Along with enlargement of the Web, intellectual work conducted on it has been diversified and advanced. Accordingly, human relationships on the Web has gradually complicated. It is clearly beneficial to satisfactorily understand such human relationships. However, it has become difficult more and more to understand such relationships since human connections has been complicated together with advancement of the work on the Web. Although there have exist many research projects on visualization of human relation networks, most existing methods can handle only static relationships. In this research, we develop methods for visualizing change of human relationships on the basis of analysis of term appearance in Web pages accumulated at multiple timing. This paper describes overview of our methods with the example.