Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Networks of Echoes : Imitation, Innovation and Invisible Leaders, Hardback Book

Networks of Echoes : Imitation, Innovation and Invisible Leaders Hardback

Part of the Computational Social Sciences series

Hardback

Description

Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs.

There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws.

The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives.

We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups.

The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms?

How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established?

Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator?

These questions and others are answered using a generic model of a complex dynamic network—one whose global behavior is determined by a symmetric interaction among individuals based on social imitation.

The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson.

How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general.

The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective.

This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses.

Information

Other Formats

Save 17%

£71.00

£58.39

Item not Available
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information