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Books > Computing & IT > General theory of computing > Mathematical theory of computation
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A Survey of Statistical Network Models (Paperback)
Loot Price: R2,055
Discovery Miles 20 550
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A Survey of Statistical Network Models (Paperback)
Series: Foundations and Trends (R) in Machine Learning
Expected to ship within 10 - 15 working days
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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.
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