Introduction to Computational Social Science - Info and Reading Options
Principles and Applications
By Claudio Cioffi-Revilla
"Introduction to Computational Social Science" was published by Springer London, Limited in 2013 - London, it has 320 pages and the language of the book is English.
“Introduction to Computational Social Science” Metadata:
- Title: ➤ Introduction to Computational Social Science
- Author: Claudio Cioffi-Revilla
- Language: English
- Number of Pages: 320
- Publisher: Springer London, Limited
- Publish Date: 2013
- Publish Location: London
“Introduction to Computational Social Science” Subjects and Themes:
- Subjects: ➤ Social sciences, data processing - Social sciences, mathematical models - Social sciences - Data processing - Mathematical models - Graph theory - Computer science - Data mining - Computer simulation - Methodology - Computer Appl. in Social and Behavioral Sciences - Methodology of the Social Sciences - Data Mining and Knowledge Discovery - Simulation and Modeling
Edition Specifications:
- Pagination: xxxiii, 320
Edition Identifiers:
- The Open Library ID: OL37431154M - OL20737471W
- ISBN-13: 9781447156611
- All ISBNs: 9781447156611
AI-generated Review of “Introduction to Computational Social Science”:
"Introduction to Computational Social Science" Description:
Open Data:
The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies. This reader-friendly textbook/reference is the first work of its kind to provide a comprehensive and unified Introduction to Computational Social Science. Four distinct methodological approaches are examined in particular detail, namely automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. The coverage of each of these approaches is supported by a discussion of the historical context and motivations, as well as by a list of recommended texts for further reading. Topics and features: Describes the scope and content of each area of CSS, covering topics on information extraction, social networks, complexity theory, and social simulations Highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics Explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches Discusses a number of methodological tools, including extracting entities from text, computing social network indices, and building an agent-based model Presents the main classes of entities, objects, and relations common to the computational analysis of social complexity Examines the interdisciplinary integration of knowledge in the context of social phenomena This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field
Read “Introduction to Computational Social Science”:
Read “Introduction to Computational Social Science” by choosing from the options below.
Search for “Introduction to Computational Social Science” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Introduction to Computational Social Science” in Libraries Near You:
Read or borrow “Introduction to Computational Social Science” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Introduction to Computational Social Science” at a library near you.
Buy “Introduction to Computational Social Science” online:
Shop for “Introduction to Computational Social Science” on popular online marketplaces.
- Ebay: New and used books.