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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.

Social Network Analysis determines the relationships between people, organizations, groups or entities and the flow of information between them. A literature review is done for social network analysis and the prediction of links that could be done in future between the different entities within the network, many use cases are shown here for applying Social Network Analysis in different industries. This survey introduces different approaches to anticipating the connection between nodes in the social network. It will also support future research and development work as well as raising the awareness for the presented approaches.