Z Almquist
Datos Biográficos
| ID | 16990 |
|---|---|
| NOMBRE | Z Almquist |
| NOMBRES | Z |
| APELLIDO | Almquist |
| FIRMA | ALMQUIST Z |
| AFILIACIONES | University of Minnesota |
| ORCID | 0000-0002-1967-123X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 24 |
| TOTAL DE CITAS | 98 |
| TOTAL COMO AUTOR | 24 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 7 |
In search of common ground
Understanding the values held by negotiating parties is central to the design and success of international climate change agreements. However, empirical understandings of these values - and the manners by which they structure negotiating countries' value networks and interactions over time - are severely limited. In addressing this shortcoming, this paper uses keyword-assisted topic models to extract value networks for the 13 most recent Conferen…
Understanding the personal networks of people experiencing homelessness in King County, WA with aggregate relational data
Personal networks among people experiencing homelessness are vital but often overlooked. Drawing on a unique three-year data set (2022–2024) from over 3000 unhoused individuals in King County, Washington, this study analyzes the structure and change of four different personal networks: acquaintances, close friends, kinship (household), and peer referrals. Using this respondent-driven sample data set, we find that the mean size of the acquaintance…
Dynamic networks of negotiation for international climate change cooperation
The global response to climate change is negotiated through the UNFCCC's Conferences of the Parties (COPs). Initially focused on reducing emissions from developed countries, the UNFCCC has shifted toward broader global responsibility. Despite this, its formal institutions and negotiating blocs remain stable and do not fully explain COP successes or failures. This study examines country affiliations at each COP, which are not evident in public vot…
Encampments as neighbors
Political and educational dynamics behind the Evangelicals' stance against mask mandates during Covid-19 in the U.S
Recommendations for sharing network data and materials
One of the goals of open science is to promote the transparency and accessibility of research. Sharing data and materials used in network research is critical to these goals. In this paper, we present recommendations for whether, what, when, and where network data and materials should be shared. We recommend that network data and materials should be shared, but access to or use of shared data and materials may be restricted if necessary to avoid …
The Ecology of Unsheltered Homelessness
People experiencing homelessness (PEH) face extreme weather exposure and limited social support. However, few studies have empirically assessed biophysical and social drivers of health outcomes among unsheltered PEH. Social network, health, and outdoor exposure data were collected from a convenience sample of unsheltered PEH ( n = 246) in Nashville, TN, from August 2018-June 2019. Using multivariate fixed-effects linear regression models, we exam…
The form and evolution of international migration networks, 1990–2015
Presently, there is no agreed upon data-driven approach for identifying the geographic boundaries of migration networks that international migration systems are ultimately manifested in. Drawing from research on community detection methods, we introduce and apply the Information Theoretic Community Detection Algorithm for identifying and studying the geographic boundaries of migration networks. Using a new set of estimates of country-to-country m…
Large-scale spatial network models
To address the effects of increasing homeless populations, planners must understand the size and distribution of their homeless populations, as well as how information and resources are diffused throughout homeless communities. Currently, there is limited publicly available information on the homeless population, e.g. the estimates of the homeless, gathered annually by the US Housing & Urban Development point in time survey. While it is theorized…
Transmission‐dynamics models for the Sars Coronavirus‐2
Infectious disease is central to the human experience. It has served as a major source of selection on human populations (Armelagos & Dewey, 1970) and consequently many of the regions of the human genome that have been under particularly strong selection in the recent past (ie, since Holocene) are immune-related and presumably a function of infectious disease (Karlsson, Kwiatkowski, & Sabeti, 2014). Infectious disease is clearly central to our un…
Automated text analysis for understanding radical activism
It is difficult to study radical social movements due to their often covert, fluid, and fleeting qualities. As a consequence, data limitations and/or theoretical disagreements abound within research on such movements. We contend that the texts produced by radical movements and their supporters provide a window into group features, and that recent advances in automated text analysis methods afford a means for unlocking these texts in a systematic …
Using Radical Environmentalist Texts to Uncover Network Structure and Network Features
Radical social movements are broadly engaged in, and dedicated to, promoting change in their social environment. In their corresponding efforts to call attention to various causes, communicate with like-minded groups, and mobilize support for their activities, radical social movements also produce an enormous amount of text. These texts, like radical social movements themselves, are often (i) densely connected and (ii) highly variable in advocate…
When does open government shut? Predicting government responses to citizen information requests
Methods for the analysis of “big data” on citizen‐government interactions are necessary for theoretical assessments of bureaucratic responsiveness. Such big data methods also stand to benefit practitioners' abilities to monitor and improve these emerging transparency mechanisms. We consider supervised latent Dirichlet allocation (sLDA) as a potential method for these purposes. To this end, we use sLDA to examine the Mexican government's (non)resp…
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Illuminating Dark Networks
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
A Flexible Parameterization for Baseline Mean Degree in Multiple-Network ERGMs
The conventional exponential family random graph model (ERGM) parameterization leads to a baseline density that is constant in graph order (i.e., number of nodes); this is potentially problematic when modeling multiple networks of varying order. Prior work has suggested a simple alternative that results in constant expected mean degree. Here, we extend this approach by suggesting another alternative parameterization that allows for flexible model…
The Relationship of Age to Personal Network Size, Relational Multiplexity, and Proximity to Alters in the Western United States
Although personal network size ultimately declines with age, we find that increases for some relations extend well into late-midlife and most elders still maintain numerous contacts across diverse relations. The evidence we present suggests that older people tap into an wider variety of different network members for different types of relations than do younger people. This is true even for populations in rural settings, for whom immediate access …
Networks, Space, and Residents’ Perception of Cohesion
Community scholars increasingly focus on the linkage between residents’ sense of cohesion with the neighborhood and their own social networks in the neighborhood. A challenge is that whereas some research only focuses on residents’ social ties with fellow neighbors, such an approach misses out on the larger constellation of individuals’ relationships and the spatial distribution of those relationships. Using data from the Twin Communities Network…
Predicting Regional Self‐Identification from Spatial Network Models
Social scientists characterize social life as a hierarchy of environments, from the micro level of an individual's knowledge and perceptions to the macro level of large-scale social networks. In accordance with this typology, individuals are typically thought to reside in micro- and macro-level structures, composed of multifaceted relations (e.g., acquaintanceship, friendship, and kinship). This article analyzes the effects of social structure on…
Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics
Change in group size and composition has long been an important area of research in the social sciences. Similarly, interest in interaction dynamics has a long history in sociology and social psychology. However, the effects of endogenous group change on interaction dynamics are a surprisingly understudied area. One way to explore these relationships is through social network models. Network dynamics may be viewed as a process of change in the ed…
Dynamic Network Logistic Regression
Methods for analysis of network dynamics have seen great progress in the past decade. This article shows how Dynamic Network Logistic Regression techniques (a special case of the Temporal Exponential Random Graph Models) can be used to implement decision theoretic models for network dynamics in a panel data context. We also provide practical heuristics for model building and assessment. We illustrate the power of these techniques by applying them…
Random errors in egocentric networks
Point process models for household distributions within small areal units
Spatio-demographic data sets are increasingly available worldwide, permitting ever more realistic modeling and analysis of social processes ranging from mobility to disease transmission. The information provided by these data sets is typically aggregat
When does open government shut? Predicting government responses to citizen information requests
Methods for the analysis of “big data” on citizen‐government interactions are necessary for theoretical assessments of bureaucratic responsiveness. Such big data methods also stand to benefit practitioners' abilities to monitor and improve these emerging transparency mechanisms. We consider supervised latent Dirichlet allocation (sLDA) as a potential method for these purposes. To this end, we use sLDA to examine the Mexican government's (non)resp…
Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics
Change in group size and composition has long been an important area of research in the social sciences. Similarly, interest in interaction dynamics has a long history in sociology and social psychology. However, the effects of endogenous group change on interaction dynamics are a surprisingly understudied area. One way to explore these relationships is through social network models. Network dynamics may be viewed as a process of change in the ed…
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
The Relationship of Age to Personal Network Size, Relational Multiplexity, and Proximity to Alters in the Western United States
Although personal network size ultimately declines with age, we find that increases for some relations extend well into late-midlife and most elders still maintain numerous contacts across diverse relations. The evidence we present suggests that older people tap into an wider variety of different network members for different types of relations than do younger people. This is true even for populations in rural settings, for whom immediate access …
Dynamic Network Logistic Regression
Methods for analysis of network dynamics have seen great progress in the past decade. This article shows how Dynamic Network Logistic Regression techniques (a special case of the Temporal Exponential Random Graph Models) can be used to implement decision theoretic models for network dynamics in a panel data context. We also provide practical heuristics for model building and assessment. We illustrate the power of these techniques by applying them…
Networks, Space, and Residents’ Perception of Cohesion
Community scholars increasingly focus on the linkage between residents’ sense of cohesion with the neighborhood and their own social networks in the neighborhood. A challenge is that whereas some research only focuses on residents’ social ties with fellow neighbors, such an approach misses out on the larger constellation of individuals’ relationships and the spatial distribution of those relationships. Using data from the Twin Communities Network…
Predicting Regional Self‐Identification from Spatial Network Models
Social scientists characterize social life as a hierarchy of environments, from the micro level of an individual's knowledge and perceptions to the macro level of large-scale social networks. In accordance with this typology, individuals are typically thought to reside in micro- and macro-level structures, composed of multifaceted relations (e.g., acquaintanceship, friendship, and kinship). This article analyzes the effects of social structure on…
A Flexible Parameterization for Baseline Mean Degree in Multiple-Network ERGMs
The conventional exponential family random graph model (ERGM) parameterization leads to a baseline density that is constant in graph order (i.e., number of nodes); this is potentially problematic when modeling multiple networks of varying order. Prior work has suggested a simple alternative that results in constant expected mean degree. Here, we extend this approach by suggesting another alternative parameterization that allows for flexible model…
Point process models for household distributions within small areal units
Spatio-demographic data sets are increasingly available worldwide, permitting ever more realistic modeling and analysis of social processes ranging from mobility to disease transmission. The information provided by these data sets is typically aggregat
The form and evolution of international migration networks, 1990–2015
Presently, there is no agreed upon data-driven approach for identifying the geographic boundaries of migration networks that international migration systems are ultimately manifested in. Drawing from research on community detection methods, we introduce and apply the Information Theoretic Community Detection Algorithm for identifying and studying the geographic boundaries of migration networks. Using a new set of estimates of country-to-country m…
Using Radical Environmentalist Texts to Uncover Network Structure and Network Features
Radical social movements are broadly engaged in, and dedicated to, promoting change in their social environment. In their corresponding efforts to call attention to various causes, communicate with like-minded groups, and mobilize support for their activities, radical social movements also produce an enormous amount of text. These texts, like radical social movements themselves, are often (i) densely connected and (ii) highly variable in advocate…
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Random errors in egocentric networks
Point process models for household distributions within small areal units
Spatio-demographic data sets are increasingly available worldwide, permitting ever more realistic modeling and analysis of social processes ranging from mobility to disease transmission. The information provided by these data sets is typically aggregat
Dynamic Network Logistic Regression
Methods for analysis of network dynamics have seen great progress in the past decade. This article shows how Dynamic Network Logistic Regression techniques (a special case of the Temporal Exponential Random Graph Models) can be used to implement decision theoretic models for network dynamics in a panel data context. We also provide practical heuristics for model building and assessment. We illustrate the power of these techniques by applying them…
The Relationship of Age to Personal Network Size, Relational Multiplexity, and Proximity to Alters in the Western United States
Although personal network size ultimately declines with age, we find that increases for some relations extend well into late-midlife and most elders still maintain numerous contacts across diverse relations. The evidence we present suggests that older people tap into an wider variety of different network members for different types of relations than do younger people. This is true even for populations in rural settings, for whom immediate access …
Networks, Space, and Residents’ Perception of Cohesion
Community scholars increasingly focus on the linkage between residents’ sense of cohesion with the neighborhood and their own social networks in the neighborhood. A challenge is that whereas some research only focuses on residents’ social ties with fellow neighbors, such an approach misses out on the larger constellation of individuals’ relationships and the spatial distribution of those relationships. Using data from the Twin Communities Network…
Predicting Regional Self‐Identification from Spatial Network Models
Social scientists characterize social life as a hierarchy of environments, from the micro level of an individual's knowledge and perceptions to the macro level of large-scale social networks. In accordance with this typology, individuals are typically thought to reside in micro- and macro-level structures, composed of multifaceted relations (e.g., acquaintanceship, friendship, and kinship). This article analyzes the effects of social structure on…
Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics
Change in group size and composition has long been an important area of research in the social sciences. Similarly, interest in interaction dynamics has a long history in sociology and social psychology. However, the effects of endogenous group change on interaction dynamics are a surprisingly understudied area. One way to explore these relationships is through social network models. Network dynamics may be viewed as a process of change in the ed…
A Flexible Parameterization for Baseline Mean Degree in Multiple-Network ERGMs
The conventional exponential family random graph model (ERGM) parameterization leads to a baseline density that is constant in graph order (i.e., number of nodes); this is potentially problematic when modeling multiple networks of varying order. Prior work has suggested a simple alternative that results in constant expected mean degree. Here, we extend this approach by suggesting another alternative parameterization that allows for flexible model…
The Persistence of Division
As noted by theorists such as Blau, Durkheim, Mayhew, and others, interaction opportunity is a fundamental determinant of social structure. One of the most empirically well established factors influencing interaction opportunity is that of physical distance. The strength of this effect in modern societies, however, has been called into question because of technological advances (the so-called death-of-distance hypothesis). Here, the authors exami…
Illuminating Dark Networks
Using Radical Environmentalist Texts to Uncover Network Structure and Network Features
Radical social movements are broadly engaged in, and dedicated to, promoting change in their social environment. In their corresponding efforts to call attention to various causes, communicate with like-minded groups, and mobilize support for their activities, radical social movements also produce an enormous amount of text. These texts, like radical social movements themselves, are often (i) densely connected and (ii) highly variable in advocate…
When does open government shut? Predicting government responses to citizen information requests
Methods for the analysis of “big data” on citizen‐government interactions are necessary for theoretical assessments of bureaucratic responsiveness. Such big data methods also stand to benefit practitioners' abilities to monitor and improve these emerging transparency mechanisms. We consider supervised latent Dirichlet allocation (sLDA) as a potential method for these purposes. To this end, we use sLDA to examine the Mexican government's (non)resp…
Unbiased Sampling of Users from (Online) Activity Data
Online platforms offer new opportunities to study human behavior. However, while social scientists are often interested in using behavioral trace data-data created by a user over the course of their everyday life-to draw inferences about users, many online platforms only allow data to be sampled based on user activities (leading to data sets that are biased toward highly active users). Here, we introduce a simple method for reweighting activity-b…
Large-scale spatial network models
To address the effects of increasing homeless populations, planners must understand the size and distribution of their homeless populations, as well as how information and resources are diffused throughout homeless communities. Currently, there is limited publicly available information on the homeless population, e.g. the estimates of the homeless, gathered annually by the US Housing & Urban Development point in time survey. While it is theorized…
Transmission‐dynamics models for the Sars Coronavirus‐2
Infectious disease is central to the human experience. It has served as a major source of selection on human populations (Armelagos & Dewey, 1970) and consequently many of the regions of the human genome that have been under particularly strong selection in the recent past (ie, since Holocene) are immune-related and presumably a function of infectious disease (Karlsson, Kwiatkowski, & Sabeti, 2014). Infectious disease is clearly central to our un…
Automated text analysis for understanding radical activism
It is difficult to study radical social movements due to their often covert, fluid, and fleeting qualities. As a consequence, data limitations and/or theoretical disagreements abound within research on such movements. We contend that the texts produced by radical movements and their supporters provide a window into group features, and that recent advances in automated text analysis methods afford a means for unlocking these texts in a systematic …
The Ecology of Unsheltered Homelessness
People experiencing homelessness (PEH) face extreme weather exposure and limited social support. However, few studies have empirically assessed biophysical and social drivers of health outcomes among unsheltered PEH. Social network, health, and outdoor exposure data were collected from a convenience sample of unsheltered PEH ( n = 246) in Nashville, TN, from August 2018-June 2019. Using multivariate fixed-effects linear regression models, we exam…
The form and evolution of international migration networks, 1990–2015
Presently, there is no agreed upon data-driven approach for identifying the geographic boundaries of migration networks that international migration systems are ultimately manifested in. Drawing from research on community detection methods, we introduce and apply the Information Theoretic Community Detection Algorithm for identifying and studying the geographic boundaries of migration networks. Using a new set of estimates of country-to-country m…
Recommendations for sharing network data and materials
One of the goals of open science is to promote the transparency and accessibility of research. Sharing data and materials used in network research is critical to these goals. In this paper, we present recommendations for whether, what, when, and where network data and materials should be shared. We recommend that network data and materials should be shared, but access to or use of shared data and materials may be restricted if necessary to avoid …
Dynamic networks of negotiation for international climate change cooperation
The global response to climate change is negotiated through the UNFCCC's Conferences of the Parties (COPs). Initially focused on reducing emissions from developed countries, the UNFCCC has shifted toward broader global responsibility. Despite this, its formal institutions and negotiating blocs remain stable and do not fully explain COP successes or failures. This study examines country affiliations at each COP, which are not evident in public vot…
Encampments as neighbors
Political and educational dynamics behind the Evangelicals' stance against mask mandates during Covid-19 in the U.S
In search of common ground
Understanding the values held by negotiating parties is central to the design and success of international climate change agreements. However, empirical understandings of these values - and the manners by which they structure negotiating countries' value networks and interactions over time - are severely limited. In addressing this shortcoming, this paper uses keyword-assisted topic models to extract value networks for the 13 most recent Conferen…
Understanding the personal networks of people experiencing homelessness in King County, WA with aggregate relational data
Personal networks among people experiencing homelessness are vital but often overlooked. Drawing on a unique three-year data set (2022–2024) from over 3000 unhoused individuals in King County, Washington, this study analyzes the structure and change of four different personal networks: acquaintances, close friends, kinship (household), and peer referrals. Using this respondent-driven sample data set, we find that the mean size of the acquaintance…
Computer Science (13 obras) · Sociology (12 obras) · Political science (10 obras) · Geography (9 obras) · Complex Network Analysis Techniques (7 obras) · Psychology (7 obras) · Law (6 obras) · Population (6 obras) · Artificial Intelligence (5 obras) · Computational and Text Analysis Methods (5 obras)