P Pattison
Datos Biográficos
| ID | 3997 |
|---|---|
| NOMBRE | P Pattison |
| NOMBRES | P |
| APELLIDO | Pattison |
| FIRMA | PATTISON P |
| AFILIACIONES | The University of Melbourne |
| ORCID | 0000-0001-9626-2897 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 47 |
| TOTAL DE CITAS | 654 |
| TOTAL COMO AUTOR | 47 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1978 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 10 |
Duality
Exponential random graph models and pendant-triangle statistics
Renewing the Sydney undergraduate curriculum
A number of commentators have recently called for a re-examination of the purpose and value of undergraduate education, arguing that change is required if universities are to deliver the value in educational outcomes that students and communities now require for a changing and challenging world (for example, Aoun, 2017; Bok, 2020; Davidson, 2017; Fischman & Gardner, 2022). Indeed, some have argued that such change is necessary to stem an emerging…
The effect of group involvement on post-disaster mental health
Social selection models for multilevel networks
Social Network Models
Social Networks, Algebra of
Relational event models for social learning in Moocs
Hepatitis C transmission and treatment as prevention – The role of the injecting network
Exponential random graph models for multilevel networks
Bayesian analysis for partially observed network data, missing ties, attributes and actors
Modelling a disease-relevant contact network of people who inject drugs
Exponential random graph model specifications for bipartite networks—A dependence hierarchy
Short- and long-term stability in organizational networks
Beyond Bushfires
Conducting the study over five years and focussing on the role of social networks will provide new insights into the interplay between individual and community factors and their influence on recovery from natural disaster over time. The study findings will thereby expand understanding of long term disaster recovery needs for individuals and communities
“Trust Me”
Networks and geography
Network Governance and Environmental Management
In this article we propose structural preconditions for effective network governance, including network structures that can facilitate effective coordination of action (such as relational and structural embeddedness), and agreement among network actors about goals and actions. We illustrate circumstances in which these preconditions do not seem to be met through a case study of environmental governance of a major water resource – the Swan River i…
Exponential random graph () models for affiliation networks
Closure, connectivity and degree distributions
An introduction to exponential random graph (p*) models for social networks
Recent developments in exponential random graph (p*) models for social networks
Mental health problems in rural contexts
The aim of this review was to determine which sociodemographic, illness-related and psychological/attitudinal factors impact on a person's decision to seek help and the factors associated with attitudes to help-seeking in rural contexts. A computer search of the literature for 1990 – 2006 using the terms “help-seeking” and “mental” found 350 studies. Examination of the abstracts by one of the authors (AK) identified 20 relevant studies, which we …
New Specifications for Exponential Random Graph Models
The most promising class of statistical models for expressing structural properties of social networks observed at one moment in time is the class of exponential random graph models (ERGMs), also known as p* models. The strong point of these models is that they can represent a variety of structural tendencies, such as transitivity, that define complicated dependence patterns not easily modeled by more basic probability models. Recently, Markov ch…
Small and Other Worlds
Using simulation, we contrast global network structures—in particular, small world properties—with the local patterning that generates the network. We show how to simulate Markov graph distributions based on assumptions about simple local social processes. We examine the resulting global structures against appropriate Bernoulli graph distributions and provide examples of stochastic global “worlds,” including small worlds, long path worlds, and no…
New Specifications for Exponential Random Graph Models
The most promising class of statistical models for expressing structural properties of social networks observed at one moment in time is the class of exponential random graph models (ERGMs), also known as p* models. The strong point of these models is that they can represent a variety of structural tendencies, such as transitivity, that define complicated dependence patterns not easily modeled by more basic probability models. Recently, Markov ch…
Neighborhood-Based Models for Social Networks
We argue that social networks can be modeled as the outcome of processes that occur in overlapping local regions of the network, termed local social neighborhoods. Each neighborhood is conceived as a possible site of interaction and corresponds to a subset of possible network ties. In this paper, we discuss hypotheses about the form of these neighborhoods, and we present two new and theoretically plausible ways in which neighborhood-based models …
Network Governance and Environmental Management
In this article we propose structural preconditions for effective network governance, including network structures that can facilitate effective coordination of action (such as relational and structural embeddedness), and agreement among network actors about goals and actions. We illustrate circumstances in which these preconditions do not seem to be met through a case study of environmental governance of a major water resource – the Swan River i…
Small and Other Worlds
Using simulation, we contrast global network structures—in particular, small world properties—with the local patterning that generates the network. We show how to simulate Markov graph distributions based on assumptions about simple local social processes. We examine the resulting global structures against appropriate Bernoulli graph distributions and provide examples of stochastic global “worlds,” including small worlds, long path worlds, and no…
Composing a civic arena
Random graph models for temporal processes in social networks
We generalize the graphical modeling approach of p* social influence models to develop discrete time models for the temporal evolution of social networks. Plausible general processes pertaining to network evolution are broadly discussed as a basis for across‐time dependence assumptions. Systematic temporal processes are construed as effects that are homogeneous across the network, and that reflect dynamics inherent in a particular social relation…
The Joint Role Structure of Two Communities' Elites
Blockmodel analysis offers a perspective for developing operational theories of role interlock across multiple networks. We identify precisely those features of role interlock that are shared by the elites of two small cities. This joint role structure is then interpreted with the aid of an algebraic model that we formulate on the basis of Granovetter's (1973) 'strength of weak ties' argument. Our discussion illustrates the operationalization of …
Changing places
The effect of group involvement on post-disaster mental health
Mental health problems in rural contexts
The aim of this review was to determine which sociodemographic, illness-related and psychological/attitudinal factors impact on a person's decision to seek help and the factors associated with attitudes to help-seeking in rural contexts. A computer search of the literature for 1990 – 2006 using the terms “help-seeking” and “mental” found 350 studies. Examination of the abstracts by one of the authors (AK) identified 20 relevant studies, which we …
The role of conceptual understanding in children's addition problem solving
The study examined the relationship between children's conceptual understanding and addition problem-solving procedures. Forty-eight 6- to 8-year-olds solved addition problems and, in a 2nd task, were prompted to judge whether a puppet could use the arithmetic properties of one problem to solve the next problem. Relational properties between consecutive problems were manipulated to reflect aspects of additive composition, commutativity, and assoc…
Patterns of knowledge in children's addition
Patterns of conceptual and procedural knowledge of addition were examined in 5- to 8-year-olds (N = 80). Conceptual knowledge was measured by assessing children's responses to problems in which addends were reordered or decomposed and recombined. Problems were presented using abstract symbols, numbers, and physical objects. Children were more successful in noticing that addends had been reordered rather than decomposed and in noticing the decompo…
Youth Culture and Smoking
This article assesses four theoretical models proposed to predict future smoking. Young adults were surveyed at three six-month intervals, the first occurring three months after leaving school. Models 1 and 2 were versions of theory of triadic influence (TTI), which links a person's behavioural experience and cognitions to their future behaviour. Model 1 did not fit the data; the fit of model 2 was just adequate. Model 3 combined TTI and self-cat…
Network models
A Reply to McConaghy
Contrasting accounts of the common structure in the blockmodels for two community elites (Breiger and Pattison, 1978; McConaghy, 1980) are shown to follow from two distinct means of interpreting the semigroup representation of role structure in a single population. The two candidate sets of interpretative features for the semigroup are the homomorphisms which it admits and the equations by which it is defined. These alternative descriptions lead …
The Joint Role Structure of Two Communities' Elites
Blockmodel analysis offers a perspective for developing operational theories of role interlock across multiple networks. We identify precisely those features of role interlock that are shared by the elites of two small cities. This joint role structure is then interpreted with the aid of an algebraic model that we formulate on the basis of Granovetter's (1973) 'strength of weak ties' argument. Our discussion illustrates the operationalization of …
A Reply to McConaghy
Contrasting accounts of the common structure in the blockmodels for two community elites (Breiger and Pattison, 1978; McConaghy, 1980) are shown to follow from two distinct means of interpreting the semigroup representation of role structure in a single population. The two candidate sets of interpretative features for the semigroup are the homomorphisms which it admits and the equations by which it is defined. These alternative descriptions lead …
Cumulated social roles
Network models
Social Cognition in Context
Algebraic Models for Social Networks
Logit Models and Logistic Regressions for Social Networks
Spanning nearly sixty years of research, statistical network analysis has passed through (at least) two generations of researchers and models. Beginning in the late 1930's, the first generation of research dealt with the distribution of various network statistics, under a variety of null models. The second generation, beginning in the 1970's and continuing into the 1980's, concerned models, usually for probabilities of relational ties among very …
Instability in smoking patterns among school leavers in Victoria, Australia
There is considerable flux in smoking patterns among young adults after leaving school, suggesting an opportunity to intervene with smoking prevention programmes at this stage of development
The role of conceptual understanding in children's addition problem solving
The study examined the relationship between children's conceptual understanding and addition problem-solving procedures. Forty-eight 6- to 8-year-olds solved addition problems and, in a 2nd task, were prompted to judge whether a puppet could use the arithmetic properties of one problem to solve the next problem. Relational properties between consecutive problems were manipulated to reflect aspects of additive composition, commutativity, and assoc…
Logit Models and Logistic Regressions for Social Networks
This paper generalizes the p * model for dichotomous social network data (Wasserman & Pattison, 1996) to the polytomous case. The generalization is achieved by transforming valued social networks into three-way binary arrays. This data transformation requires a modification of the Hammersley-Clifford theorem that underpins the p * class of models. We demonstrate that, provided that certain (non-observed) data patterns are excluded from considerat…
Logit models and logistic regressions for social networks
The research described here builds on our previous work by generalizing the univariate models described there to models for multivariate relations. This family, labelled p*, generalizes the Markov random graphs of Frank and Strauss, which were further developed by them and others, building on Besag's ideas on estimation. These models were first used to model random variables embedded in lattices by Ising, and have been quite common in the study o…
Multiplexity, generalized exchange and cooperation in organizations
Composing a civic arena
Network Models for Social Influence Processes
This paper generalizes the p * class of models for social network data to predict individual-level attributes from network ties. The p * model for social networks permits the modeling of social relationships in terms of particular local relational or network configurations. In this paper we present methods for modeling attribute measures in terms of network ties, and so construct p * models for the patterns of social influence within a network. A…
Network models for social selection processes
Random graph models for temporal processes in social networks
We generalize the graphical modeling approach of p* social influence models to develop discrete time models for the temporal evolution of social networks. Plausible general processes pertaining to network evolution are broadly discussed as a basis for across‐time dependence assumptions. Systematic temporal processes are construed as effects that are homogeneous across the network, and that reflect dynamics inherent in a particular social relation…
Lattices and dimensional representations
Neighborhood-Based Models for Social Networks
We argue that social networks can be modeled as the outcome of processes that occur in overlapping local regions of the network, termed local social neighborhoods. Each neighborhood is conceived as a possible site of interaction and corresponds to a subset of possible network ties. In this paper, we discuss hypotheses about the form of these neighborhoods, and we present two new and theoretically plausible ways in which neighborhood-based models …
Patterns of knowledge in children's addition
Patterns of conceptual and procedural knowledge of addition were examined in 5- to 8-year-olds (N = 80). Conceptual knowledge was measured by assessing children's responses to problems in which addends were reordered or decomposed and recombined. Problems were presented using abstract symbols, numbers, and physical objects. Children were more successful in noticing that addends had been reordered rather than decomposed and in noticing the decompo…
Youth Culture and Smoking
This article assesses four theoretical models proposed to predict future smoking. Young adults were surveyed at three six-month intervals, the first occurring three months after leaving school. Models 1 and 2 were versions of theory of triadic influence (TTI), which links a person's behavioural experience and cognitions to their future behaviour. Model 1 did not fit the data; the fit of model 2 was just adequate. Model 3 combined TTI and self-cat…
Missing data in networks
Changing places
Small and Other Worlds
Using simulation, we contrast global network structures—in particular, small world properties—with the local patterning that generates the network. We show how to simulate Markov graph distributions based on assumptions about simple local social processes. We examine the resulting global structures against appropriate Bernoulli graph distributions and provide examples of stochastic global “worlds,” including small worlds, long path worlds, and no…
New Specifications for Exponential Random Graph Models
The most promising class of statistical models for expressing structural properties of social networks observed at one moment in time is the class of exponential random graph models (ERGMs), also known as p* models. The strong point of these models is that they can represent a variety of structural tendencies, such as transitivity, that define complicated dependence patterns not easily modeled by more basic probability models. Recently, Markov ch…
An introduction to exponential random graph (p*) models for social networks
Computer Science (38 obras) · Complex Network Analysis Techniques (31 obras) · Mathematics (26 obras) · Opinion Dynamics and Social Influence (21 obras) · Graph (20 obras) · Psychology (18 obras) · Random graph (18 obras) · Theoretical Computer Science (18 obras) · Exponential random graph models (16 obras) · Social Capital and Networks (12 obras)