Abstract
Because mutual support didn't make its effect in aging China, this work aims at finding out the factors that affect the elderly's participation in mutual support. We propose the influencing factors model using text mining to identify the main factors from massive data sources and analyze their evolutions. The model exhibits: environmental factors, individual factors, project attributes and incentive utility influence the elderly's participation willingness in mutual support. Then, based on the model, we propose some suggestions to promote the elderly to participate in mutual support, and to provide reference for policy makers.