Analysis of Internet services as Biological Evolution systems
This project is to unravel the extent to which web systems can become life systems. There are interesting "fluctuation" and "response" relationships, but we are looking for evolutionary novelties that go beyond such statistical mechanical properties. For example, we have shown that web services are evolving toward a critical state (such that a single post can have a large spillover). At the same time, we observed that user groups were creating distinctive group structures. By comparing tagging services, we found a phenomenon that cannot be explained by a simple mathematical model (Yule-Simon model). In particular, the creation of "meaning" on the Web is not the evolution of new tags, but the evolution of combinations of tags. In particular, by bringing in parent-child relationships between posts, he has drawn an evolutionary genealogy of 400 weeks of data and analyzed it.
Takashi Ikegami, Yasuhiro Hashimoto and Mizuki Oka. Open-Ended Evolution and a Mechanism of Novelties in Web Services. Artificial Life, 2019 25:2, pp.168-177.
Takashi Ikegami, Mizuki Oka: Massive Data Flows: Self-organization of energy, material, and information flows. 6th International Conference on Agents and Artificial Intelligence ICAART 2014, pp. 237-242, 2014.