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Book ChapterDOI

Why Do Diffusion Data Not Fit the Logistic Model? A Note on Network Discreteness, Heterogeneity and Anisotropy

TLDR
This chapter scrutinizes network forcing of diffusion process and the departure of empirical data from the logistic function is explained by social network discreteness, heterogeneity and anisotropy.
Abstract
Diffusion of innovations and knowledge is in most cases accounted for by the logistic model. Fieldwork research however constantly report that empirical data utterly deviate from this mathematical function. This chapter scrutinizes network forcing of diffusion process. The departure of empirical data from the logistic function is explained by social network discreteness, heterogeneity and anisotropy. New indices are proposed. Results arc illustrated by empirical data from an original study of knowledge diffusion in the medieval academic network.

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Journal ArticleDOI

Timing of Water Deficit Limits Maize Kernel Setting in Association With Changes in the Source-Flow-Sink Relationship.

TL;DR: The water deficit during the vegetative organ rapid growth period both limited leaf source development and assimilate flow and slowed down kernel development, and (2) the water deficit just before and during flowering reduced kernel sink.
Book ChapterDOI

Openness in the Global Network

TL;DR: In this article, the authors present the dynamics at the team level associated with collaboration and networked structures, and describe the emerging landscape of collaboration for the individual and the team in science and technology.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Book

Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Journal ArticleDOI

The Strength of Weak Ties

TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
Journal ArticleDOI

Diffusion of Innovations

Journal ArticleDOI

Threshold models of collective behavior.

TL;DR: This article developed models of collective behavior for situations where actors have two alternatives and the costs and/or benefits of each depend on how many other actors choose which alternative, and the key...
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