Big Data Research ›› 2020, Vol. 6 ›› Issue (6): 0-.doi: 10.11959/j.issn.2096-0271.2020059

• APPLICATION •     Next Articles

Research on person-position relationship based on relation graph

Xiaoping WANG1,Mengjie GUO2,3,Jingwen YUE2,3   

  1. 1 Shanghai Municipal Commission of Economy and Informatization,Information Center,Shanghai 200125,China
    2 School of Computer Science,Fudan University,Shanghai 201203,China
    3 Shanghai Key Laboratory of Data Science,Shanghai 201203,China
  • Online:2020-11-15 Published:2020-12-12
  • Supported by:
    The National Natural Science Foundation of China(1636207);The National Natural Science Foundation of China(6167115);The Foundation of Shanghai Municipal Commission of Economy and Informatization(201859971904)

Abstract:

Utilizing the existing data to further analyze and help leaders organize their work is a potential and challenging direction.According to the characteristics of leader information data,the leadership team was analyzed using the person-position relationship judgment method based on relation graph,a relation graph was built by integrating the leader resume and the multi-source information from the database.Then the information such as nodes and relationships in the relation graph extracted by the network representation learning method was used as features to input into the classification model.By using the proposed model,the relationship between people and positions can be inferred.The experimental results show that the method based on relation graph can well capture the complex relationship between people and positions,and can accurately judge the person-position relationship.

Key words: analysis on person-position relationship, relation graph, network representation learning, big data

CLC Number: 

No Suggested Reading articles found!