Showing posts with label network analysis. Show all posts
Showing posts with label network analysis. Show all posts

Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance) Review

Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance)
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Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Finance) ReviewThis book is a welcome fix to a gap in the complex network literature. It is sufficently detailed to enable the
reader to enter into research in the field, but does not assume any technical background knowledge. It is divided into two parts: the first gives an overview of the theory of complex networks; the second, a collection of applications from different areas of academia.
The author is a leading researcher in the field, and because of this many of the applications are the subject of current research. The book does not attempt to be exhaustive, which is one of its strengths: it is a highly readable and fascinating survey of the more exciting aspects of complex networks. The book will likely be taken up as one of the standard undergraduate textbooks in the field.
Finally, I note that Caldarelli makes use of an amusing literary device: the first sentence of each chapter is an adaptation of a first sentence from a famous book. While this will provide mirth for most readers, it seems to have confounded one reviewer.
For example:
Foundation by Isaac Asimov: His name was Gaal Dornick and he was just a country boy who had never seen Trantor before.
Caldarelli: His name was Leonard Euler and he was just a country boy who had never seen Königsberg before.
Adventures of Huckleberry Finn by Mark Twain: You don't know about me without you have read a book by the name of The Adventures of Tom Sawyer; but that ain't no matter.
Caldarelli: You don't know about graphs without you have read the previous chapter; but that ain't no matter.
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Handbook of Graphs and Networks: From the Genome to the Internet Review

Handbook of Graphs and Networks: From the Genome to the Internet
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Handbook of Graphs and Networks: From the Genome to the Internet ReviewThe attraction of this book is the chance of serendipity. The sheer joy and possibility of thumbing through it and stumbling across something germane to your research, but totally unforeseen by you or others.
The book sits astride several disciplines. Mostly biology. But also computer networks, of which, of course, the Internet is the primary and largest example. But the book also covers some portions of sociology. The classic six degrees of separation between any two people in the world. Actually this is more a metaphor than the literal truth. But still useful in understanding human networks.
If you are currently working with some type of network, your expertise in it, while being a strength, may also be a weakness if it makes you unaware of qualitatively different networks that yet have some commonality with yours.Handbook of Graphs and Networks: From the Genome to the Internet Overview

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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Review

Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)
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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) ReviewI was looking for a more formal and thorough review of statistical network analysis, and this was the best book I found on the subject. Most other books are really introductions to the study of complex networks, this is the first one I found which goes deeper into the advanced statistical analysis of network data. I recommend it.Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) Overview

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The Structure and Dynamics of Networks: (Princeton Studies in Complexity) Review

The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
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The Structure and Dynamics of Networks: (Princeton Studies in Complexity) ReviewCriticism of this book thus far stems from the following:
1) It is a collection of papers.
2) Some of those papers are fairly technical and may be a little daunting for beginners.
While both of these criticisms are accurate, they don't stop the book from being an excellent resource.
While it is a collection of papers, it is a very well-chosen one which includes some of the most important and influential papers in the field, and covers a wide array of subjects within it. Furthermore, each section has an intro written by the authors, which summarizes the works in the section in a fairly nontechnical manner.
This book saved me from days of basic research and frustration in trying to locate full-text articles, and when I was done with it I felt that I had a fairly good working knowledge of the field. I imagine it will be fairly handy for future reference as well.
As for (2), this book was my introduction to network analysis, and while I admit I was unable to read every paper, I was able to understand the main point of almost all of them. Caveat: I am a mathematician. However, as I said, I was previously unfamiliar to the field--and my background gave me little advantage considering I didn't care to go through the equations in detail.
I would recommend this book to anyone with a mildly technical background (say, a few years of university-level science, engineering, or math under their belt) interested in learning about network theory.The Structure and Dynamics of Networks: (Princeton Studies in Complexity) Overview

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Social Networks and Organizations Review

Social Networks and Organizations
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Social Networks and Organizations ReviewMany 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.Social Networks and Organizations Overview

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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) Review

Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)
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Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) ReviewThis book comes so highly recommended because it lowers all the barriers for the student. The text is easily absorbed, the software is free, and the datasets are there. Many guides on Social Network Analysis (SNA) seem like they are written for someone who already knows how to do SNA. The original Pajek manual is one example (Pajek is pronounced pai-yak). This book is like the missing manual. It guides the novice carefully through the analysis process. The free software, Pajek, is one of the best Social Network programs currently. Although Pajek was initially just for visualizations of large networks, and it still only has a subset of the UCInet functions, the algorithms are fast and plentiful. The book and software should keep a student busy until they add more programmatic SNA tools to their toolkit (e.g. R-project sna).Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) Overview

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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) Review

Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences)
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Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) ReviewI am a research consultant specializing in SNA. This book is the best in the field, as a reference for those formally trained in the discipline or a self-instruction manual for those who really want to use SNA methodology. It's well written; but the mathematical and combinatric underpinnings of SNA won't make for light reading. This books stands out among others in that each subject area is thoroughly documented and cited for further reading and examples of application, and that the base algorithms are provided for most SNA techniques - useful if you want to learn how to "do" instead of just run a software package, or want to program your own. No SNA analyst should neglect this reference.Social Network Analysis: Methods and Applications (Structural Analysis in the Social Sciences) Overview

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Social Network Data Analytics Review

Social Network Data Analytics
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Social Network Data Analytics ReviewThis is a very interesting book for both researchers and practitioners in computer science who work in the area of data mining and want to learn the state-of-the-art in social network data analytics. The book provides good coverage of the subject area by focusing on popular research topics, such as the study of the statistical properties that are apparent in "typical" social networks, the problems of community detection and social influence analysis, the expert-location discovery problem, the privacy issues that arise in the context of social networks, as well as visualization techniques, text mining techniques and social tagging. The emerging area of integrating sensors and social networks is also examined. Each chapter of the book contains numerous bibliographic references that will guide readers who are interested in particular topics to explore these topics in more depth. Overall, I highly recommend this book!Social Network Data Analytics Overview

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Social Networks and Health: Models, Methods, and Applications Review

Social Networks and Health: Models, Methods, and Applications
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Social Networks and Health: Models, Methods, and Applications Reviewi have read a lot of network books. there are always some books which are too math centric and some too superficial. This book presents math concepts in a very clear manner and does not lose out on any rigor. highly recommend it!Social Networks and Health: Models, Methods, and Applications Overview

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The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations Review

The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations
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The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations ReviewThe Hidden Power of Social Networks provides the most complete treatment of the subject of applying the understanding of social networks to organizations as you will find. It includes the insights from the many, many cases that the authors facilitated and it provides insight into the methodology itself. As such, it is a good book for both executives who have had inklings that there is something useful for them in all this "social network" hype, and for HR/organizational development specialists and consultants who want to understand the nuts and bolts of the method.
In recent years we saw (and I read) half a dozen books on the emerging science of networks (Linked, Six Degrees of Separation; from the management consulting Nexus, Living Networks); the language of The Tipping Point tipped into the vernacular; and social networking sites (LinkedIn™, tribe.net, Spoke, VisualPath) climbed the "hype cycle" by promising value in gaining access to powerful people just three degrees away. The jury is still out on the latter, but the genie is out of the bottle: organizations and individuals are making the shift to an understanding that social networks shape our lives and our work, and that we can learn how to identify, assess, and manage these networks.
This book is the first fully practical, actionable work on social network analysis in organizations. Cross and Parker are among a handful of professionals who have worked deeply in organizations to analyze existing social networks, position these networks within the context of the strategy, culture, and promise of organizations and recommend specific, positive steps that can alter the dynamics of the networks that exist.
For example, one of the themes explored is that of central connectors: people who, by virtue of their relationships with people in different organizations serve as boundary spanners (moving information and context from one group to another) or bottlenecks (impeding the flow of information and context). The authors develop the reader's understanding of this phenomenon by presenting the concepts of social network mapping, how the analysis of a network reveals the central connectors, the impact of these people on an organization, and, finally, the actions a manager can take to either (1) acknowledge and recognize these people or (2) shift the work patterns to alleviate the bottlenecks.
All the network maps in the book are from real cases - and they are universal as well. You'll not have a difficult time recognizing your own organization (or those you've worked with) in most of these examples. The "before and after" maps are illuminating and inspiring. The descriptions of the methodology are straightforward and useful. I'll say it again: this book is actionable, for both senior managers who want to understand and support networked organizational dynamics and for consultants (internal and external) who want a practical guidebook that establishes the standard for the practice of social network analysis.
Full disclosure: I am a practicing consultant who uses social network analysis in my work. When I first heard Rob Cross talk about social network analysis at an Institute for Knowledge Management workshop in Santa Fe four years ago, I knew that this was work that I needed to do in my organization. I had the good fortune to work with Rob and Andrew Parker on several projects, and to learn the method described in this book from them. I inherited, through their teaching and mentoring, the enthusiasm for bringing stunning insights to managers about their organizations as revealed in an analysis of their networks, and a strong sense of the ethics and responsibility in managing analysis projects. I've been waiting almost a year for this book to come out so that I can share it with my clients.The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations Overview

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