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Spatializing Social Media charts the theoretical and methodological
challenges in analyzing and visualizing social media data mapped to
geographic areas. It introduces the reader to concepts, theories,
and methods that sit at the crossroads between spatial and social
network analysis to unpack the conceptual differences between
online and face-to-face social networks and the nonlinear effects
triggered by social activity that overlaps online and offline. The
book is divided into four sections, with the first accounting for
the differences between space (the geometrical arrangements that
structure and enable forms of interaction) and place (the
mechanisms through which social meanings are attached to physical
locations). The second section covers the rationale of social
network analysis and the ontological differences, stating that
relationships, more than individual and independent attributes, are
key to understanding of social behavior. The third section covers a
range of case studies that successfully mapped social media
activity to geographically situated areas and considers the
inflection of homophilous dependencies across online and offline
social networks. The fourth and last section of the book explores a
range of networks and discusses methods for and approaches to
plotting a social network graph onto a map, including the
purpose-built R package Spatial Social Media. The book takes a
non-mathematical approach to social networks and spatial statistics
suitable for postgraduate students in sociology, psychology and the
social sciences.
Spatializing Social Media charts the theoretical and methodological
challenges in analyzing and visualizing social media data mapped to
geographic areas. It introduces the reader to concepts, theories,
and methods that sit at the crossroads between spatial and social
network analysis to unpack the conceptual differences between
online and face-to-face social networks and the nonlinear effects
triggered by social activity that overlaps online and offline. The
book is divided into four sections, with the first accounting for
the differences between space (the geometrical arrangements that
structure and enable forms of interaction) and place (the
mechanisms through which social meanings are attached to physical
locations). The second section covers the rationale of social
network analysis and the ontological differences, stating that
relationships, more than individual and independent attributes, are
key to understanding of social behavior. The third section covers a
range of case studies that successfully mapped social media
activity to geographically situated areas and considers the
inflection of homophilous dependencies across online and offline
social networks. The fourth and last section of the book explores a
range of networks and discusses methods for and approaches to
plotting a social network graph onto a map, including the
purpose-built R package Spatial Social Media. The book takes a
non-mathematical approach to social networks and spatial statistics
suitable for postgraduate students in sociology, psychology and the
social sciences.
This book addresses the question of how researchers can conduct
independent, ethical research on mal-, mis- and disinformation in a
rapidly changing and hostile data environment. The escalating issue
of data access is thrown into sharp relief by the large-scale use
of bots, trolls, fake news, and strategies of false amplification,
the effects of which are difficult to quantify due to a corporate
environment favouring platform lockdowns and the restriction of
access to Application Programming Interfaces (APIs). As social
media platforms increase obstacles to independent scholarship by
dramatically curbing access to APIs, researchers are faced with the
stark choice of either limiting their use of trace data or
developing new methods of data collection. Without a breakthrough,
social media research may go the way of search engine research, in
which only a small group of researchers who have direct
relationships with search companies such as Google and Microsoft
can access data and conduct research. The chapters in this book
were originally published as a special issue of the journal,
Information, Communication & Society.
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R209
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Discovery Miles 1 490
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