On April 20 and 21, 2018, CDA data analysts carried out an activity with the theme of "complex network analysis" in the risk management department of the China Merchants Bank Credit Card Center (Shanghai Card Center), targeting the risk control management department of the China Merchants Bank Credit Card Center , Data modeling department, policy decision-making department, etc., a total of more than 20 employees have carried out internal skills upgrading. The event on April 21 was a complete success.

Company Introduction

China Merchants Bank Credit Card Center

China Merchants Bank Credit Card Center was established in December 2001, and its headquarters is located in Shanghai, under the head office of China Merchants Bank.

Adhering to the service concept and innovative spirit of the head office "changing with you", it has been widely recognized by users around the world for its high-quality services, rich products and convenient functions. Created a series of "firsts" and miracles, and became the most influential credit card issuer in China, and was selected as a classic case of "Harvard Business School" with outstanding achievements in credit card management and operation.

The China Merchants Bank Credit Card Center adopts a centralized operation nationwide. It is the first domestic credit card center that operates independently in accordance with international standards in a true sense, and truly realizes the integration and professional services of credit cards. While refreshing each credit card record, we continue to uphold the "change for you" concept, actively explore the market, expand market alliances, deepen market segmentation, increasingly enrich and improve credit card functions, and become China's most innovative joint-stock business One of the banks.

brief introduction

Lecture 1
The history of the graph theory of the Euler Seven BridgesThe development history of complex network analysisThe development history of graph theory and the main concerns
Lecture 2
The basic knowledge of Python programming, graph theory, related programming practices, the status of complex network analysis, and the main concerns. The concept and calculation of clustering coefficients in small worlds and scale-free complex networks
The ER, WS, BA network generation model uses Python to actually generate the network

Lecture 3
Other generative models that produce robust and susceptible complex network topologies with specific topological properties. The homogenous concept of complex networks and the calculation of community structures for complex networks with strength calculation of weakly connected edges Method and evaluation of link prediction symbol network analysis
Lecture 4
Visualization of the Network
SI, SIS, SIR model linear threshold model, cascading model above model properties, relationships and differences between the above models in Python

Student evaluation
Through this activity, the students praised Mr. Zhang's course. Some students said that the CDA's course design is clear, the content is interlocking, and it is very practical; some students said that Teacher Zhang is eloquent and has a clear view, which provides a lot of inspiration and help for the work.