Abstract—Information system is a typical complex system with a
great number of agents. With the current wave of Web 2.0, this
concept has been widely mentioned. This paper has fully
considered the complex interactions among agents in information
system, and defines the generalized entropy of the system.
Physical laws for the evolution dynamics of information system
are expressed as the maximum generalized entropy principle
(MGEP), that is to say, every system always follows an
optimization process so that the generalized entropy of the whole
information system is maximal under the given constraints.
Nonlinear dynamic equation for information system is
accordingly derived. Based on typical examples of China Internet
system, simulations on the evolution of information system are
conducted to show the dynamic process, by which profound
discussions and analyses are provided. Thus, a new framework
for studying the evolution and development of information
system is obtained.