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DOI: 10.14569/IJACSA.2020.0110863
PDF

A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform

Author 1: M. M. Abo Khedra
Author 2: A. A. Abd EL-Aziz
Author 3: Hedi HAMDI
Author 4: Hesham A. Hefny

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 8, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Social Network Analysis measures the interconnection between humans, entities or communities and the streaming of messages between them. This kind of Analysis studies the relationship between different people in a very deep way; it shows how one node (subscriber) in the network can affect the others. This research studies the connections between the customers in many different ways to help any telecom operator increase the cross and up-selling of its products and services as follows: detect communities of subscribers which are a group of nodes collected together to form a community, identify the connection types and label the links between the customers as (business, friends , family and others), as well as identifying the top influencers in the network who can spread positive or negative messages about products and services provided by the company through communities in the network and determine off-net customers who can be acquired to be targeted by specific marketing campaigns. A real cell phone dataset of 116 Million call detailed records of SMS and Voice Calls of an Egyptian Communication Service Provider (CSP) is used.

Keywords: SNA; influencer; acquisition; community detection; link prediction; call detailed record; on-net node; off-net node

M. M. Abo Khedra, A. A. Abd EL-Aziz, Hedi HAMDI and Hesham A. Hefny, “A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform” International Journal of Advanced Computer Science and Applications(IJACSA), 11(8), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110863

@article{Khedra2020,
title = {A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110863},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110863},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {8},
author = {M. M. Abo Khedra and A. A. Abd EL-Aziz and Hedi HAMDI and Hesham A. Hefny}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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