Publication

Special Section: Information and Competitive Strategy in a Networked Economy

Thomas Alois Weber
2012
Journal Articles

Abstract

The special section of 2012 Journal of Management Information Systems deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the possibility for collaboration between different platforms in a two-sided market. Xiaoquan (Michael) Zhang and Chong (Alex) Wang, in 'Network Positions and Contributions to Online Public Goods: The Case of Chinese Wikipedia,' examine the impact the network structure may have to encourage social content contribution. 'Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model,' by Qian Tang, Bin Gu, and Andrew B. Whinston, estimates a dynamic structural model for the payoff function. Debabrata Dey, Atanu Lahiri, and Guoying Zhang provide an interesting twist on this standard story in their paper 'Hacker Behavior, Network Effects, and the Security Software Market, where a higher penetration, and thus larger, network, tends to decrease a user's ex ante benefit.

Official source

https://infoscience.epfl.ch/entities/publication/82bc5900-bfb2-4cef-90f5-0093785b5077

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Thomas Alois Weber
2012
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/82bc5900-bfb2-4cef-90f5-0093785b5077

About this result

Related concepts (32)

Social network

A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.

Network theory

In mathematics, computer science and network science, network theory is a part of graph theory. It defines networks as graphs where the nodes or edges possess attributes. Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) components. Network theory has applications in many disciplines, including statistical physics, particle physics, computer science, electrical engineering, biology, archaeology, linguistics, economics, finance, operations research, climatology, ecology, public health, sociology, psychology, and neuroscience.

Network science

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology.

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