Mining of leaders in mobile telecom social networks

In the age of Big Data, the social network data collected by telecom operators are growing exponentially. How to exploit these data and mine value from them is an important issue. In this article, an accurate marketing strategy based on social network is proposed. The strategy intends to help teleco...

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Bibliographic Details
Published in2016 Wireless Telecommunications Symposium (WTS) pp. 1 - 4
Main Authors Ye Ouyang, Huet, Alexis, Mantian Hu, Xingshuai Sun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2016
Subjects
Algorithm design and analysis
Communication networks
complex network
Complex networks
Mobile communication
PageRank
social network
Social network services
Spark
Sparks
telecom big data
Telecommunications
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Summary:In the age of Big Data, the social network data collected by telecom operators are growing exponentially. How to exploit these data and mine value from them is an important issue. In this article, an accurate marketing strategy based on social network is proposed. The strategy intends to help telecom operators to improve their marketing efficiency. This method is based on mutual peers' influence in social network, by identifying the influential users (leaders). These users can promote the information diffusion prominently. A precise marketing is realized by taking advantage of the user's influence. Data were collected from China Mobile and analyzed. For the massive datasets, the Apache Spark was chosen for its good scalability, effectiveness and efficiency. The result shows a great increase of the telecom traffic, compared with the result without leaders identification.
DOI:10.1109/WTS.2016.7482054