Structure in Complex Networks

• Κύριος συγγραφέας: Reichardt, J. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Lecture Notes in Physics, 766
• Θέματα: Computer science.; Computers.; Algorithms.; Artificial intelligence.; Statistical physics.; Dynamical systems.; Economic theory.; Computer Science.; Theory of Computation.; Algorithm Analysis and Problem Complexity.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.; Economic Theory/Quantitative Economics/Mathematical Methods.

In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of d...

Πίνακας περιεχομένων:

• to Complex Networks
• Standard Approaches to Network Structure: Block Modeling
• A First Principles Approach to Block Structure Detection
• Diagonal Block Models as Cohesive Groups
• Modularity of Dense Random Graphs
• Modularity of Sparse Random Graphs
• Applications
• Conclusion and Outlook.