Semantic Network Analysis in Social Sciences  book cover
1st Edition

Semantic Network Analysis in Social Sciences

Edited By

Elad Segev

ISBN 9780367636524
Published November 30, 2021 by Routledge
248 Pages 36 B/W Illustrations

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Book Description

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.

Table of Contents

1. How to Conduct Semantic Network Analysis

Elad Segev

2. The News Coverage of Threats: Iranian Nuclear Programs in Israeli Press

Noa A. Hatzir, Elad Segev, Kohei Watanabe and Atsushi Tago

3. Provocation Narratives in Chinese and US Newspapers

Yuan Zhou, Sandrine Boudana and Elad Segev

4. Cable News Channels’ Partisan Ideology and Market Share Growth as Predictors of Social Distancing Sentiment during the COVID-19 Pandemic

James A. Danowski, Bei Yan and Ken Riopelle

5. Politicizing the Holocaust: A Comparative Analysis of Israeli and German Speeches

Maya Hadar, Regula Miesch and Elad Segev

6. Network of Ceavages? British Paradiplomacy in the (digital) International Discourse around Brexit

Jérôme Chariatte and Diana Ingenhoff

7. Sexual Assaults Blindsided by Politics on Twitter: Semantic Network Analysis of Symbolic #MeToo Cases in Japan and South Korea

Saki Mizoroki and Bumsoo Kim

8. Time to be Happy? WhatsApp and Phatic Communication within the Extended Family

Noa A. Hatzir

9. School Improvement: Semantic Network Analysis of the Literature

Audrey Addi-Raccah, Tali Shahrabani and Elad Segev

10. Identifying Patterns in Communication Science: Mapping Knowledge Structures using Semantic Network Analysis of Keywords

Nico Pfiffner

11. Summary and Concwlusion

Elad Segev

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Elad Segev (PhD, Keele University) is Associate Professor at the Department of Communication, Tel Aviv University. He studies the relationship between information and power, focusing on global information flows, country image, international news, information search, and the digital divide. In his studies he employs text and network analysis techniques.