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Journal ArticleDOI

Systemic Concentration in Sponsored Search Markets: The Role of Time Window in Click-Through-Rate Computation

TLDR
This research, using agent-based simulation of SSM, investigates the role of “market rules” and “advertiser practices” in generating emergent click share heterogeneity among advertisers in an industry.
Abstract
Keyword-based search engine advertising markets on the Internet, referred to as Sponsored Search Markets (SSMs), have reduced entry barriers to advertising for niche players. Known empirical research, though scant and emerging, suggests that while these markets provided niche firms with greater access, they do exhibit high levels of concentration—a phenomenon that warrants further study. This research, using agent-based simulation of SSM, investigates the role of “market rules” and “advertiser practices” in generating emergent click share heterogeneity among advertisers in an industry. SSMs often rank ads based on the click-through rate (CTR) that gives rise to reinforcing dynamics at an individual keyword level. In the presence of spillovers arising from advertisers’ practice of managing keyword bids with a cost cap operating on the keyword portfolio, these reinforcing dynamics can endogenously generate industry-level concentration. Analysis of counterfactual markets with different window sizes used to compute CTR reveals that industry-level concentration bears an inverted-“U” relationship with window size.

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A Computational Laboratory for Evolutionary Trade Networks

TL;DR: The trade network game laboratory (TNG Lab) as mentioned in this paper is targeted for the Microsoft Windows desktop and allows the visualization of the formation and evolution of trade networks by means of real-time animations.
Journal ArticleDOI

Aggregate effects of advertising decisions: A complex systems look at search engine advertising via an experimental study

TL;DR: This is one of the first research works to explore collective group decisions and resulting phenomena in the complex context of search engine advertising via developing and validating a simulation framework that supports assessments of various advertising strategies and estimations of the impact of mechanisms on the search market.
Journal ArticleDOI

Integrating Keyword Segmentation and Budget Allocation Decisions in Sponsored Search Advertising: An Exploratory Simulation Study

TL;DR: In this article , a simulation model that integrates the complex issues involved in keyword segmentation and campaign organization is used to evaluate performance of various budget allocation strategies and evaluate their performance implications for different firms.
References
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Journal ArticleDOI

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TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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Simulation Modeling and Analysis

TL;DR: The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Journal ArticleDOI

Finding community structure in very large networks.

TL;DR: A hierarchical agglomeration algorithm for detecting community structure which is faster than many competing algorithms: its running time on a network with n vertices and m edges is O (md log n) where d is the depth of the dendrogram describing the community structure.
Journal ArticleDOI

Increasing Returns, Path Dependence, and the Study of Politics

TL;DR: In this paper, the authors conceptualized path dependence as a social process grounded in a dynamic of increasing returns, and demonstrated that increasing returns processes are likely to be prevalent and that good analytical foundations exist for exploring their causes and consequences.
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