  This paper studies an integrated system of political and economic systems
from a systematic perspective to explore the complex interaction between them,
and specially analyzes the case of the US presidential election forecasting.
Based on the signed association networks of industrial structure constructed by
economic data, our framework simulates the diffusion and evolution of opinions
during the election through a kinetic model called the Potts Model. Remarkably,
we propose a simple and efficient prediction model for the US presidential
election, and meanwhile inspire a new way to model the economic structure.
Findings also highlight the close relationship between economic structure and
political attitude. Furthermore, the case analysis in terms of network and
economy demonstrates the specific features and the interaction between
political tendency and industrial structure in a particular period, which is
consistent with theories in politics and economics.
