A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform
| Autor: | Hesham A. Hefny, A. A. Abd El-Aziz, M. M. Abo Khedra, Hedi Hamdi |
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| Rok vydání: | 2020 |
| Předmět: |
Interconnection
General Computer Science Computer science business.industry Node (networking) Big data Social network analysis (criminology) 02 engineering and technology Service provider Influencer marketing Telecom network 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Telecommunications |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 11 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2020.0110863 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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