Written in an accessible manner, this book provides an introduction to Social Network Analysis (SNA), presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks (illegal and covert networks that analysts must track, identify, and dismantle).
Written in an accessible manner, this book provides an introduction to Social Network Analysis (SNA), presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks (illegal and covert networks that analysts must track, identify, and dismantle).Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Author Bio Main Author Daniel Cunningham Daniel Cunningham was born in 1987. He grew up as a pastor's kid and a significant fan of Fantasy and sci-fi. He loved Everything from comic book heroes like Spider-man and novels like the Lord of the Rings to shows like Star gate. He learned much and had a very active mind but was a total geek. When he graduated High School in 2006, he joined the United States Marine Corps at 19 years of age that same year. He became a Marine Corps grunt, a 0311 Rifleman. He served in the Iraq and Afghanistan wars. After four years, he left active duty to go to college, where he kept switching his significants, trying to find what best fits him. After six years of college, Daniel decided enough was enough left and went into the MO southern State University police academy. After graduating, though, and realizing he wouldn't make a good cop, he took a job at a security firm. During that time, other creatives inspired him to write his book series after he and others watched as every franchise they once loved betrayed their fan base or was bought out by some corporation, then turned against what the original creator wanted. So he decided it was time for a new franchise to be born, one that couldn't be bought or twisted by others and him powerless to do anything but voice his opinions. Now he hopes that all who read and love this new universe that Daniel has put together for most of his life are shared with you all and hopes it brings joy like so many fantasy books and stories had brought him over the years. Now Daniel runs his small YouTube channel called The Myriasphere Origins while working on his book series and takes care of his five kids, who he hopes will also love his stories and hopes one day to help bring other small creators to the forefront to inspire more and more story's that will also bring joy to people and a chance to escape all life problems and dive into worlds of wonder and amazement.
Inhaltsangabe
List of Figures List of Tables Introduction Part I: Introduction to Social Network Analysis Chapter 1: Social Networks Chapter 2: Strategic Options for Disrupting Dark Networks Chapter 3: Collecting, Coding, and Manipulating Social Network Data Part II: Exploratory Social Network Analysis Chapter 4: Topographical Features of Dark Networks Chapter 5: Detecting Subgroups In Networks Chapter 6: Identifying Central Actors In Networks Chapter 7: Brokerage within Networks Chapter 8: Positional Approaches to Analyzing Networks Part III: Confirmatory Social Network Analysis Chapter 9: Digging Deeper and Testing Hypotheses Chapter 10: More Hypothesis Testing: Using Exponential Random Graph Models (Ergms) To Explain Tie Formation Chapter 11: Longitudinal Analyses of Dark Networks Part IV: Conclusion Chapter 12: Lessons Learned Appendix 1: Data Description And Codebook Appendix 2: Glossary of Terms Appendix 3: Analytic Software References Index About the Authors
List of Figures List of Tables Introduction Part I: Introduction to Social Network Analysis Chapter 1: Social Networks Chapter 2: Strategic Options for Disrupting Dark Networks Chapter 3: Collecting, Coding, and Manipulating Social Network Data Part II: Exploratory Social Network Analysis Chapter 4: Topographical Features of Dark Networks Chapter 5: Detecting Subgroups In Networks Chapter 6: Identifying Central Actors In Networks Chapter 7: Brokerage within Networks Chapter 8: Positional Approaches to Analyzing Networks Part III: Confirmatory Social Network Analysis Chapter 9: Digging Deeper and Testing Hypotheses Chapter 10: More Hypothesis Testing: Using Exponential Random Graph Models (Ergms) To Explain Tie Formation Chapter 11: Longitudinal Analyses of Dark Networks Part IV: Conclusion Chapter 12: Lessons Learned Appendix 1: Data Description And Codebook Appendix 2: Glossary of Terms Appendix 3: Analytic Software References Index About the Authors
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