This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks.
Social Network Analysis for Startups
You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Good introductory book on social network analysis. To be able to see in the world in networks and components is a great addition to one's mental toolkit.
I saw this on Paul Hummer's list and wanted to check it out. I enjoyed reading it, but it wasn't quite what I was looking for. It was very practical and hands-on, but pretty basic, if you're someone like me who deals with data regularly.
Social Network Analysis for Startups - O'Reilly Media
I was wanting something more theoretical or analytical, I guess. If you've never worked with data or social networks before, this would be a good starting point. Nov 17, Espen rated it liked it Shelves: information-access.
Concise and well-written like most O'Reilly stuff book on basic social network analysis, complete with Python, Unix-based code and examples. You can ignore the code samples if you want to just read the book I was able to replicate some of them using UCINet, a network analysis tool.
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Liked it. Feb 24, Wael Al-alwani rated it it was amazing. Truly amazing book. The book inspired me with many ideas. Very recommended read. Feb 09, Vuk Trifkovic rated it it was ok. Good introduction to graph theory in general, but nothing spectacular. Oct 22, Tristan Williams rated it really liked it. Good introductory book on social network analysis. Nothing too complicated, currently using this stuff for a work project, found it helpful enough.
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Social Network Analysis for Startups: Finding connections on the social web
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Preview this item Preview this item. This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks.
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You'll also learn how to use Python and other open source tools--such as NetworkX, NumPy, and Matplotlib--to gather, analyze, and visualiz. Read more Show all links.