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A First Course in Network Science
85% of respondents would recommend this to a friend
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This modern, accessible textbook introduces the basics of network science for a wide range of job sectors
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Product Details
| Publisher | Cambridge University Press |
| Publication date | January 30, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 300 pages |
| ISBN-10 | 1108471137 |
| ISBN-13 | 978-1108471138 |
| Item Weight | 1.7 pounds (770 grams) |
| Dimensions | 7.5 x 0.75 x 9.75 inches (19.1 x 1.9 x 24.8 cm) |
Who Should Buy?
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Students of Network Science
Ideal for undergraduate students seeking foundational knowledge in network analysis and its applications in various fields.
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Data Analysts
Great for data analysts looking to expand their skill set in network modeling and understanding relational data.
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Research Enthusiasts
Perfect for researchers interested in exploring complex networks, offering methodologies relevant to modern social and biological networks.
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Casual Readers
Not suitable for casual readers as it contains technical content and requires prior knowledge of mathematics and statistics.
Product Description
A First Course in Network Science
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Mathematical Physics Editorial Review
A First Course in Network Science offers a clear and concise approach for students at various levels, making it an excellent resource for teaching introductory and advanced network science concepts. The book utilizes real-world examples to explain complex ideas, ensuring relatability for learners. The inclusion of documented code examples and a GitHub repository for Python notebooks allows readers to engage hands-on with the material. Reviewers appreciate the thoughtful progression from fundamental concepts to more advanced topics, highlighting its suitability for both novices and experienced programmers. The textbook strikes a balance between theoretical foundation and practical applications, making it highly recommended for anyone interested in this field.
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Pros
- Clear and concise writing style
- Real-world examples enhance understanding
- Includes Python code examples
- Well-structured progression of topics
- Great resource for teaching network science
Cons
- Absolute beginners might find it challenging
Product Price History
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Features & Benefits
- Introduces basics of network science
- Suitable for a wide range of job sectors
- Develop practical skills
- Learn to code with Python
- Plenty of hands-on practice
- Ideal for beginners without strong math or computing background
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