The Effect of Sub Communities in a Community-Based Peer-to-Peer Model Based on Social Networks

2008 ◽  
Author(s):  
Amir Modarresi ◽  
Ali B. Mamat ◽  
Hamidah Ibrahim ◽  
Norwati Mustapha
Keyword(s):  
Social Networks ◽  
Peer To Peer ◽  
Community Based ◽  
Model Based

Spatial Effect of Crime on Peer-to-Peer Lodging Performance

2021 ◽  
pp. 004728752110082
Author(s):  
Yu-Hua Xu ◽  
Lori Pennington-Gray ◽  
Jinwon Kim
Keyword(s):  
Peer To Peer ◽  
Spatial Effect ◽  
Econometric Models ◽  
Spatial Econometric ◽  
Community Based ◽  
Negatively Associated ◽  
Business Operations ◽  
Spatial Econometric Models ◽  
Crime Types ◽  
Social Uncertainty

Safety is a major factor impacting consumers’ participation in peer-to-peer (P2P) economies. Using spatial econometric models, this study examined crime effects on the performance (RevPAR) of P2P lodgings at three spatial ranges: property, community, and destination level. The performance of P2P lodgings is negatively associated with crime densities, while the degree of the association varies by crime types and room types. Crime can “spill over” to the neighborhood and have the strongest impact at the community level, followed by the destination level and the property level. The study provides a way to understand tourism risks using criminology theories and the concept of social uncertainty. Empirically, the study provides implications to the governance of community-based lodging business. We suggest that the effect of crime on P2P lodging performance was more conditioned by the safety environment in its neighborhood and the whole destination, rather than individual business operations.

scholarly journals Structure of peer-to-peer social networks

2006 ◽  
Vol 73 (3) ◽  
Author(s):  
Fang Wang ◽  
Yamir Moreno ◽  
Yaoru Sun
Keyword(s):  
Social Networks ◽  
Peer To Peer ◽  
Peer Social Networks

A Peer-to-Peer energy trading market model based on time-driven prospect theory in a smart and sustainable energy community

2021 ◽  
Vol 28 ◽  
pp. 100542
Author(s):  
Sobhan Dorahaki ◽  
Masoud Rashidinejad ◽  
Seyed Farshad Fatemi Ardestani ◽  
Amir Abdollahi ◽  
Mohammad Reza Salehizadeh
Keyword(s):  
Prospect Theory ◽  
Sustainable Energy ◽  
Peer To Peer ◽  
Market Model ◽  
Energy Trading ◽  
Model Based ◽  
Trading Market ◽  
Energy Community

Step-based evolution support among networked production automation systems

2018 ◽  
Vol 66 (10) ◽  
pp. 849-858
Author(s):  
Christopher Haubeck ◽  
Heiko Bornholdt ◽  
Winfried Lamersdorf ◽  
Abhishek Chakraborty ◽  
Alexander Fay
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Peer To Peer ◽  
Evolution Process ◽  
Physical Systems ◽  
Model Based ◽  
Automation Systems ◽  
Production Automation ◽  
Isolated Systems

Abstract Production systems are no longer rigid, unyielding, and isolated systems anymore. They are rather interconnected cyber-physical systems with an evolution process that needs to be supported. To enable reusability in evolution, a change-first cooperative support is proposed that relies on model-based evolution steps. The approach establishes a network-wide evolution process in a peer-to-peer networked community. Thus, moving towards decentralised marketplaces for evolution steps.

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