A Survey of Statistical Network Models aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities across different parts of the network literature, and discusses major schools of thought in static and dynamic network modeling. Networks have found a prominent place in our everyday lives. In science, networks have been used to analyze interpersonal social relationships, communication, academic paper co- authorships and citations, protein interaction patterns, and much more. Popular books on networks and their analysis began to appear a decade ago, and online "networking communities" such as Facebook, MySpace, and LinkedIn now include millions of people from around the world. Formal statistical modeling for the analysis of network data has emerged as a major research topic in diverse areas of study. A Survey of Statistical Network Models aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities across different parts of the network literature, and discusses major schools of thought in static and dynamic network modeling. In addition it illuminates the interconnections between existing models. Despite the rich and extensive network modeling literature, many statistical questions remain unanswered. It is hoped that the concluding discussion of gaps and challenges will help the interested reader deduce important future research directions.
For courses covering general topics in math course, often called liberal arts math, contemporary math, or survey of math.
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The Tenth Edition of A Survey of Mathematics with Applicationscontinues the tradition of showing students how we use mathematics in our daily lives and why it's important, in a clear and accessible way. With straightforward language, detailed examples, and interesting applications, the authors ensure non-majors will relate to the math and understand the mathematical concepts that pervade their lives. With this revision, an expanded media program in MyMathLab, and a new workbook further build upon the tradition of motivating and supporting student learning.
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Shakespeare Survey is a yearbook of Shakespeare studies and production. Since 1948, the Survey has published the best international scholarship in English and many of its essays have become classics of Shakespeare criticism. Each volume is devoted to a theme, or play, or group of plays; each also contains a section of reviews of that year's textual and critical studies and of the year's major British performances. The theme for Volume 65 is 'A Midsummer Night's Dream'. The complete set of Survey volumes is also available online at http://www.cambridge.org/online/shakespearesurvey. This fully searchable resource enables users to browse by author, essay and volume, search by play, theme and topic and save and bookmark their results.
This book brings into focus the technologically augmented nature of global online communities, advancing research methods that reveal the imprint of emergent social forms and characterise digital frontiers of social engagement. Drawing on insights from across the social sciences, it presents a case study of people with passions for reptiles and amphibians to illustrate for next generation researchers how to conduct community research in the real world. Richly illustrated with ethnographic research, together with extensive survey and interview material drawn from around the world, Research Methods and Global Online Communities explores the changing nature of communities that form around common interests and are embedded in a digital architecture rather than place. In doing so, this book transcends the digital dualism of online/offline models of community and engages with debates on the social impacts of the internet and the adaptive nature of community. As such, it will appeal to social scientists interested in innovative approaches to characterising digital communities through mixed-methods research practice.
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