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Published **February 29, 2008**
by Cambridge University Press .

Written in English

- Communications engineering / telecommunications,
- Probability & statistics,
- Mathematics,
- Science/Mathematics,
- Probability & Statistics - General,
- Mathematics / Statistics

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 216 |

ID Numbers | |

Open Library | OL10437478M |

ISBN 10 | 0521854423 |

ISBN 10 | 9780521854429 |

For example, random links between nodes #6 and #10 or nodes #4 and #1 serve to reach to clusters on the opposite side of the network. This shortening of path length tends to increase connectivity. Unlike real world networks, there is low clustering in random networks. Therefore, the resulting network very rarely contains highly connected nodes. Offers a comprehensive overview of random graphs and networks Emphasis is on modeling complex real-world networks such as brains, biological and physical memories, computer systems and communication New conjectures are outlined and new directions for future research are definedBrand: Springer-Verlag Berlin Heidelberg. I picked up this book because I am studying Random Networks since it is an important tool for my current research in Complex Social Networks. So, in term of contents, I cannot judge whether it is useful for a researcher in the field of communication engineering.5/5. 1. Introduction: Networks and Human Behavior 3 2. Power and Influence: Central Positions in Networks 11 3. Diffusion and Contagion 44 4. Too Connected to Fail: Financial Networks 68 5. Homophily: Houses Divided 93 6. Immobility and Inequality: Network Feedback and Poverty Traps 7. The Wisdom and Folly of the Crowd 8.

Get this from a library! Random networks for communication: from statistical physics to information systems. [Massimo Franceschetti; Ronald Meester] -- "The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. Random Networks for Communication With a focus on information flow, the issue at the heart of communication systems, this book provides an introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random. TY - BOOK. T1 - Random networks for communication. AU - Franceschetti, M. AU - Meester, R.W.J. N1 - MR From statistical physics to information systems. PY - Y1 - M3 - Book. SN - T3 - Cambridge Series in Statistical and Probabilistic Mathematics. BT - Random networks for communication. PB - Cambridge University Cited by:

It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. Communication networks underpin our modern world, and provide fasci- that can be used to help understand the behaviour of large-scale stochastic networks. Queueing and loss networks will be studied, as well as random This book is about stochastic networks and their applications. Large-scaleFile Size: 1MB. The random graphs presented by Erdos and Reyni are the simplest network models to feature small world properties, since the typical distance among any two points in a random graph scales as ln(N), where N is a number of nodes in a network. Clustering In many real examples of networks or graphs fully connected subgraphs emerge. SuchFile Size: 1MB. Computer- Communication Networks presents a collection of articles the focus of which is on the field of modeling, analysis, design, and performance optimization. It discusses the problem of modeling the performance of local area networks under file transfer. It addresses the .

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