Routing the Social Graphs for the Large-Scale Heterogeneous Information Accessing

The paper proposes a series of novel routing algorithms to the issue of accessing the large-scale heterogeneous information over the Internet. Different from traditional ones, the perspectives of the routing are updated in terms of the quality of information accessing, the types of resources, the dominant driver and the expected consequences. The human capital is connected to form the social capital to resolve the routing problems. Although the human capital dominates the particular information system, it is difficult to capture it to fulfill requirements of users. For that, the social capital, which is shaped in the three graphs, i.e., the data, the channel and the human, is leveraged to perform the primary tasks since the human capital is difficult to be exploited directly. Those graphs represent the comprehensive perspectives to the environment and they are constructed in accordance with users' information accessing behaviors. In the early phase, the seed graphs are constructed to initialize the system. The routing does not expect to find their exactly required information resources. Instead, it aims to provide users with relevant consequences through exploring the nearby human capital.