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The book gives a well balanced overview of mathematical approaches to describe complex systems reaching from chemical reactions, to gene regulation networks, to ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well known pioneer in the field, co-edit this volume and are careful in including not only classical but also non-classical approaches in complex network analysis. Overall, an valuable addition to the literature and must-have for anyone dealing with complex systems.

Advances in Network Complexity

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ADVANCES IN NETWORK COMPLEXITY

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Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Contents.
Preface.
List of Contributors.
1: Functional Complexity Based on Topology.
2: Connections between Artificial Intelligence and Computational Complexity and the Complexity of Graphs.
3: Selection-Based Estimates of Complexity Unravel Some Mechanisms and Selective Pressures Underlying the Evolution of Complexity in Artificial Networks.
4: Three Types of Network Complexity Pyramid.
5: Computational Complexity of Graphs.
6: The Linear Complexity of a Graph.
7: Kirchhoff&#x0027;s Matrix-Tree Theorem Revisited: Counting Spanning Trees with the Quantum Relative Entropy.
8: Dimension Measure for Complex Networks.
9: Information-Based Complexity of Networks.
10: Thermodynamic Depth in Undirected and Directed Networks.
11: Circumscribed Complexity in Ecological Networks.
12: Metros as Biological Systems: Complexity in Small Real-Life Networks.
Index.

Advances in Network Complexity.css-1p8rvzy{position:absolute;padding-left:8px;}

Advances in Network Complexity