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Semantic Network Analysis in Social Sciences (Paperback)
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Semantic Network Analysis in Social Sciences (Paperback)
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Semantic Network Analysis in Social Sciences introduces the
fundamentals of semantic network analysis and its applications in
the social sciences. Readers learn how to easily transform any
given text into a visual network of words co-occurring together, a
process that allows mapping the main themes appearing in the text
and revealing its main narratives and biases. Semantic network
analysis is particularly useful today with the increasing volumes
of text-based information available. It is one of the developing,
cutting-edge methods to organize, identify patterns and structures,
and understand the meanings of our information society. The first
chapters in this book offer step-by-step guidelines for conducting
semantic network analysis, including choosing and preparing the
text, selecting desired words, constructing the networks, and
interpreting their meanings. Free software tools and code are also
presented. The rest of the book displays state-of-the-art studies
from around the world that apply this method to explore news,
political speeches, social media content, and even to organize
interview transcripts and literature reviews. Aimed at scholars
with no previous knowledge in the field, this book can be used as a
main or a supplementary textbook for general courses on research
methods or network analysis courses, as well as a starting point to
conduct your own content analysis of large texts.
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