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Estimating Population Ecology Models for the WWW Market: Evidence of Competitive Oligopolies

机译:估算WWW市场的人口生态模型:竞争寡头的证据

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This paper proposes adapting a particle filtering algorithm to model online Spanish real estate and job search market segments based on the Lotka-Volterra competition equations. For this purpose the authors use data on Internet information searches from Google Trends to proxy for market share. Market share evolution estimations are coherent with those observed in Google Trends. The results show evidence of low website incompatibility in the markets analyzed. Competitive oligopolies are most common in such low-competition markets, instead of the monopolies predicted by theoretical ecology models under strong competition conditions.
机译:本文提出了一种基于Lotka-Volterra竞争方程的粒子滤波算法,以对西班牙在线房地产和求职市场细分进行建模。为此,作者使用来自Google趋势的Internet信息搜索数据来代表市场份额。市场份额的演变估计与Google趋势中观察到的一致。结果表明,在所分析的市场中网站不兼容率较低的证据。在这种低竞争的市场中,竞争性寡头最常见,而不是在强竞争条件下理论生态模型所预测的垄断。

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