Affiliations: International WIC Institute, Beijing University of
Technology, Beijing, China | Department of Computer Science, Hong Kong Baptist
University, Kowloon Tong, HongKong. E-mail: Jiming@comp.hkbu.edu.hk | Department of Life Science and Informatics, Maebashi
Institute of Technology, Japan
Abstract: In recent years, immunization strategies have been developed for
stopping epidemics in complex-network-like environments. Yet it still remains a
challenge for existing strategies to deal with dynamically-evolving networks
that contain community structures, though they are ubiquitous in the real
world. In this paper, we examine the performances of an autonomy-oriented
distributed search strategy for tackling such networks. The strategy is based
on the ideas of self-organization and positive feedback from Autonomy-Oriented
Computing (AOC). Our experimental results have shown that autonomous entities
in this strategy can collectively find and immunize most highly-connected nodes
in a dynamic, community-based network within a few steps.
