1.

Record Nr.

UNISA996571844103316

Autore

Baym Nancy K.

Titolo

Playing to the Crowd : Musicians, Audiences, and the Intimate Work of Connection / / Nancy K. Baym

Pubbl/distr/stampa

New York : , : New York University Press, , [2018]

Baltimore, Md. : , : Project MUSE, , 2021

©[2018]

ISBN

1-4798-1535-7

Descrizione fisica

1 online resource (219 pages)

Collana

Postmillennial pop

Disciplina

781.64

Soggetti

Popular music - Social aspects

Popular music fans

Music - Performance - Psychological aspects

MUSIC - Instruction & Study - Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Previously issued in print: 2018.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cover; Title page; Copyright page; Contents; List of figures; Introduction : the intimate work of connection; Part I. Music; 1. Music as communication; 2. Music as commodity; Part II. Participation; 3. Audiences; 4. Participatory boundaries; Part III. Relationships; 5. Platforms; 6. Relational boundaries; Conclusion : staying human; Acknowledgments; Appendix 1: Musicians interviewed; Appendix 2: Social media presence as of January 2017; Notes; References; Index; About the author

Sommario/riassunto

"Playing to the Crowd explores and explains how the rise of digital communication platforms has transformed artist-fan relationships into something more intimate. Through in-depth interviews with musicians such as the Cure, UB40, and Throwing Muses, Nancy K. Baym reveals how new media has facilitated connections through the active participation of both the artists and their devoted digital fan base. Before the rise of online sharing and user-generated content, audiences were mostly seen as undifferentiated masses, often mediated through record labels and the press. Today, musicians and fans have built more active relationships through social media, fan sites, and



artist sites, giving them a new sense of intimacy, while offering artists unparalleled access to and information about their audiences. But this comes at a price. For audiences, meeting their heroes can kill the mystique. And for artists, maintaining active relationships with so many people can be labor intensive and emotionally draining. Drawing on her own rich history as a deeply connected music fan, Baym offers an entirely new approach to media culture, arguing that the work musicians put into maintaining these intimate relationships reflects the demands of the gig economy, one which requires resources and strategies that we all music come to recognize"--Publisher's description.

2.

Record Nr.

UNINA9910822206003321

Autore

Grimm Volker <1958->

Titolo

Individual-based modeling and ecology / / Volker Grimm, Steven F. Railsback

Pubbl/distr/stampa

Princeton : , : Princeton University Press, , [2005]

©2005

ISBN

0-691-09665-1

1-4008-5062-2

Edizione

[Course Book]

Descrizione fisica

1 online resource (445 p.)

Collana

Princeton Series in Theoretical and Computational Biology ; ; 8

Princeton series in theoretical and computational biology

Classificazione

WC 7000

Altri autori (Persone)

RailsbackSteven F

Disciplina

577/.01/5118

Soggetti

Population biology - Mathematical models

Biotic communities - Mathematical models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (pages [395]-420) and index.

Nota di contenuto

Introduction -- A primer to modeling -- Pattern-oriented modeling -- Theory in individual-based ecology -- A conceptual framework for designing individual-based models -- Examples -- Formulating individual-based models -- Software for individual-based models -- Analyzing individual-based models -- Communicating individual-based models and research -- Using analytical models in individual-



based ecology.

Sommario/riassunto

Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.