Exploratory Social Network Analysis with Pajek

Exploratory Social Network Analysis with Pajek
Author: Wouter de Nooy
Publisher: Cambridge University Press
Total Pages: 362
Release: 2005-01-10
Genre: Mathematics
ISBN: 9780521841733

This is the first textbook on social network analysis integrating theory, applications, and professional software for performing network analysis. The book introduces the main concepts and their applications in social research with exercises. An application section explaining how to perform the network analyses with Pajek software follows each theoretical section.

Generalized Blockmodeling

Generalized Blockmodeling
Author: Patrick Doreian
Publisher: Cambridge University Press
Total Pages: 410
Release: 2005
Genre: Social Science
ISBN: 9780521840859

This book provides an integrated treatment of generalized blockmodeling appropriate for the analysis network structures.

Graph Drawing Software

Graph Drawing Software
Author: Michael Jünger
Publisher: Springer Science & Business Media
Total Pages: 381
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642186386

After an introduction to the subject area and a concise treatment of the technical foundations for the subsequent chapters, this book features 14 chapters on state-of-the-art graph drawing software systems, ranging from general "tool boxes'' to customized software for various applications. These chapters are written by leading experts: they follow a uniform scheme and can be read independently from each other. The text covers many industrial applications.

Social Network Analysis and Education

Social Network Analysis and Education
Author: Brian V. Carolan
Publisher: SAGE Publications
Total Pages: 345
Release: 2013-03-14
Genre: Social Science
ISBN: 1483303519

Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

The SAGE Handbook of Social Network Analysis

The SAGE Handbook of Social Network Analysis
Author: John Scott
Publisher: SAGE Publications
Total Pages: 641
Release: 2011-05-25
Genre: Social Science
ISBN: 1847873952

This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.

Statistical Analysis of Network Data with R

Statistical Analysis of Network Data with R
Author: Eric D. Kolaczyk
Publisher: Springer
Total Pages: 214
Release: 2014-05-22
Genre: Computers
ISBN: 1493909835

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).

A Companion to Byzantine Epistolography

A Companion to Byzantine Epistolography
Author:
Publisher: BRILL
Total Pages: 543
Release: 2020-06-22
Genre: History
ISBN: 900442461X

A Companion to Byzantine Epistolography offers the first comprehensive introduction and scholarly guide to the cultural practice and literary genre of letter-writing in the Byzantine Empire.

Understanding Large Temporal Networks and Spatial Networks

Understanding Large Temporal Networks and Spatial Networks
Author: Vladimir Batagelj
Publisher: John Wiley & Sons
Total Pages: 464
Release: 2014-11-03
Genre: Mathematics
ISBN: 0470714522

This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved. Reviews: "this book is easy to read and entertaining, and much can be learned from it. Even if you know just about everything about large-scale and temporal networks, the book is a worthwhile read; you will learn a lot about SNA literature, patents, the US Supreme Court, and European soccer." (Social Networks) "a clear and accessible textbook, balancing symbolic maths, code, and visual explanations. The authors’ enthusiasm for the subject matter makes it enjoyable to read" (JASSS)

Social Network Analysis for Startups

Social Network Analysis for Startups
Author: Maksim Tsvetovat
Publisher: "O'Reilly Media, Inc."
Total Pages: 191
Release: 2011-10-06
Genre: Business & Economics
ISBN: 1449306462

Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook

Social Network Analysis

Social Network Analysis
Author: Christina Prell
Publisher: SAGE
Total Pages: 274
Release: 2011-10-26
Genre: Social Science
ISBN: 1446290131

We live in a world that is paradoxically both small and vast; each of us is embedded in local communities and yet we are only a few 'links' away from anyone else in the world. This engaging book represents these interdependencies' positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form. This is a book for the social network novice learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field. It is divided into three clear sections: 1. historical & Background Concepts 2. Levels of Analysis 3. Advances, Extensions and Conclusions The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.