Titlebook: Introduction to Computational Social Science; Principles and Appli Claudio Cioffi-Revilla Textbook 2017Latest edition Springer Nature Switz

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iche historische Bezüge und Literaturverweise.Mit Aufgaben a.Dieses Lehrbuch bringt in einem stufenweisen Aufbau, ausgehend von der Mittelwerteigenschaft harmonischer Funktionen, über die Perronsche Methode zur Lösung des Dirichletproblems für die Laplacegleichung und den Kelloggschen Satz über das

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Automated Information Extraction,l Social Science. In this chapter takes a close look at this area, beginning with roots in linguistics. Computational text mining has been the main application of this area of CSS, but audio, imagery, and social media data are also components of the expanding Big Data universe. Theory and research i

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Social Complexity II: Laws,ong components and variables of complex social systems. The approach in this chapter is to divide the study of laws of social complexity into two classes: structural laws and distributional laws. Structural laws of social complexity describe how social complexity depends on organizational architectu

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,Social Complexity III: Theories,rmal and empirically referenced theories, in some cases amenable to validation with real-world data, consistent with a computational approach. The chapter has three thrusts. The first is to provide the reader with proper foundations in elements of process analysis, Boolean logic, and elementary prob

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Simulations II: Variable-Oriented Models,tion, pollution, and other variables. This chapter examines the contemporary landscape of variable-based model used in CSS. The emphasis is on system dynamics models and queuing models, two of the most important classes of variable-oriented models in use today. Both social simulation modeling tradit