Network Models Of The Diffusion Of Innovations
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Network Models of the Diffusion of Innovations
This text presents a key to understanding how ideas, products and opinions take off and spread throughout society - referred to as the diffusion of innovation - and provides a means to estimate how fast or slow that spread occurs. The diffusion of innovations occurs among individuals in a social system, and the pattern of communications among these individuals is a social network. The network determines how quickly innovations diffuse and the timing of each individual's adoption. The book thus analyses how social networks structure the diffusion of innovation.
Models and Methods in Social Network Analysis
Author: Peter J. Carrington
language: en
Publisher: Cambridge University Press
Release Date: 2005-02-07
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Managing Convergence in Innovation
Technology in several forms, especially Information Technology (IT), has a strong tendency to converge at varying degrees. This phenomenon of converging innovation is likely to deepen and widen in the future due to intense competition in global markets. Asian manufacturing firms in particular lead the global industrial innovation. Convergent innovation exists as a constant disequilibrium between reference technology and matching technology; innovations of these technologies occur at different degrees to attain an optimal balance. Innovations as a result of convergence are often beneficial, improving welfare and employment. This book sheds light on the little-discussed idea of convergent innovation with examples hailing from Asia. The book also proposes new theories and investigates convergence at the micro level – guaranteed food for thought for academics interested in innovation economics and management.