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Social Network Analysis Utilizing Big Data Technologies
The big data movement has generated a lot of new ways & platforms for storing and analyzing data. The main strategy is to use commodity HW and support scalability by map-reduce and NoSQL (e.g. graph db)-technology.
This thesis involves investigating and developing solutions to analyze the social network derived from traffic data in the telecom network. The main focus is to investigate how the big data technologies can be used for Social Network Analysis.
The thesis includes:
Analyzing how methods and algorithms for Social Network Analysis are impacted by big data technologies. Propose needed modifications of the algorithms
Analyze available open source big data frame works and identify the most suitable frame works and propose any needed extension
Implementing a first version of the proposed solution in a demonstrator system
MSc studies in computer science or related area
Good knowledge of mathematical analysis and algorithms
Good skills in the Java programming language
Fluency in English is a must
You need to be self-motivated, innovative, creative and able to work independently and learn quickly. In return, you will get to work with cutting-edge technology in a stimulating learning environment and with a team that wants to make a difference
Work location: Stockholm/Kista
If you are interested you should apply via provided Ericsson link. Please state in your application when you can start.
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.