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To return to the INSNA home pagePatrick Doreian, Vladimir Batagelj, Anuska Ferligoj. 2005. Generalized
Blockmodeling.
This book provides an integrated treatment of blockmodeling, the most frequently
used technique in social network analysis. It secures its mathematical foundations
and then generalizes blockmodeling for the analysis of many types of network
structures. Examples are used throughout the text and include small group structures,
little league baseball teams, intra-organizational networks, inter-organizational
networks, baboon grooming networks, marriage ties of noble families, trust networks,
signed networks, Supreme Court decisions, journal citation networks, and alliance
networks. Also provided is an integrated treatment of algebraic and graph theoretic
concepts for network analysis and a broad introduction to cluster analysis.
These formal ideas are the foundations for the authors' proposal for direct
optimizational approaches to blockmodeling which yield blockmodels that best
fit the data, a measure of fit that is integral to the establishment of blockmodels,
and creates the potential for many generalizations and a deductive use of blockmodeling.
Peter Carrington, John Scott, Stanley Wasserman (Eds.) 2005. Models
and Methods in Social Network Analysis (Structural Analysis in the Social Sciences).
This volume is an important complement to Wasserman and Faust's Social Network
Analysis: Methods and Applications (Cambridge, 1995). The authors, leading methodologists,
present the most significant developments in quantitative models and methods
for analyzing social network data that appeared in the 1990s. They review recent
advances in network measurement, network sampling, analysis of centrality, positional
analysis or blockmodelling, analysis of diffusion through networks, analysis
of affiliation or "two-mode" networks, the theory of random graphs,
and dependence graphs.
Wouter de Nooy, Andrej Mrvar, Vladimir Batagelj. 2005. Exploratory
Social Network Analysis with Pajek (Structural Analysis in the Social Sciences).
This is the first textbook on social network analysis integrating theory, applications,
and professional software for performing network analysis (Pajek). Pajek software
and datasets for all examples are freely available, so the reader can learn
network analysis by doing it. In addition, each chapter offers case studies
for practicing network analysis. The book will enable the reader to gain the
knowledge, skills, and tools to apply social network analysis in all social
sciences, ranging from anthropology and sociology to business administration
and history.
Ulrik Brandes, Thomas Erlebach. 2005. Network
Analysis: Methodological Foundations.
The outcome of a seminar organized by the editors, sponsored by the Gesellschaft
f¨ur Informatik e.V. (GI) and held in Dagstuhl, 13–16 April 2004. The
intended audience consists of everyone interested in formal aspects of network
analysis, though a background in computer science on, roughly, the undergraduate
level is assumed. No prior knowledge about network analysis is required. Ideally,
this book will be used as an introduction to the field, a reference and a basis
for graduate-level courses in applied graph theory. Table of Contents: 1 Introduction;
2 Fundamentals; Part I: Element-Level Analysis: 3 Centrality Indices; 4 Algorithms
for Centrality Indices; 5 Advanced Centrality Concepts; Part II: Group-Level
Analysis: 6 Local Density; 7 Connectivity; 8 Clustering; 9 Role Assignments;
10 Blockmodels; Part III: Network-Level Analysis: 11 Network Statistics; 12
Network Comparison; 13 Network Models; 14 Spectral Analysis; 15 Robustness and
Resilience
Linton C. Freeman. 2004. The
Development of Social Network Analysis: A Study in the Sociology of Science.
Empirical Press.
Ideas about social structure and social networks are very old. People have always
believed that biological and social links among individuals are important. But
it wasn’t until the early 1930s that systematic research that explored
the patterning of social ties linking individuals emerged. And it emerged, not
once, but several times in several different social science fields and in several
places. This book reviews these developments and explores the social processes
that wove all these “schools” of network analysis together into a
single coherent approach.
Rob Cross and Andrew Parker. 2004. The
Hidden Power of Social Networks: Understanding How Work Really Gets Done in
Organizations.
"This is the first accessible introduction to social network analysis and
its potential applications for practitioners and consultants. Cross and Parker
draw on their extensive consulting based research to provide the readers with
practical examples and cases. Rather than staying on the level of The Tipping
Point and Linked, they actually go into providing sociograms and explaining
the steps used in their analysis. The work also comprises an interesting Appendix
with tools. I recommend it to consultants and executives that are looking to
apply social network analysis as an additional tool for OD purposes." (A
reader from McGill University, Montreal, Canada).
S.N. Dorogovtsev and J.F.F. Mendes. 2004. Evolution
of Networks: From Biological Nets to the Internet and WWW.
"Only recently did mankind realise that it resides in a world of networks.
The Internet and World Wide Web are changing our life. Our physical existence
is based on various biological networks. The term "network" turns
out to be a central notion in our time, and the consequent explosion of interest
in networks is a social and cultural phenomenon. The principles of the complex
organization and evolution of networks, natural and artificial, are the topic
of this book, which is written by physicists and is addressed to all involved
researchers and students. The aim of the text is to understand networks. The
ideas are presented in a clear and a pedagogical way, with minimal mathematics,
so even students without a deep knowledge of mathematics and statistical physics
will be able to rely on this as a reference. Special attention is given to real
networks, both natural and artificial. Collected empirical data and numerous
real applications of existing theories are discussed in detail, as well as the
topical problems of communication networks.
Steven Strogatz. 2003. Sync:
The Emerging Science of Spontaneous Order.
The moon spins in perfect resonance with its orbit around the Earth; millions
of neurons fire together to control our breathing; every night along the tidal
rivers of Malaysia, thousands of fireflies flash in silent, hypnotic unison.
All of these astonishing feats of synchrony occur spontaneously -- as if the
universe had an overwhelming desire for order. The tendency to synchronize may
be the most mysterious and pervasive drive in all of nature. It has intrigued
some of the greatest minds of the twentieth century, including Albert Einstein,
Richard Feynman, Norbert Wiener, Brian Josephson, and Arthur Winfree. But only
in the past decade have scientists from disparate disciplines come to the stunning
realization that the study of synchrony could revolutionize our understanding
of everything from the origin of life to certain types of human behavior. At
once elegant and riveting, SYNC tells the story of the dawn of a new science.
As one of its pioneers, Steven Strogatz, a leading mathematician in the fields
of chaos and complexity theory, explains how enormous systems can synchronize
themselves, from the electrons in a superconductor to the pacemaker cells in
our hearts. He shows that although these phenomena might seem unrelated on the
surface, at a deeper level there is a connection, forged by the unifying power
of mathematics.
Duncan J. Watts. 2003. Six
Degrees: The Science of a Connected Age.
The pioneering young scientist whose work on the structure of small worlds has
triggered an avalanche of interest in networks. In this remarkable book, Duncan
Watts, one of the principal architects of network theory, sets out to explain
the innovative research that he and other scientists are spearheading to create
a blueprint of our connected planet. Whether they bind computers, economies,
or terrorist organizations, networks are everywhere in the real world, yet only
recently have scientists attempted to explain their mysterious workings. From
epidemics of disease to outbreaks of market madness, from people searching for
information to firms surviving crisis and change, from the structure of personal
relationships to the technological and social choices of entire societies, Watts
weaves together a network of discoveries across an array of disciplines to tell
the story of an explosive new field of knowledge, the people who are building
it, and his own peculiar path in forging this new science.
Duncan J. Watts. 2003. Small
Worlds : The Dynamics of Networks between Order and Randomness (Princeton Studies
in Complexity).
Everyone knows the small-world phenomenon: soon after meeting a stranger, we
are surprised to discover that we have a mutual friend, or we are connected
through a short chain of acquaintances. In his book, Duncan Watts uses this
intriguing phenomenon--colloquially called "six degrees of separation"--as
a prelude to a more general exploration: under what conditions can a small world
arise in any kind of network? The networks of this story are everywhere: the
brain is a network of neurons; organisations are people networks; the global
economy is a network of national economies, which are networks of markets, which
are in turn networks of interacting producers and consumers. Food webs, ecosystems,
and the Internet can all be represented as networks, as can strategies for solving
a problem, topics in a conversation, and even words in a language. Many of these
networks, the author claims, will turn out to be small worlds.
Albert-Laszlo Barabasi. 2003. Linked:
How Everything Is Connected to Everything Else and What It Means.
A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate.
All are networks, and all are a part of a surprising scientific revolution.
Albert-Laszlo Barabasi, the nation's foremost expert in the new science of networks,
takes us on an intellectual adventure to prove that social networks, corporations,
and living organisms are more similar than previously thought. Grasping a full
understanding of network science will someday allow us to design blue-chip businesses,
stop the outbreak of deadly diseases, and influence the exchange of ideas and
information. Just as James Gleick brought the discovery of chaos theory to the
general public, Linked tells the story of the true science of the future.
Peter R. Monge, Noshir S. Contractor. 2003. Theories
of Communication Networks.
The authors develop a multitheoretical model that relates different social science
theories with different network properties. This model is multilevel, providing
a network decomposition that applies the various social theories to all network
levels: individuals, dyads, triples, groups, and the entire network. The book
then establishes a model from the perspective of complex adaptive systems and
demonstrates how to use Blanche, an agent-based network computer simulation
environment, to generate and test network theories and hypotheses. It presents
recent developments in network statistical anlysis, the p* family, which provides
a basis for valid multilevel statistical inferences regarding networks. Finally,
it shows how to relate communication networks to other networks, thus providing
the basis in conjunction with computer simulations to study the emergence of
dynamic organizational networks.
Mario Diani and Doug McAdam. 2003. Social
Movements and Networks: Relational Approaches to Collective Action.
For the first time in a single volume, leading social movement researchers map
the full range of applications of network concepts and tools to their field
of inquiry. They illustrate how networks affect individual contributions to
collective action in both democratic and non-democratic organizations; how patterns
of inter-organizational linkages affect the circulation of resources both within
movement milieus and between movement organizations and the political system;
how network concepts and techniques may improve our grasp of the relationship
between movements and elites, of the configuration of alliance and conflict
structures, of the clustering of episodes of contention in protest cycles.Social
Movements and Networks casts new light on our understanding of social movements
and cognate social and political processes.
Martin Kilduff andWenpin Tsai. 2003. Social
Networks and Organizations.
SAGE Publications.
"Many books have been written about social networks. But few review the
research on social networks in organizations.This book by Kilduff and Tsai is
one that reviews a vasy body of literature about social networks in organization.
Further, readers are gently exposed to key network concepts. Students who would
like to learn the mechanics of network analysis and its usage in theory testing
can refer to the appendices. For established researchers seeking potential new
research questions, this book provides a wealth of interesting research questions.
Most books on social networks are techical, hard to grasp and do not establish
the relevance of social networks to organizational research. This book is an
exception." (a reader)
Zhiang (John) Lin and Kathleen M. Carley. 2003.
Designing Stress Resistant Organizations: Computational Theorizing and Crisis
Applications. Kluwer Academic Publishers, Boston.
"... The book combines both reporting on the research and how to do it
that will appeal to a broad range of individuals. We would anticipate that academic
researchers and graduate students will find the book useful and they, in turn,
will then add to the growing area of computational organizational theory."
Stefan Bornholdt and Heinz Georg Schuster (eds.). 2003. Handbook
of Graphs and Networks: From the Genome to the Internet.
Wiley-VCH Verlag GmbH & Co. KGaA
Defining the field of complex interacting networks in its infancy, this book
presents the dynamics of networks and their structure as a key concept across
several disciplines. The contributions present common underlying principles
of network dynamics and their theoretical descriptions, and are thus of interest
to specialists as well as to non-specialized readers looking for an introduction
to this new and exciting field.
Mark Buchanan. 2002. Nexus:
Small Worlds and the Groundbreaking Science of Networks.
As Chaos explained the science of disorder, Nexus reveals the new science of
connection and the odd logic of six degrees of separation. How can geometry
explain the puzzles of human behavior? In this incisive, insightful work Mark
Buchanan presents the fundamental principles of the emerging field of "small
worlds" theory—the idea that a hidden pattern is the key to how networks
interact and exchange information, whether that network is the information highway
or the firing of neurons in the brain. Mathematicians, physicists, computer
scientists, and social scientists are working to decipher this complex organizational
system, for it may yield a blueprint of dynamic interactions within our physical
as well as social worlds. Highlighting groundbreaking research behind network
theory, Buchanan documents mounting support for the small-worlds idea and demonstrates
its multiple applications to diverse problems—whether explaining the volatile
global economy or the Human Genome Project, the spread of infectious disease
or ecological damage. Nexus is an exciting introduction to the hidden geometry
that weaves our lives so inextricably together.
Volker G. Täube. 2002. Zur
Messung des Sozialkapitals von Akteuren mit Einfluss in empirischen Netzwerken.
Bern / Frankfurt a.M.: Peter Lang.
Within the last couple of years the notion of social capital has gained increasingly
attention amongst social scientists. Although there has been a large recognition
of the concept it still suffers from a more systematic elaboration of the basic
properties as well as from missing empirically applicable measurement concepts.
This is the focal point of the book. After having discussed various traditions
of theoretical reasoning with regard to the analysis of social structures, the
most common concepts of capital (i.e. physical capital, human capital, cultural
capital) are compared with regard to the central connecting and diverging aspects.
Furthermore, a measurement conceptualization of the social capital of broker
roles based on role equivalence will be introduced and an application to empirical
data be presented.
Thomas W. Valente. 2002. Evaluating
Health Promotion Programs. Oxford University Press.
This is a comprehensive guide to the framework, theories, and techniques used
to evaluate health promotion programs. It covers every aspect of the activities
involved in conducting an evaluation, including formative, process, and summative
research. Particular attention is paid to data collection, management, analysis,
and the interpretation of findings.
Wayne Baker. 2000. Achieving Success Through Social Capital:
Tapping the Hidden Resources in Your Personal and Business Networks.
Jossey-Bass.
Why do some people prosper while others struggle? The difference is more than
what they know. It's also who they know. Successful people know how to improve
their wealth, health, and happiness by creating rich social capital, tapping
the hidden resources in their business, professional, and personal networks.
Achieving Success Through Social Capital is your hands-on guide to success through
building and using your social capital. You'll learn why rich social capital
produces higher pay, faster promotions, better jobs, breakthrough ideas, new
business opportunities, and profitable companies. Rich social capital can even
make you luckier. You'll also learn why good networks are essential for your
health and emotional well-being, and for a meaningful life even a longer life.
With his 1994 business bestseller Networking Smart, Wayne Baker established
himself as a leader in the social capital field. In this new book, he incorporates
the latest findings about social capital into an empowering, practical, step-by-step
program. He shows you how to move beyond the myth of individualism to the recognition
that we are all connected and that connections are the keys to success. He guides
you through the process of evaluating the quality of your current networks,
improving your networks by applying dozens of proven practices, and using your
social capital to invoke the power of reciprocity, helping yourself by contributing
to others.
John P Scott. 2000. Social
Network Analysis: A Handbook. SAGE Publications; 2nd edition.
The revised and updated edition of this bestselling text provides an accessible
introduction to the theory and practice of network analysis in the social sciences.
It gives a clear and authoritative guide to the general framework of network
analysis, explaining the basic concepts, technical measures and reviewing the
available computer programs. The book outlines both the theoretical basis of
network analysis and the key techniques for using it as a research tool. Building
upon definitions of points, lines and paths, John Scott demonstrates their use
in clarifying such measures as density, fragmentation and centralization. He
identifies the various cliques, components and circles into which networks are
formed, and outlines an approach to the study of socially structured positions.
He also discusses the use of multidimensional methods for investigating social
networks.
Markku Lonkila. 1999. Social
Networks in Post-Soviet Russia. Continuity and Change in the Everyday Life of
St. Petersburg Teachers. Kikimora Publications, Helsinki.
The origins of this book lie in a comparative project 'Liens, réseaux,
sociétes' (relations, networks, societies) originated and coordinated
by Dr. Maurizio Gribaudi in 1992 at the Ecole des Hautes Etudes en Sciences
Sociales, Paris. In this experimental project, which brought together researchers
from several European countries, data on personal networks were collected during
1993 in various European cities, among them Paris, Madrid, Helsinki, Turin,
Athens, Cagliari and Naples. The research project 'Social Networks and the Special
Characteristics of Finnish Culture' led by professor Risto Alapuro at the University
of Helsinki, was responsible for the collection of the Finnish network data.
At the time of launching the international project, the Soviet Union had already
ceased to exist and the events in post-Soviet Russia were observed in Finland
with astonishment and curiosity. It was only natural to decide to include St.
Petersburg in our international sample of European cities. After three years,
we were fortunate enough to be able to replicate the study in St. Petersburg
under the aegis of the research project 'Cultural Inertia and Social Change
in Russia'. The richness and variety of the Russian data gradually caught my
attention and finally gave birth to this collection of articles.
Barry Wellman. 1999.
Networks in the Global Village.
This book examines how people live through personal communities: their networks
of kin, friends, neighbors, and coworkers. It is the first book to compare the
communities of people around the world. Major social differences between and
within the First, Second, and Third Worlds affect the opportunities and insecurities
with which individuals and households must deal, the supportive resources they
seek, and the ways in which markets, institutions, and networks structure access
to these resources.
Alain Degenne, Michel Forse. 1999. Introducing
Social Networks (Introducing Statistical Methods series).
This introduction to the study of social networks combines a hands-on manual
with an up-to-date review of the latest research and techniques. The authors
provide a thorough grounding in the application of the methods of social network
analysis. They offer an understanding of the theory of social structures in
which social network analysis is grounded, a summary of the concepts needed
for dealing with more advanced techniques, and guides for using the primary
computer software packages for social network analysis.
Degenne, A. and M. Forsé, 1994, Les Réseaux Sociaux. Paris: Armand Colin.
Hiramatsu, H. et al., 1990, Shakai Nettowaku. Tokyo: Fukumura.
Johanson, J., Mattila, M. and Uusikyl, P. 1995, Johdatus Verkostoanalyysiin. Helsinki: Kuluttajatutkimuskeskus.
Lomi, A., 1991, Reti organizzative. Bologna: Il Mulino.
Schweizer, T. 1996, Muster Sozialer Ordnung: Netzwerkanalyse als Fundament der Sozialethnologie. Berlin: Reimer.
Scott, J., 1992, Social Network Analysis. Newbury Park CA: Sage.
Wasserman, S. and K. Faust, 1994, Social Network Analysis. Cambridge: Cambridge University Press.
Wellman, Barry and S.D. Berkowitz, 1997. Social Structures: A Network Approach.(updated edition) Greenwich, CT: JAI Press.
Breiger, R. L., 1991, Explorations in Structural Analysis: Dual and Multiple Networks of Social Structure. New York: Garland Press.
Pattison, P. E., 1993, Algebraic Models for Social Networks. Cambridge: Cambridge University Press.
Lomi, A. (ed), 1997, Lo studio relazionale dell'organizzazione. Bologna: Il Mulino.
Nohria, N. and R. Eccles, 1992, Networks and Organizations: Structure, Form, and Action Boston MA: Harvard Business School Press.
Jansen, Dorothea, and Klaus Schubert (eds.), 1995, Netzwerke und Politikproduction Marburg:Schueren.
- - - - updated January 16, 2006 wdr - - - -
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