Dynamic Pricing in Social Networks

Dynamic Pricing in Social Networks

Author: Amir Ajorlou

Publisher:

Published: 2015

Total Pages: 59

ISBN-13:

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We study the problem of optimal dynamic pricing for a monopolist selling a product to consumers in a social network. In the proposed model, the only means of spread of information about the product is via Word of Mouth communication; consumers' knowledge of the product is only through friends who already know about the product's existence. Both buyers and non-buyers contribute to information diffusion while buyers are more likely to get engaged. By analyzing the structure of the underlying endogenous process, we show that the optimal dynamic pricing policy for durable products with zero or negligible marginal cost, drops the price to zero infinitely often. By attracting low-valuation agents with free-offers and getting them more engaged in the spread, the firm can reach out to potential high-valuation consumers in parts of the network that would otherwise remain untouched without the price drops. We provide evidence for this behavior from smartphone app market, where price histories indicate frequent free-offerings. Moreover, we show that despite infinitely often drops of the price to zero, the optimal price trajectory does not get trapped near zero. We demonstrate the validity of our results in face of strategic forward-looking agents, homophily-based engagement in word of mouth, network externalities, and consumer inattention to price changes. We further unravel the key role of the product type in the drops by showing that the price fluctuations disappear after a finite time for a nondurable product.


Naive Herding in Location-Based Networks

Naive Herding in Location-Based Networks

Author: Liangfei Qiu

Publisher:

Published: 2014

Total Pages: 0

ISBN-13:

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This paper studies social learning and optimal pricing in the presence of location-based social networks, such as Foursquare. We provide an analytic model to resolve the following questions: (1) What is the optimal pricing strategy in location-based networks? (2) How do different pricing strategies affect social welfare and the privacy concern of consumers? In the model, we relax the perfect rationality assumption and assume that customers who are embedded in location-based networks can make only naive inferences because of lacking the knowledge about the network structure. Our model shows that the seller could potentially control the information available to future customers and induce social learning by using different pricing strategies. Our results have clear managerial implications. Offering introductory discounts is not always an effective method to boost purchases. It could prevent the social learning that increases future customers' willingness to pay when customers adopt the naive inference rule.


Monopoly Pricing and Diffusion of (Social) Network Goods

Monopoly Pricing and Diffusion of (Social) Network Goods

Author: Euncheol Shin

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

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I present a new model of optimal dynamic pricing and diffusion of a network good sold by a monopolist. The good in this model is a social network good in that each consumer's value of the good within a social network increases as more of her neighbors use the good. In each period, the monopolist sets a subscription price and consumers myopically optimize their choices after comparing the overall adoption and the current subscription price. Thus, in contrast with one-sided diffusion models in the social network literature, the diffusion process arises as an equilibrium behavior of both the monopolist and consumers. As a result, I characterize a unique equilibrium, in which the diffusion process stays at a certain point. The equilibrium is efficient in that it involves the highest adoption rate with respect to the equilibrium subscription price. I also present the deadweight loss in the equilibrium and show how it depends on the connectivity of the underlying social network.


Dynamic Social Network Modeling and Analysis

Dynamic Social Network Modeling and Analysis

Author: National Research Council

Publisher: National Academies Press

Published: 2003-08-01

Total Pages: 393

ISBN-13: 0309089522

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In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.


Understanding Social Networks

Understanding Social Networks

Author: Charles Kadushin

Publisher: Oxford University Press

Published: 2012-01-02

Total Pages: 266

ISBN-13: 0199920818

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Despite the swift spread of social network concepts and their applications and the rising use of network analysis in social science, there is no book that provides a thorough general introduction for the serious reader. Understanding Social Networks fills that gap by explaining the big ideas that underlie the social network phenomenon. Written for those interested in this fast moving area but who are not mathematically inclined, it covers fundamental concepts, then discusses networks and their core themes in increasing order of complexity. Kadushin demystifies the concepts, theories, and findings developed by network experts. He selects material that serves as basic building blocks and examples of best practices that will allow the reader to understand and evaluate new developments as they emerge. Understanding Social Networks will be useful to social scientists who encounter social network research in their reading, students new to the network field, as well as managers, marketers, and others who constantly encounter social networks in their work.


Computational Social Networks

Computational Social Networks

Author: My T. Thai

Publisher: Springer

Published: 2015-07-30

Total Pages: 320

ISBN-13: 3319217860

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This book constitutes the refereed proceedings of the 4th International Conference on Computational Social Networks, CSoNet 2015, held in Beijing, China, in August 2015. The 23 revised full papers and 3 short papers presented together with 2 extended abstracts were carefully reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social link prediction and recommendation; and social network structure analysis.


Data Mining in Dynamic Social Networks and Fuzzy Systems

Data Mining in Dynamic Social Networks and Fuzzy Systems

Author: Bhatnagar, Vishal

Publisher: IGI Global

Published: 2013-06-30

Total Pages: 412

ISBN-13: 1466642149

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Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.


Social Computing and Social Media: Design, User Experience and Impact

Social Computing and Social Media: Design, User Experience and Impact

Author: Gabriele Meiselwitz

Publisher: Springer Nature

Published: 2022-06-16

Total Pages: 694

ISBN-13: 3031050614

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This two-volume set LNCS 13315 and 13316 constitutes the refereed proceedings of the 14th International Conference on Social Computing and Social Media, SCSM 2022, held as part of the 24rd International Conference, HCI International 2022, which took place in June-July 2022. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 275 posters included in the 40 HCII 2022 proceedings volumes was carefully reviewed and selected from 5583 submissions. The papers of SCSM 2022, Part I, are organized in topical sections named: design and user experience in social media and social live streaming; text analysis and AI in social media; social media impact on society and business.


Behavior Dynamics in Media-Sharing Social Networks

Behavior Dynamics in Media-Sharing Social Networks

Author: H. Vicky Zhao

Publisher: Cambridge University Press

Published: 2011-04-14

Total Pages: 351

ISBN-13: 1139500023

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In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services.