
Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or near-complete lockdown demand the development of more moderate contact-reduction policies. Adopting a social network approach, we evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world. These are: limitin…
A model for the dynamics of face-to-face interactions in social groups
Face-to-face interactions in social groups are a central aspect of human social lives. Although the composition of such groups has received ample attention in various fields—e.g., sociology, social psychology, management, and educational science—their micro-level dynamics are rarely analyzed empirically. In this article, we present a new statistical network model (DyNAM-i) that can represent the dynamics of conversation groups and interpersonal i…
Modeling Partitions of Individuals
Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. The authors introduce a statistical framework for cross-sectional observations of groups with exclusive membership to illuminate the social and organizational mechanisms that bring people together. Drawing from stochastic models for networks and partitions, the proposed framework introduces an exponential fa…
Circular specifications and “predicting” with information from the future: Errors in the empirical Saom–TERGM comparison of Leifeld & Cranmer
We review the empirical comparison of Stochastic Actor-oriented Models (SAOMs) and Temporal Exponential Random Graph Models (TERGMs) by Leifeld & Cranmer in this journal [Network Science 7(1):20–51, 2019]. When specifying their TERGM, they use exogenous nodal attributes calculated from the outcome networks’ observed degrees instead of endogenous ERGM equivalents of structural effects as used in the SAOM. This turns the modeled endogeneity into ci…
A statistical model for the analysis of mobility tables as weighted networks with an application to faculty hiring networks
Social interaction and pain: An arctic expedition
Understanding the self-organization of occupational sex segregation with mobility networks
Decades after the beginning of the gender revolution, most women and men still work in sex-typed occupations. This is a primary driver of the gender wage gap. Most research describing the patterns of occupational sex segregation focuses on supposedly innate job characteristics that match gender stereotypical abilities and preferences, such as the use of mathematical skills or social skills, on income and status differences between occupations, an…
The socio-organisational embeddedness of work-life mobility
Reciprocity, transitivity, and the mysterious three-cycle
Multidimensional homophily in friendship networks
Homophily—the tendency for individuals to associate with similar others—is one of the most persistent findings in social network analysis. Its importance is established along the lines of a multitude of sociologically relevant dimensions, e.g. sex, ethnicity and social class. Existing research, however, mostly focuses on one dimension at a time. But people are inherently multidimensional, have many attributes and are members of multiple groups. I…
Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power
Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events
Ample theoretical work on social networks is explicitly or implicitly concerned with the role of interpersonal interaction. However, empirical studies to date mostly focus on the analysis of stable relations. This article introduces Dynamic Network Actor Models (DyNAMs) for the study of directed, interpersonal interaction through time. The presented model addresses three important aspects of interpersonal interaction. First, interactions unfold i…
Dynamic Network Actor Models: Investigating Coordination Ties through Time
Important questions in the social sciences are concerned with the circumstances under which individuals, organizations, or states mutually agree to form social network ties. Examples of these coordination ties are found in such diverse domains as scientific collaboration, international treaties, and romantic relationships and marriage. This article introduces dynamic network actor models (DyNAM) for the statistical analysis of coordination networ…
Network Evolution and Social Situations
Studying the evolution of friendship networks has a long tradition in sociology. Multiple micromechanisms underlying friendship formation have been discovered, the most pervasive being reciprocity, transitivity, and homophily. Although each mechanism is studied in depth on its own, their relation to one another is rarely analyzed, and a theoretical framework that integrates research on all of them does not exist. This article introduces a friends…
Social interaction and pain: An arctic expedition
Limits to inferring status from friendship relations
Forms of Dependence: Comparing Saoms and ERGMs From Basic Principles
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that current literature tends to miss. First, the ERGM is defined on the graph level, while the SAOM is def…
Demographic science aids in understanding the spread and fatality rates of Covid-19
Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far…
Sharing the load: Contagion and tolerance of mood in social networks
The relations between self and others are fluid and constantly changing but exert a profound influence on our identity and emotional experiences. Indeed, human emotions are frequently and intensely social, and the people with whom we interact can alter our momentary mood. But does emotional "contagion" extend over prolonged periods of hours to days, and, if so, how does it propagate through interconnected groups? Answering this question is empiri…
A model for the dynamics of face-to-face interactions in social groups
Face-to-face interactions in social groups are a central aspect of human social lives. Although the composition of such groups has received ample attention in various fields—e.g., sociology, social psychology, management, and educational science—their micro-level dynamics are rarely analyzed empirically. In this article, we present a new statistical network model (DyNAM-i) that can represent the dynamics of conversation groups and interpersonal i…
Social network-based distancing strategies to flatten the Covid-19 curve in a post-lockdown world
Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or near-complete lockdown demand the development of more moderate contact-reduction policies. Adopting a social network approach, we evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world. These are: limitin…
Circular specifications and “predicting” with information from the future: Errors in the empirical Saom–TERGM comparison of Leifeld & Cranmer
We review the empirical comparison of Stochastic Actor-oriented Models (SAOMs) and Temporal Exponential Random Graph Models (TERGMs) by Leifeld & Cranmer in this journal [Network Science 7(1):20–51, 2019]. When specifying their TERGM, they use exogenous nodal attributes calculated from the outcome networks’ observed degrees instead of endogenous ERGM equivalents of structural effects as used in the SAOM. This turns the modeled endogeneity into ci…
A statistical model for the analysis of mobility tables as weighted networks with an application to faculty hiring networks
Modeling Partitions of Individuals
Despite the central role of self-assembled groups in animal and human societies, statistical tools to explain their composition are limited. The authors introduce a statistical framework for cross-sectional observations of groups with exclusive membership to illuminate the social and organizational mechanisms that bring people together. Drawing from stochastic models for networks and partitions, the proposed framework introduces an exponential fa…
Understanding the self-organization of occupational sex segregation with mobility networks
Decades after the beginning of the gender revolution, most women and men still work in sex-typed occupations. This is a primary driver of the gender wage gap. Most research describing the patterns of occupational sex segregation focuses on supposedly innate job characteristics that match gender stereotypical abilities and preferences, such as the use of mathematical skills or social skills, on income and status differences between occupations, an…
The gendered maths confidence gap, social influence and social integration
While there is little discernible difference between girls and boys in maths competence during secondary education, on average, girls have lower confidence in their maths skills. Over time, this difference leads to gendered choices of education and occupation. Research explaining the maths confidence gap focusses on psychological factors and socialisation into stereotypical gender roles. However, how the peer context shapes the self-perception of…
L’argent peut-il amener les hommes à exercer des professions à prédominance féminine
The socio-organisational embeddedness of work-life mobility
The Structure of Inter-Occupational Marriages in the United States 1970-2021
The occupation one holds is a major indicator of income, education, cultural and social capital, and day-to-day experiences. As such, understanding the network of relations between occupations is a natural sociological question. We explore the structure of inter-occupational marriages in the United States, 1970-2021. Using a social network approach, our analysis shows that people marry others from their own occupation and occupations with similar…
Computer Science (13 works) · Psychology (12 works) · Social Psychology (12 works) · Complex Network Analysis Techniques (11 works) · Mathematics (8 works) · Opinion Dynamics and Social Influence (8 works) · Social Psychology (8 works) · Sociology (8 works) · Mental Health Research Topics (6 works) · Social media (6 works)