Institutions and Organizations

The article reports on the writing of the landmark book “Papers in the Science of Administration,” edited by Luther Gulick and L. F. Urwick. The author focuses on the unusual circumstances surround...

Papers on the Science of Administration

This book by Nino Boccara presents a compilation of model systems commonly termed as `complex'. It starts with a definition of the systems under consideration and how to build up a model to describe the complex dynamics. The subsequent chapters are devoted to various categories of mean-field type models (differential and recurrence equations, chaos) and of agent-based models (cellular automata, networks and power-law distributions). Each chapter is supplemented by a number of exercises and their solutions. The table of contents looks a little arbitrary but the author took the most prominent model systems investigated over the years (and up until now there has been no unified theory covering the various aspects of complex dynamics). The model systems are explained by looking at a number of applications in various fields. The book is written as a textbook for interested students as well as serving as a compehensive reference for experts. It is an ideal source for topics to be presented in a lecture on dynamics of complex systems. This is the first book on this `wide' topic and I have long awaited such a book (in fact I planned to write it myself but this is much better than I could ever have written it!). Only section 6 on cellular automata is a little too limited to the author's point of view and one would have expected more about the famous Domany--Kinzel model (and more accurate citation!). In my opinion this is one of the best textbooks published during the last decade and even experts can learn a lot from it. Hopefully there will be an actualization after, say, five years since this field is growing so quickly. The price is too high for students but this, unfortunately, is the normal case today. Nevertheless I think it will be a great success!

Modeling Complex Systems

W oter an Att eeldt Wouter van Atteveldt http://vanatteveldt.com http://content-analysis.org Semantic Network Analysis is a technique in which the content of a message (such as a newspaper article) is extracted from text and represented as a network of semantic relations between actors and issues, which can be queried to look for specific patterns and answer various research questions. This technique yields data that are easier to compare, combine, and share than traditional content analysis techniques.

http://vanatteveldt.com/wp-content/uploads/vanatteveldt_semanticnetworkanalysis.pdf

Semantic Network Analysis: Techniques for Extracting, Representing, and Querying Media Content

Glahn, C. (2009). Contextual support of social engagement and reflection on the Web. Doctoral thesis. September, 18, 2009, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

/pdf/contextual-support-of-social-engagement-and-reflection-on-4nggzm2tsa.pdf

Contextual support of social engagement and reflection on the Web

/pdf/on-computer-aided-methods-for-modeling-and-analysis-of-23k1i1gnb4.pdf

On Computer-Aided Methods for Modeling and Analysis of Organizations

The concepts of power and authority are inherent in human organizations of any type. In some organizations power relations on individuals are defined explicitly and formalized in organizational documentation. In other organizations power relations are implicit, less strict and may change depending on contextual conditions. As power relations have important consequences for organizational viability and productivity, they should be considered explicitly in enterprise information systems (EISs). Although organization theory provides a rich and very diverse theoretical basis on organizational power, still most of the definitions for power-related concepts are too abstract, often vague and ambiguous to be directly implemented in EISs. To create a bridge between informal organization theories and automated EISs, this chapter proposes a formal logic-based specification language for representing power(in particular authority) relations and their dynamics. The use of the language is illustrated by considering authority structures of organizations of different types. Moreover, the chapter demonstrates how the formalized authority relations can be integrated into an EIS.

Modeling and Implementation of Formal Power Structures in Enterprise Information Systems

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On Computer-Aided Methods for Modeling and Analysis of Organizations

Modeling and Implementation of Formal Power Structures in Enterprise Information Systems