Scott Selisker: Character Networks in Contemporary U.S. Fiction, Gebunden

Klappentext

A defining shift in 21st-century American culture has been the visibility of our social networks. Our vocabulary for understanding politics and culture is now saturated with terms describing patterns of positioning and group dynamics, such as jobseeker networking, reach, going viral, grassroots networks, and partisan bubbles.

Contemporary novelists are astute observers of the "LinkedIn lunatics," "Columbuses," leakers, and others that reflect a shifting landscape of values in the network society. Character Networks in Contemporary U. S. Fictionreads this historical context alongside social network analysis and narrative theory, in order to argue that novelists, too, model complex social networks.

To this end, Scott Selisker develops methods for illustrating and interpreting such "character networks," which comprise character groupings, go-betweens, unlikely encounters, and surprise realignments. Selisker reveals that many concepts in popular criticism, from the Bechdel test to sidekicks of color and manic pixie dream girls, describe characters in terms of their network positioning. Through readings of novels about WikiLeaks, cultural appropriation, and grassroots collectives, this book shows how novelists plot out the limited agency of their characters within carefully orchestrated social spheres. Building on recent work in theories of the novel and narrative, Selisker argues that putatively individual facets of literary character--roundness, privacy, authenticity, and agency--are best understood through the ways they are socially distributed, or networked.

Selisker develops methods for showing how authors model social networks in their fiction as "character networks." Selisker explores how novels are made up of nebulous groups of characters, go-betweens, unlikely encounters, and surprise realignments, and reveals that many concepts in popular criticism--from the Bechdel test to sidekicks of color and manic pixie dream girls--describe characters in terms of their network positioning.