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For all telecommunication providers, using the call details record (CDR), it is quite easy to measure the level and strength of interaction across areas of coverage. Such measurement enables the providers to make further decisions regarding sales, promotions and engineering details to improve the quality of service amongst other things.
In this spark graphx project, we will be doing an analysis of the level and strength of interactions between different areas in the city of Milan. Our dataset for this big data project include datasets from Dandelion Open big data website which contains aggregated anonymized call records based on the calls exchanged between Telecom Italia Mobile users.
In this big data project, we will look at how to mine and make sense of connections in a simple way by building a Spark GraphX Algorithm and a Network Crawler.
In this Neo4j project, you will do network analysis using a graph database to find patterns on how a social network affects business reviews and ratings.