Daisuke Katagami, Mizuki Takei, and Katsumi Nitta
We focus on the information spread in ad hoc communications, and propose a method of estimating process of word-of-mouth information spread based on analysis of the human network generated by using a contact history among people. This method extracts the cluster structure of people which changes according to the time-series and identifies the clusters including the people which transmitted information. The results of the experiments which applied the proposal method to the data generated by using an agent based simulation method shows that it becomes possible to estimate the information spread process from a connection among the clusters in the human network.
Keywords: ad hoc communications, word-of-mouth information, time-series data, human network