NDLI: The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities

Content Provider	ACM Digital Library
Author	Matsubara, Yasuko Sakurai, Yasushi Faloutsos, Christos
Abstract	Given a large collection of co-evolving online activities, such as searches for the keywords "Xbox", "PlayStation" and "Wii", how can we find patterns and rules? Are these keywords related? If so, are they competing against each other? Can we forecast the volume of user activity for the coming month? We conjecture that online activities compete for user attention in the same way that species in an ecosystem compete for food. We present ECOWEB, (i.e., Ecosystem on the Web), which is an intuitive model designed as a non-linear dynamical system for mining large-scale co-evolving online activities. Our second contribution is a novel, parameter-free, and scalable fitting algorithm, ECOWEB-FIT, that estimates the parameters of ECOWEB. Extensive experiments on real data show that ECOWEB is effective, in that it can capture long-range dynamics and meaningful patterns such as seasonalities, and practical, in that it can provide accurate long-range forecasts. ECOWEB consistently outperforms existing methods in terms of both accuracy and execution speed.
Starting Page	721
Ending Page	731
Page Count	11
File Format	PDF
ISBN	9781450334693
DOI	10.1145/2736277.2741092
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Ecosystem Non-linear Time-series Parameter-free
Content Type	Text
Resource Type	Article

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The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities