An Algorithm of Employment Resource Allocation for College Students Based on Social Network Mining

Aiming at the current uneven distribution of employment resources and poor accuracy of college students, social network mining is applied to the design of college students’ employment resource allocation algorithm, and a college student employment resource allocation algorithm based on social network mining is proposed. First, build an LTE (Long Term Evolution) system. LTE interference suppression is performed through inter-cell interference randomization technology, inter-cell interference cancellation technology, and inter-cell interference coordination technology. Construct a resource allocation model based on the constructed LTE system, and the constructed resource allocation model is a continuous decision model. In terms of resource allocation, virtual machines can be simulated and placed through the established energy consumption model and performance loss model, so the state value can be obtained through the Monte Carlo method. Based on social network mining, according to the constructed resource allocation model and the obtained state value, the employment resource allocation algorithm for college students is realized. Experiments verify that this method has short task scheduling time, better resource allocation accuracy and efficiency, and it can optimize the allocation of employment resources for college students to a certain extent.