C T Butts
Datos Biográficos
| ID | 1572 |
|---|---|
| NOMBRE | C T Butts |
| NOMBRES | C T |
| APELLIDO | Butts |
| FIRMA | BUTTS C T |
| AFILIACIONES | University of California, Irvine |
| ORCID | 0000-0002-7911-9834 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 78 |
| TOTAL DE CITAS | 499 |
| TOTAL COMO AUTOR | 78 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1999 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 12 |
Working together through the storm
This work studies how the tasks performed by organizations responding to a large-scale disaster affects the structures and interactions within an emergent multiorganizational network (EMON) of collaborations. We formulate a large language model-based methodology for systematic extraction of organizational task structures from long-form situational reports detailing the activities of organizations responding to the 2005 Hurricane Katrina disaster.…
Can an eye for an eye turn the whole world sanctioned
Birds of a feather sign together
Hearts for hazards
Calling the dead
A perturbative solution to the linear influence/network autocorrelation model under network dynamics
Simulating social network-based interventions for adolescent cigarette smoking
Social network-based adolescent substance use interventions have demonstrated potential for reducing adolescent cigarette smoking. This approach is premised upon leveraging youths' social networks for the diffusion of peer influence. Determining which adolescents to select in network interventions for reducing smoking is a major consideration. We utilize a simulation approach that first estimates Stochastic Actor-Oriented models (SAOM) of adolesc…
Parameter estimation procedures for exponential-family random graph models on count-valued networks
Marginal-Preserving Imputation of Three-Way Array Data in Nested Structures, with Application to Small Areal Units
Geospatial population data are typically organized into nested hierarchies of areal units, in which each unit is a union of units at the next lower level. There is increasing interest in analyses at fine geographic detail, but these lowest rungs of the areal unit hierarchy are often incompletely tabulated because of cost, privacy, or other considerations. Here, the authors introduce a novel algorithm to impute crosstabs of up to three dimensions …
A return to biased nets
The biased net paradigm was the first general and empirically tractable scheme for parameterizing complex patterns of dependence in networks, expressing deviations from uniform random graph structure in terms of latent "bias events," whose realizations enhance reciprocity, transitivity, or other structural features. Subsequent developments have introduced local specifications of biased nets, which reduce the need for approximations required in ea…
The spatial distribution of neighborhood safety ties
There is conflicting evidence in the literature regarding the relationship between residents’ social networks and their perceptions of neighborhood collective efficacy. This study proposes addressing this challenge with several theoretically motivated refinements using a large spatially stratified sample of residents in the Western United States. First, we consider various distinct types of social relationships, and find that our novel measure of…
Effects of temporal resolution adjustments on dynamic sexual contact models
Measuring structural HIV stigma
Continuous time graph processes with known ERGM equilibria
Graph processes that unfold in continuous time are of obvious theoretical and practical interest. Particularly useful are those whose long-term behavior converges to a graph distribution of known form. Here, we review some of the conditions for such convergence, and provide examples of novel and/or known processes that do so. These include subfamilies of the well-known stochastic actor oriented models, as well as continuum extensions of temporal …
California Exodus? A network model of population redistribution in the United States
Motivated by debates about California's net migration loss, we employ valued exponential-family random graph models to analyze the inter-county migration flow networks in the United States. We introduce a protocol that visualizes the complex effects of potential underlying mechanisms, and perform in silico knockout experiments to quantify their contribution to the California Exodus. We find that racial dynamics contribute to the California Exodus…
Modeling complex interactions in a disrupted environment
When subjected to a sudden, unanticipated threat, human groups characteristically self-organize to identify the threat, determine potential responses, and act to reduce its impact. Central to this process is the challenge of coordinating information sharing and response activity within a disrupted environment. In this paper, we consider coordination in the context of responses to the 2001 World Trade Center (WTC) disaster. Using records of commun…
Relational event models in network science
Relational event models (REMs) for the analysis of social interaction were first introduced 15 years ago. Since then, a number of important substantive and methodological contributions have produced their progressive refinement and hence facilitated their increased adoption in studies of social and other networks. Today REMs represent a well-established class of statistical models for relational processes. This special issue of Network Science de…
Rivalries, reputation, retaliation, and repetition
The hypothesis that violence—especially gang violence—behaves like a contagious disease has grown in popularity in recent years. Scholars have long observed the tendency for violence to cluster in time and space, but little research has focused on empirically unpacking the mechanisms that make violence contagious. In the context of gang violence, retaliation is the prototypical mechanism to explain why violence begets violence. In this study, we …
Rooted America
Despite the popular narrative that the United States is a "land of mobility," the country may have become a "rooted America" after a decades-long decline in migration rates. This article interrogates the lingering question about the social forces that limit migration, with an empirical focus on internal migration in the United States. We propose a systemic, network model of migration flows, combining demographic, economic, political, and geograph…
Practical Methods for Imputing Follower Count Dynamics
Microblogging sites have become important data sources for studying network dynamics and information transmission. Both areas of study, however, require accurate counts of indegree, or follower counts; unfortunately, collection of complete time series on follower counts can be limited by application programming interface constraints, system failures, or temporal constraints. In addition, there is almost always a time difference between the point …
The Moderating Role of Context
A social context can be viewed as an entity or unit around which a group of individuals organize their activities and interactions. Social contexts take such diverse forms as families, dwelling places, neighborhoods, classrooms, schools, workplaces, voluntary organizations, and sociocultural events or milieus. Understanding social contexts is essential for the study of individual behaviors, social networks, and the relationships between the two. …
Model Adequacy Checking/Goodness-of-fit Testing for Behavior in Joint Dynamic Network/Behavior Models, with an Extension to Two-mode Networks
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to reproduce network structure over time, to date there are few indices for assessing the ability of the model…
Does the spatial distribution of social ties impact neighborhood and city attachment? Differentials among urban/rural contexts
Staying connected under fire
Incorporating structural stigma into network analysis
A Relational Event Framework for Social Action
Social behavior over short time scales is frequently understood in terms of actions, which can be thought of as discrete events in which one individual emits a behavior directed at one or more other entities in his or her environment (possibly including himself or herself). Here, we introduce a highly flexible framework for modeling actions within social settings, which permits likelihood-based inference for behavioral mechanisms with complex dep…
The interaction of size and density with graph-level indices
Geographical variability and network structure
Women's employment and fertility
Bernoulli Graph Bounds for Generalrandom Graphs
General random graphs (i.e., stochastic models for networks incorporating heterogeneity and/or dependence among edges) are increasingly in wide use in the study of social and other networks, but few techniques other than simulation have been available for studying their behavior. On the other hand, random graphs with independent edges (i.e., the Bernoulli graphs) are well-studied, and a large literature exists regarding their properties. In this …
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…
Advances in generative structuralism
We set out an approach to theorizing termed generative structuralism. In two stages, respectively, we address two problems in social theory ‐ agency‐structure and micro‐macro linkage ‐ in relation to a central problem in the discipline, namely, the sense of its fragmentation. The first theoretical problem is: How can we create generative models and methods that are responsive to the interpenetration of agency and structure in social practices? We…
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…
Responder Communication Networks in the World Trade Center Disaster
Using archival materials obtained from the Port Authority of New York and New Jersey, we analyze networks of communication and interaction among responders to the World Trade Center disaster. Our findings indicate substantial variability in individual radio communication system usage, with both communication volume and number of partners exhibiting distributions with long upper tails. Responder communication patterns are well-described by a fairl…
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…
Mechanisms of Control in Emergent Interorganizational Networks
The delegation of decision‐making capacity from one actor to another—known variously as authority or control—is a central phenomenon of organizational sociology. Despite its theoretical and practical significance, however, the dynamics of control within disrupted settings (such as disasters) remain poorly understood. Here, we shed light on this question by a reexamination of historical data on multiorganizational disaster response networks, using…
Models for Generalized Location Systems
A formal framework is introduced for a general class of assignment systems that can be used to characterize a range of social phenomena. An exponential family of distributions is developed for modeling such systems, allowing for the incorporation of both attributional and relational covariates. Methods are shown for simulation and inference using the location system model. Two illustrative applications (occupational stratification and residential…
Does the spatial distribution of social ties impact neighborhood and city attachment? Differentials among urban/rural contexts
Exponential-family Random Graph Models for Rank-order Relational Data
Rank-order relational data, in which each actor ranks other actors according to some criterion, often arise from sociometric measurements of judgment or preference. The authors propose a general framework for representing such data, define a class of exponential-family models for rank-order relational structure, and derive sufficient statistics for interdependent ordinal judgments that do not require the assumption of comparability across raters.…
A Dynamic Model of Adolescent Friendship Networks, Parental Influences, and Smoking
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…
Rivalries, reputation, retaliation, and repetition
The hypothesis that violence—especially gang violence—behaves like a contagious disease has grown in popularity in recent years. Scholars have long observed the tendency for violence to cluster in time and space, but little research has focused on empirically unpacking the mechanisms that make violence contagious. In the context of gang violence, retaliation is the prototypical mechanism to explain why violence begets violence. In this study, we …
Relational event models in network science
Relational event models (REMs) for the analysis of social interaction were first introduced 15 years ago. Since then, a number of important substantive and methodological contributions have produced their progressive refinement and hence facilitated their increased adoption in studies of social and other networks. Today REMs represent a well-established class of statistical models for relational processes. This special issue of Network Science de…
Rooted America
Despite the popular narrative that the United States is a "land of mobility," the country may have become a "rooted America" after a decades-long decline in migration rates. This article interrogates the lingering question about the social forces that limit migration, with an empirical focus on internal migration in the United States. We propose a systemic, network model of migration flows, combining demographic, economic, political, and geograph…
Simulating Dynamic Network Models and Adolescent Smoking
We used a stochastic actor-based approach to examine the effect of peer influence and peer selection—the propensity to choose friends who are similar—on smoking among adolescents. Data were collected from 1994 to 1996 from 2 schools involved in the National Longitudinal Study of Adolescent to Adult Health, with respectively 2178 and 976 students, and different levels of smoking. Our experimental manipulations of the peer influence and selection p…
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…
Permutation Models for Relational Data
A common problem in sociology, psychology, biology, geography, and management science is the comparison of dyadic relational structures (i.e., graphs). Where these structures are formed on a common set of elements, a natural question that arises is whether there is a tendency for elements that are strongly connected in one set of structures to be more—or less—strongly connected within another set. We may ask, for instance, whether there is a corr…
A dynamic process interpretation of the sparse ERGM reference model
Exponential family random graph models (ERGMs) can be understood in terms of a set of structural biases that act on an underlying reference distribution. This distribution determines many aspects of the behavior and interpretation of the ERGM families incorporating it. One important innovation in this area has been the development of an ERGM reference model that produces realistic behavior when generalized to sparse networks of varying sizes. Her…
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…
Advances in generative structuralism
We set out an approach to theorizing termed generative structuralism. In two stages, respectively, we address two problems in social theory ‐ agency‐structure and micro‐macro linkage ‐ in relation to a central problem in the discipline, namely, the sense of its fragmentation. The first theoretical problem is: How can we create generative models and methods that are responsive to the interpenetration of agency and structure in social practices? We…
The interaction of size and density with graph-level indices
An axiomatic approach to network complexity
Despite the recent wave of interest in the social and physical sciences regarding “complexity,” relatively title attention has been given to the logical foundation of complexity measurement. With this in mind, a number of fairly simple, “reasonable” axioms for the measurement of network complexity are here presented, and some of the implications of these axioms are considered. It is shown that the only family of graph complexity measures satisfyi…
The complexity of social networks
Network inference, error, and informant (in)accuracy
A Structural Approach to the Representation of Life History Data 1
We propose a structural approach to the representation of life history data, based on an interval graph formalism. Various “life history graphs” are defined using this approach, and properties of such graphs are related to life course concepts. The analysis of life history graphs using standard network methods is illustrated, and suggestions are made regarding the use of network analysis for life course research. A duality is demonstrated between…
Exact bounds for degree centralization
Structural Change and Homeostasis in Organizations
We present here a decision-theoretic framework for the analysis of organizational change and homeostasis under risk. An algorithm is demonstrated that identifies optimal change paths given uncertainty involving execution time, intervention cost, and payoffs resulting from particular structural configurations. An elaboration of the basic framework to accommodate external structural perturbations is shown, and is applied to the problem of organizat…
Responder Communication Networks in the World Trade Center Disaster
Using archival materials obtained from the Port Authority of New York and New Jersey, we analyze networks of communication and interaction among responders to the World Trade Center disaster. Our findings indicate substantial variability in individual radio communication system usage, with both communication volume and number of partners exhibiting distributions with long upper tails. Responder communication patterns are well-described by a fairl…
Models for Generalized Location Systems
A formal framework is introduced for a general class of assignment systems that can be used to characterize a range of social phenomena. An exponential family of distributions is developed for modeling such systems, allowing for the incorporation of both attributional and relational covariates. Methods are shown for simulation and inference using the location system model. Two illustrative applications (occupational stratification and residential…
Permutation Models for Relational Data
A common problem in sociology, psychology, biology, geography, and management science is the comparison of dyadic relational structures (i.e., graphs). Where these structures are formed on a common set of elements, a natural question that arises is whether there is a tendency for elements that are strongly connected in one set of structures to be more—or less—strongly connected within another set. We may ask, for instance, whether there is a corr…
Rational and Empirical Play in the Simple Hot Potato Game
We define a “hot potato” to be a good that may be traded a finite number of times, but which becomes a bad if and when it can no longer be exchanged. We describe a game involving such goods, and show that non-acceptance is a unique subgame perfect Nash equilibrium for rational egoists. Contrastingly, experiments with human subjects show willingness to accept such goods under a variety of conditions. Acceptance of the hot potato is positively rela…
A statnet Tutorial
The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.
Social network analysis
Social network analysis is a large and growing body of research on the measurement and analysis of relational structure. Here, we review the fundamental concepts of network analysis, as well as a range of methods currently used in the field. Issues pertaining to data collection, analysis of single networks, network comparison, and analysis of individual‐level covariates are discussed, and a number of suggestions are made for avoiding common pitfa…
Ergm
We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and interrelated, tasks involving exponential-family random graph models (ERGMs): estimation, simulation, and goodness of fit. More precisely, ergm has the capability of approximating a maximum likelihood estimator for an ERGM given a network data set; simulating new network data sets fr…
A Relational Event Framework for Social Action
Social behavior over short time scales is frequently understood in terms of actions, which can be thought of as discrete events in which one individual emits a behavior directed at one or more other entities in his or her environment (possibly including himself or herself). Here, we introduce a highly flexible framework for modeling actions within social settings, which permits likelihood-based inference for behavioral mechanisms with complex dep…
Revisiting the Foundations of Network Analysis
Network analysis has emerged as a powerful way of studying phenomena as diverse as interpersonal interaction, connections among neurons, and the structure of the Internet. Appropriate use of network analysis depends, however, on choosing the right network representation for the problem at hand.
Women's employment and fertility
Geographical variability and network structure
Bayesian Meta-Analysis of Social Network Data via Conditional Uniform Graph Quantiles
Many basic questions in the social network literature center on the distribution of aggregate structural properties within and across populations of networks. Such questions are of increasing relevance given the growing availability of network data suitable for meta-analytic studies, as well as the rise of study designs that involve the collection of data on multiple networks drawn from a larger population. Despite this, little work has been done…
Bernoulli Graph Bounds for Generalrandom Graphs
General random graphs (i.e., stochastic models for networks incorporating heterogeneity and/or dependence among edges) are increasingly in wide use in the study of social and other networks, but few techniques other than simulation have been available for studying their behavior. On the other hand, random graphs with independent edges (i.e., the Bernoulli graphs) are well-studied, and a large literature exists regarding their properties. In this …
Mechanisms of Control in Emergent Interorganizational Networks
The delegation of decision‐making capacity from one actor to another—known variously as authority or control—is a central phenomenon of organizational sociology. Despite its theoretical and practical significance, however, the dynamics of control within disrupted settings (such as disasters) remain poorly understood. Here, we shed light on this question by a reexamination of historical data on multiorganizational disaster response networks, using…
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
Extrapolative simulation of neighborhood networks based on population spatial distribution
Extended structures of mediation
Computer Science (63 obras) · Complex Network Analysis Techniques (39 obras) · Mathematics (38 obras) · Psychology (31 obras) · Opinion Dynamics and Social Influence (21 obras) · Statistics (20 obras) · Political science (19 obras) · Sociology (19 obras) · Artificial Intelligence (18 obras) · Graph (18 obras)