Description
| Product ID: | 9780367636524 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Semantic Network Analysis in Social Sciences |
| Authors: | Author: Elad Segev |
| Page Count: | 232 |
| Subjects: | Research methods: general, Research methods: general, Social research and statistics, Social research & statistics |
| Description: | Select Guide Rating Covering a variety of quantitative and qualitative methods, this book will help students and researchers in the social sciences, political science and communication studies develop their skills in network and text analysis, data science and big data analysis. 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. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2021-11-30 |
