Structural Differentiation in Social Media - Adhocracy, Entropy, and the "1 % Effect" (Hardcover, 1st ed. 2017)

This book explores community dynamics within social media. Using Wikipedia as an example, the volume explores communities that rely upon commons-based peer production. Fundamental theoretical principles spanning such domains as organizational configurations, leadership roles, and social evolutionary theory are developed. In the context of Wikipedia, these theories explain how a functional elite of highly productive editors has emerged and why they are responsible for a majority of the content. It explains how the elite shapes the project and how this group tends to become stable and increasingly influential over time. Wikipedia has developed a new and resilient social hierarchy, an adhocracy, which combines features of traditional and new, online, social organizations. The book presents a set of practical approaches for using these theories in real-world practice. This work fundamentally changes the way we think about social media leadership and evolution, emphasizing the crucial contributions of leadership, of elite social roles, and of group global structure to the overall success and stability of large social media projects. Written in an accessible and direct style, the book will be of interest to academics as well as professionals with an interest in social media and commons-based peer production processes.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Social Networks
Release date:	September 2017
First published:	2017
Authors:	Sorin Adam Matei • Brian Britt
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	247
Edition:	1st ed. 2017
ISBN-13:	978-3-319-64424-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Media studies Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-64424-6
Barcode:	9783319644240

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