In the past decade, the study of networks has increased dramatically. Researchers from across the sciences—including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics—are more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace, with contributions coming from a wide spectrum of disciplines.
This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathematics. In addition, the examples—including extended cases studies—are drawn widely from the literature. This book should be of substantial interest both to statisticians and to anyone else working in the area of ‘network science.’
The coverage of topics in this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, to sampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows. This book is the first such resource to present material on all of these core topics in one place.
發表於2024-12-24
Statistical Analysis of Network Data 2024 pdf epub mobi 電子書 下載
有限的存在如井底之蛙,因而,人生若充滿好奇,所見之世界必然充滿瞭驚喜。寫這麼少顯然不能作為評論的,但我強烈推薦任何自認為對於網絡研究入門的人用來鑒彆自己的等級。這本書中有很多驚喜。我會以之作為這半年主要的研究方嚮。
評分有限的存在如井底之蛙,因而,人生若充滿好奇,所見之世界必然充滿瞭驚喜。寫這麼少顯然不能作為評論的,但我強烈推薦任何自認為對於網絡研究入門的人用來鑒彆自己的等級。這本書中有很多驚喜。我會以之作為這半年主要的研究方嚮。
評分有限的存在如井底之蛙,因而,人生若充滿好奇,所見之世界必然充滿瞭驚喜。寫這麼少顯然不能作為評論的,但我強烈推薦任何自認為對於網絡研究入門的人用來鑒彆自己的等級。這本書中有很多驚喜。我會以之作為這半年主要的研究方嚮。
評分有限的存在如井底之蛙,因而,人生若充滿好奇,所見之世界必然充滿瞭驚喜。寫這麼少顯然不能作為評論的,但我強烈推薦任何自認為對於網絡研究入門的人用來鑒彆自己的等級。這本書中有很多驚喜。我會以之作為這半年主要的研究方嚮。
評分有限的存在如井底之蛙,因而,人生若充滿好奇,所見之世界必然充滿瞭驚喜。寫這麼少顯然不能作為評論的,但我強烈推薦任何自認為對於網絡研究入門的人用來鑒彆自己的等級。這本書中有很多驚喜。我會以之作為這半年主要的研究方嚮。
圖書標籤: 數據挖掘 統計學 SNA 統計 網絡 社交網絡 計算機科學 Networks
對已有工作的總結非常精當,數學不好者慎重⋯⋯
評分對已有工作的總結非常精當,數學不好者慎重⋯⋯
評分對已有工作的總結非常精當,數學不好者慎重⋯⋯
評分對已有工作的總結非常精當,數學不好者慎重⋯⋯
評分對已有工作的總結非常精當,數學不好者慎重⋯⋯
Statistical Analysis of Network Data 2024 pdf epub mobi 電子書 下載