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Advances in Network Clustering and Blockmodeling (Hardcover)
Loot Price: R2,268
Discovery Miles 22 680
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Advances in Network Clustering and Blockmodeling (Hardcover)
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Provides an overview of the developments and advances in the field
of network clustering and blockmodeling over the last 10 years This
book offers an integrated treatment of network clustering and
blockmodeling, covering all of the newest approaches and methods
that have been developed over the last decade. Presented in a
comprehensive manner, it offers the foundations for understanding
network structures and processes, and features a wide variety of
new techniques addressing issues that occur during the partitioning
of networks across multiple disciplines such as community
detection, blockmodeling of valued networks, role assignment, and
stochastic blockmodeling. Written by a team of international
experts in the field, Advances in Network Clustering and
Blockmodeling offers a plethora of diverse perspectives covering
topics such as: bibliometric analyses of the network clustering
literature; clustering approaches to networks; label propagation
for clustering; and treating missing network data before
partitioning. It also examines the partitioning of signed networks,
multimode networks, and linked networks. A chapter on structured
networks and coarsegrained descriptions is presented, along with
another on scientific coauthorship networks. The book finishes with
a section covering conclusions and directions for future work. In
addition, the editors provide numerous tables, figures, case
studies, examples, datasets, and more. Offers a clear and
insightful look at the state of the art in network clustering and
blockmodeling Provides an excellent mix of mathematical rigor and
practical application in a comprehensive manner Presents a suite of
new methods, procedures, algorithms for partitioning networks, as
well as new techniques for visualizing matrix arrays Features
numerous examples throughout, enabling readers to gain a better
understanding of research methods and to conduct their own research
effectively Written by leading contributors in the field of spatial
networks analysis Advances in Network Clustering and Blockmodeling
is an ideal book for graduate and undergraduate students taking
courses on network analysis or working with networks using real
data. It will also benefit researchers and practitioners interested
in network analysis.
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