Dynamic Graph Mining

Explore the fundamentals of Dynamic Graph Mining with this curated reading list. Featuring Albert-László Barabási's seminal book *Linked*, this collection delves into network theory, computer networks, and the evolving structure of complex systems—a must-see for data scientists and researchers.

Mining graph data Cover
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Mining graph data

 

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Combinatorial optimization Cover
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Combinatorial optimization

 

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Modern graph theory Cover
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Modern graph theory

 

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A textbook of graph theory Cover
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A textbook of graph theory

 

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Combinatorial optimization

 

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Network flows Cover
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Network flows

 

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Practical Methods of Optimization

 

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Introduction to algorithms

 

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Introduction to the Theory of Computation Cover
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Introduction to the Theory of Computation

 

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Computers and intractability

 

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Pattern classification

 

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The elements of statistical learning

 

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Machine Learning (Mcgraw-Hill International Edit) Cover
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Machine Learning (Mcgraw-Hill International Edit)

 

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Artificial intelligence

 

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Artificial intelligence

 

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Introduction to Data Mining, (First Edition) Cover
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Introduction to Data Mining, (First Edition)

 

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Data Mining Cover
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Data Mining

 

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Linked Cover
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Linked

by Albert-László Barabási

We've long suspected that we live in a small world, where everything is connected to everything else. Indeed, networks are pervasive--from the human brain to the Internet to the economy to our group of friends. These linkages, it turns out, aren't random. All networks, to the great surprise of scientists, have an underlying order and follow simple laws. Understanding the structure and behavior of these networks will help us do some amazing things, from designing the optimal organization of a firm to stopping a disease outbreak before it spreads catastrophically. In Linked, Barabási, a physicist whose work has revolutionized the study of networks, traces the development of this rapidly unfolding science and introduces us to the scientists carrying out this pioneering work. These "new cartographers" are mapping networks in a wide range of scientific disciplines, proving that social networks, corporations, and cells are more similar than they are different, and providing important new insights into the interconnected world around us. This knowledge, says Barabási, can shed light on the robustness of the Internet, the spread of fads and viruses, even the future of democracy.
Elements of information theory Cover
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Elements of information theory

 

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Introduction to wavelets and wavelet transforms Cover
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Introduction to wavelets and wavelet transforms

 

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Data Streams Cover
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Data Streams

 

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Information Theory, Inference & Learning Algorithms Cover
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Information Theory, Inference & Learning Algorithms

 

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Social network analysis Cover
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Social network analysis

 

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