Keir Reeves

Dean Lusher

Sean Gorman

This book is the outcome of an Australian Research Council (ARC)-funded project titled Assessing the Australian Football League’s Racial and Religious Vilification Laws to Promote Community Harmony, Multiculturalism and Reconciliation, which investigated the impact of the Australian Football League’s anti-vilification policy since its introduction in 1995. With key stakeholders the Australian Football League, the AFL Players’ Association and the Office of Multicultural Affairs (previously the Victorian Multicultural Commission), the book gauges the attitudes and perspectives of players and coaches in the AFL regarding Rule 35, the code’s anti-vilification rule. The overarching themes of multiculturalism, reconciliation and social harmony in the AFL workplace have been the guiding ideals that we examined and analysed. The outcomes from the research vectors look at and engage with key issues about race, diversity and difference as it pertains to the elite AFL code, but also looks at the ongoing international conversation as it pertains to these themes in sport. This book was previously published as a special issue of Sport in Society.

Rule 35, Reconciliation and Racial Harmony in Australian Football

Reviewing the AFL’s Vilification Laws

Garry Robins

Johan Koskinen

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal, and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages, and interpret the results.

Theory, Methods, and Applications

Exponential Random Graph Models for Social Networks

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.

Dean Lusher

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