This book uses literature as a wrench to pry open social networks and to ask different questions than have been asked about social networks previously. The book emphasizes the story-telling aspect of social networks, as well as the connection between narrative and social networks by incorporating narrative, dynamic networks, and time. Thus, it constructs a bridge between literature, digital humanities, and social networks. This book is a pioneering work that attempts to express social and philosophic constructs in mathematical terms. The material used to test the algorithms is texts intended for performance, such as plays, film scripts, and radio plays; mathematical representations of the texts, or “literature networks”, are then used to analyze the social networks found in the respective texts. By using literature networks and their accompanying narratives, along with their supporting analyses, this book allows for a novel approach to social network analysis.

Interpreting human stories, whether those told by individuals, groups, organizations, nations, or even civilizations, opens a wide scope of research options for understanding how people construct, shape, and reshape their perceptions, identities, and beliefs. Such narrative research is a rapidly growing field in the social sciences, as well as in the societally oriented humanities, such as cultural studies. This methodologically framed book offers conceptual directions for the study of social narrative, guiding readers through the means of narrative research and raising important ethical and value-related dilemmas. Shenhav details three classic elements of narrative—text, story, and narration—familiar concepts to those in literary studies. To the classic trilolgy of terms, this book also adds multiplicity, a crucial element for applying narrative analysis to the social sciences as it rests on the understanding that social narratives seek reproduction and self-multiplicity in order to become "social" and influential. The aim of this book is to create an easy, clear, and welcoming introduction to narratology as a mode of analysis, especially designed for students of the social sciences to provide the basics of a narratological approach, and to help make research and writing in this tradition more systematic. .

Featuring contributions from leading scholars in the field, The Handbook of Narrative Analysis is the first comprehensive collection of sociolinguistic scholarship on narrative analysis to be published. Organized thematically to provide an accessible guide for how to engage with narrative without prescribing a rigid analytic framework Represents established modes of narrative analysis juxtaposed with innovative new methods for conducting narrative research Includes coverage of the latest advances in narrative analysis, from work on social media to small stories research Introduces and exemplifies a practice-based approach to narrative analysis that separates narrative from text so as to broaden the field beyond the printed page

Offers practical illustrations from different disciplines and perspectives, showing how researchers from various backgrounds deal with narrative data.

"We are invited to think about the now ubiquitous everyday practices of interpreting and producing narratives across a range of modalities. The result is a text that inspires readers to think in new ways about narratives, invites them to analyse narrative texts available on the Web and, for those who wish, suggests how best to employ specialist software." - Ann Phoenix, Institute of Education, University of London "It’s high time we have a book like this. Brian Alleyne has managed to produce the best, clearest, and most comprehensive overview of narrative theory for social scientists I have yet to see. I wish I’d had access to a book like this when I was a student. It would have made my life so much easier. It will surely become the universally recognised go-to book on the subject." - David Graeber, London School of Economics & Political Science Narrative is a fundamental means whereby we make sense of our own lives and of the world around us. The stories we tell, and are being told, shape our identities, relationships and world-views. In a rapidly changing digital society where blogging and social networking have become fundamental communication channels, the platforms for the creation and exchange of all kinds of narratives have greatly expanded. This book responds to the dynamic production and consumption of stories of all kinds in popular and academic cultures. It offers a comprehensive discussion of the underlying philosophical and methodological issues of narrative and personal narrative research as well as applying these to the current digital landscape. The book provides practical guidance on data management and use of software for the narrative researcher. Illustrated with examples from a range of fields and disciplines as well as the author’s own work on hacking cultures and cultural activism, this title is a must for anyone wanting to learn about narrative approaches in social research and how to conduct successful narrative research in a digital age.

With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere.

Theory and case studies demonstrate the analytic potential of mutually constitutive “narrative networks” in environmental governance.

This book interrogates the role of quantification in stories on social media: how do visible numbers (e.g. of views, shares, likes) and invisible algorithmic measurements shape the stories we post and engage with? The links of quantification with stories have not been explored sufficiently in storytelling research or in social media studies, despite the fact that platforms have been integrating sophisticated metrics into developing facilities for sharing stories, with a massive appeal to ordinary users, influencers and businesses alike. With case-studies from Instagram, Reddit and Snapchat, the authors show how three types of metrics, namely content metrics, interface metrics and algorithmic metrics, affect the ways in which cancer patients share their experiences, the circulation of specific stories that mobilize counter-publics and the design of stories as facilities on platforms. The analyses document how numbers structure elements in stories, indicate and produce engagement and become resources for the tellers’ self-presentation. This book will be of interest to students and scholars working in the fields of narrative and social media studies, including narratology, biography studies, digital storytelling, life-writing, narrative psychology, sociological approaches to narrative, discourse and sociolinguistic perspectives.

Investigates how stories are shared in online contexts and provides a method for studying them.

This book investigates how social media are reconfiguring dying, death, and mourning. Taking a narrative approach, it argues that dying, death, and mourning are shared online as small stories of the moment, which are organized around transgressive moments and events with motivational, participatory, or connective scope. Through the different case studies discussed, this book presents an empirical framework for analyzing small stories of dying, death and mourning as practices of sharing which become associated with specific modes of affective positioning, i.e. modulations of different degrees of distance or proximity to the death event and the dead, the networked audience(s), and the affective self. The book calls for the study of affect as integral to narrative activity and opens up broader questions about how stories and emotion are mobilized in digital cultures for accruing audiences, value (social or economic), and visibility. It will be of interest to researchers in narrative analysis, the anthropology and sociology of emotion, digital communication, media and cultural studies, and (digital) death and dying.