Social Networks and Questions of Big Data. Graph search for communities with corresponding keywords (eBook)

Andrea Attwenger (Autor)

eBook Download: PDF

2017 | 1. Auflage
GRIN Publishing (Verlag)
978-3-668-47175-7 (ISBN)

Infos

Seminar paper from the year 2017 in the subject Computer Science - Internet, New Technologies, grade: 1.3, LMU Munich (Institut für Informatik), course: Recent Developments in Data Science, language: English, abstract: This essay deals with a graph search for communities with corresponding keywords.

The era of big data and world-spanning social networks has highlighted the necessity of ways to make sense of this vast amount of information. Data can be arranged in a graph of connected vertices, therefore giving it a basic structure. If the vertices are further described by keywords, the structure is called an attributed graph. This paper discusses a query algorithm that scans these attributed graphs for communities that are not only structurally linked - therefore forming subgraphs - but also share the same keywords. This method might give new insights into the composition of large networks, highlight interesting connections and give opportunities for effectively targeted marketing. As a specific use case, the idea of the attributed community query is applied to the example of a film recommendation program.

Produkt-Details

• Erscheint lt. Verlag: 27.6.2017
• Verlagsort: München
• Sprache: englisch
• Themenwelt: Informatik ► Web / Internet ► Social Web
• Schlagworte: Community • Data • Graph • Informatics • Mining • Network • Search • Social network
• ISBN-10: 3-668-47175-4 / 3668471754
• ISBN-13: 978-3-668-47175-7 / 9783668471757