NDLI: Effects of Controllable Facilitators on Social Media: Simulation Analysis Using Generalized Metanorms Games

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Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification

Dependency Expansion Model for Sentiment Lexicon Extraction

Correlation Coefficient of Compositional Data Based on Isometric Logratio Transformation

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Smart and Secure Sensor Data Sharing in Crisis Response and Management

An Agent-Based Approach to Understand Events in Surveillance Environments

Automatic Classification Methods of Photographs Based on Geographical Attentions of Crowd

Determining Human Dynamics through the Internet of Things

Effects of Controllable Facilitators on Social Media: Simulation Analysis Using Generalized Metanorms Games

Proposition of the Context-Aware Application Prediction Mechanism for Mobile Devices

Association between Selective Exposure and Attitude on Twitter

Evolution of Cooperation in Meta-Rewards Games on Networks of WS and BA Models

Adaptive Risk Choice Behavior Using MAS

Automatic Extraction of Domain Specific Non-taxonomic Relations from Portuguese Corpora

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Representation of RDF-Oriented Composition with OWL DL Ontology

Automatic Information Extraction from Texts with Inference and Linguistic Knowledge Acquisition Rules

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Named Entity Disambiguation Using HMMs

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Ambient Coaching of Progressive Relaxation

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Algebraic Model and Implementation of Translation between Logic and Natural Language

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W-Interfaces, Business Intelligence, and Content Processing

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Vision-Based Web Page Block Segmentation and Informative Block Detection

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A Market-Based Agent-Mediated Resource Control Framework for Middle-Scale Smart Grids

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Effects of Controllable Facilitators on Social Media: Simulation Analysis Using Generalized Metanorms Games

Content Provider	ACM Digital Library
Author	Toriumi, Fujio Yamamoto, Hitoshi Okada, Isamu
Abstract	Do we have options to encourage users to continue participating in social media? Users can retrieve information in social media without posting articles and/or comments. Thus, information on the media is regarded as a public good, and media managers must be concerned with the free-riding problem. By installing controllable agents, we analyze the evolution of cooperation in an extended version of the Metanorms Game that describes the communication carried out in specific social media and issues both rewards for cooperation and punishments for noncooperation. From the results of our agent-based simulation, the rewards for cooperation and the rewards for rewards given by others clearly encourage cooperation. Consequently, we clarify that cooperative behaviors are dominant when the benefits of cooperation exceed the costs of rewarding other users. The effects of controllable agents on the evolution of cooperation depend on their types. Whereas the existence of agents who are always cooperating and rewarding cooperators promotes cooperation, agents who are rewarding cooperators without cooperating discourages cooperation. We believe that understanding such mechanisms will be very beneficial when managers make social media policies and decide how to encourage such media.
Starting Page	114
Ending Page	117
Page Count	4
File Format	PDF
ISBN	9780769551456
DOI	10.1109/WI-IAT.2013.162
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-17
Access Restriction	Subscribed
Subject Keyword	Generalized metanorms games public goods game agent based simulation
Content Type	Text
Resource Type	Article

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