| Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 17, Iss. 1, Jan, 2013, pp. 159-172 @2013 Society for Chaos Theory in Psychology & Life Sciences Estimating Population Ecology Models for the WWW Market: Evidence of Competitive Oligopolies Abstract: 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. Keywords: website, competition dynamics, Lotka-Volterra, particle filtering, Google Trends |