New book: "Analysis and Visualization of Citation Networks"

Andreas Strotmann andreas.strotmann at GMAIL.COM
Sun Mar 15 15:26:14 EDT 2015

Series:Analysis and Visualization of Citation Networks
*(Gary Marchionini (ed.): Synthesis Lectures on Information Concepts,
Retrieval, and Services)*Authors:Dangzhi Zhao, Andreas
& Claypool Publishers, 2015ISBN
DOI160845939X, 9781608459391

Available at:   or
(e.g.) from as print copy or (e.g.) from Google Books as an


Citation analysis—the exploration of reference patterns in the scholarly
and scientific literature—has long been applied in a number of social
sciences to study research impact, knowledge flows, and knowledge networks.
It has important information science applications as well, particularly in
knowledge representation and in information retrieval. Recent years have
seen a burgeoning interest in citation analysis to help address research,
management, or information service issues such as university rankings,
research evaluation, or knowledge domain visualization. This renewed and
growing interest stems from significant improvements in the availability
and accessibility of digital bibliographic data (both citation and full
text) and of relevant computer technologies. The former provides large
amounts of data and the latter the necessary tools for researchers to
conduct new types of large-scale citation analysis, even without special
access to special data collections. Exciting new developments are emerging
this way in many aspects of citation analysis.

This book critically examines both theory and practical techniques of
citation network analysis and visualization, one of the two main types of
citation analysis (the other being evaluative citation analysis). To set
the context for its main theme, the book begins with a discussion of the
foundations of citation analysis in general, including an overview of what
can and what cannot be done with citation analysis (Chapter 1). An in-depth
examination of the generally accepted steps and procedures for citation
network analysis follows, including the concepts and techniques that are
associated with each step (Chapter 2). Individual issues that are
particularly important in citation network analysis are then scrutinized,
namely: field delineation and data sources for citation analysis (Chapter
3); disambiguation of names and references (Chapter 4); and visualization
of citation networks (Chapter 5).

Sufficient technical detail is provided in each chapter so the book can
serve as a practical how-to guide to conducting citation network analysis
and visualization studies. While the discussion of most of the topics in
this book applies to all types of citation analysis, the structure of the
text and the details of procedures, examples, and tools covered here are
geared to citation network analysis rather than evaluative citation
analysis. This conscious choice was based on the authors’ observation that,
compared to evaluative citation analysis, citation network analysis has not
been covered nearly as well by dedicated books, despite the fact that it
has not been subject to nearly as much severe criticism and has been
substantially enriched in recent years with new theory and techniques from
research areas such as network science, social network analysis, or
information visualization.
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