Year: 2014
Type: dissertation
Abstract: [ANGLÈS] Nowadays, social network services play a very important role in the way people interact with each other and with the world. This generates big amounts of data that can be used to study social relationships and extract useful information about preferences and trends. When analysing this information, two main problems emerge: The need to aggregate dif- ferent data coming from multiple sources, and hardware limitations due to the incapability traditional systems have to deal with large amounts of data. In order to solve the problems mentioned before, this project aims to implement a distributed, scalable social media analysis tool, ready to connect and gather data from multiple sources and show the aggregated results in real-time.
Author: Daniel Cea Royes
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W300861626