Intendierte Lernergebnisse
Graduates of this module are able to be creative and methodical to deal correctly with a modern research in topic social networks and to present the result of this examination in a clearly understandable manner in writing and orally.
Lehrmethodik
Presentation of the results as part of a seminar paper and a lecture.
Inhalt/e
Modern research topics in social networks (open list):* Statistical properties of social networks* Random walks in social networks and their applications* Community discovery in social networks* Node classification in social networks* Evolution in social networks* Models and algorithms for social influence analysis* Algorithms and systems for expert location in social networks* Link prediction in social networks* Privacy in social network* Visualizing social networks* Data mining in social media* Text mining in social networks* Sensors and social networks integration* Multimedia information networks in social media* Social tagging and applications* Fake news propagation and detection in social networks* Recommender systems in social networks* Decentralized social networks
Erwartete Vorkenntnisse
Distributed systems, graph theory.
Curriculare Anmeldevoraussetzungen
Keine
Literatur
Charu C. Aggarwal, Social Network Data AnalyticsLink auf weitere Informationenhttps://link.springer.com/book/10.1007/978-1-4419-8462-3