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Item #:
46904289
Social Network Analysis: Methods and Examples
93% of respondents would recommend this to a friend
Item #:
46904289
€ 68
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What Stands Out
Comprehensive Methods
Covers a range of techniques in social network analysis, enabling readers to apply appropriate methods for various types of data and research objectives, enhancing their analytical skills.
Real-World Examples
Includes practical case studies that illustrate the application of theoretical concepts, making it easier for readers to understand and implement social network analysis in their own work.
Accessible Language
Written in clear and straightforward language, ensuring that both beginners and experienced researchers can easily grasp complex ideas without feeling overwhelmed by jargon.
Product Details
| Publisher | SAGE Publications, Inc |
| Publication date | December 2, 2016 |
| Edition | 1st |
| Language | English |
| Print length | 248 pages |
| ISBN-10 | 1483325210 |
| ISBN-13 | 978-1483325217 |
| Item Weight | 15.2 ounces (430.92 grams) |
| Dimensions | 7.41 x 0.5 x 9.13 inches (18.8 x 1.3 x 23.2 cm) |
Who Should Buy?
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Academics and Researchers
Essential for those studying social networks, providing in-depth methodologies and real-world examples to enhance understanding.
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Data Analysts
Ideal for data professionals seeking to implement social network analysis in their projects with practical insights.
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Business Strategists
Useful for strategists looking to leverage social network insights to improve organizational effectiveness and network relationships.
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Casual Readers
Not suited for casual readers with little interest in data analysis or social network phenomena.
Product Description
Social Network Analysis: Methods and Examples
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Methodology Editorial Review
**** "Social Network Analysis: Methods and Examples" has been well-received as a comprehensive introduction to social network analysis (SNA), particularly appreciated for its clear and direct language, making complex concepts accessible to readers, including students and those new to the subject. The text is methodically organized, starting with foundational definitions and progressing through various applications in notable fields such as crime, health, and politics. This logical structure aids readers in navigating the intricacies of SNA, allowing them to simultaneously engage with theoretical underpinnings and practical Considerations—though the balance leans more towards theory than hands-on application, which some users found disappointing. Readers commend the thorough references provided, enhancing its utility as a scholarly resource. However, the book's focus on understanding theory rather than equipping readers with statistical tools for practical data analysis has drawn some criticism, as it may not serve those looking to apply SNA techniques in real-world scenarios. The absence of advanced statistical discussions suggests that the target audience primarily includes undergraduates and those interested in a foundational comprehension of SNA. Despite some critiques regarding the monochrome illustrations, which may hinder clarity, "Social Network Analysis: Methods and Examples" stands out as a valuable educational text suited for upper-level courses, multi-week doctoral programs, or anyone seeking a gentle introduction to the topic without diving into complex mathematical models. **
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Pros
- Clear and accessible language, aiding comprehension of complex topics.
- Well-structured with a logical progression from theory to application.
- Comprehensive reference section, enhancing scholarly value.
- Suitable for undergraduates and beginners interested in social network analysis.
- Rich examples from various fields like politics, crime, and health.
Cons
- Greater focus on theory rather than practical application of statistical analysis.
Product Price History
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€ 68
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Features & Benefits
- Ideal for social science students learning social network analysis.
- Covers basic methodological tools essential for SNA.
- Features illustrative examples from diverse fields including politics and health.
- Focuses on research design, data collection, and analysis.
- Includes four chapters dedicated to substantive application.
- Innovatively connects SNA methods to practical research uses.
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