| Storing and Analyzing Social Data |
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| Written by Nicolas Ruflin |
| Sunday, 17 April 2011 22:04 |
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Von Juli 2010 bis Dezember 2010 habe ich an meiner Master Arbeit geschrieben. Der Titel der Masterarbeit lautet "Storing and Analyzing Social Data". Ich habe mich mit der Struktur von Social Data, die Möglichkeiten wie man Social Data speichern kann (z.B. NoSQL Solutions) und dem Processing von Social Data beschäftigt. Wer an diesen Themen interessiert ist, kann die Arbeit hier herunterlanden. Für eine Kurzübersicht hier das Abstract der Arbeit und unten das PDF direkt im Browser eingebunden. AbstractSocial platforms such as Facebook and Twitter have been growing exponentially in the last few years. As a result of this growth, the amount of social data increased enormously. The need for storing and analyzing social data became crucial. New storage solutions – also called NoSQL – were therefore created to fulfill this need. This thesis will analyze the structure of social data and give an overview of cur- rently used storage systems and their respective advantages and disadvantages for differently structured social data. Thus, the main goal of this thesis is to find out the structure of social data and to identify which types of storage systems are suit- able for storing and processing social data. Based on concrete implementations of the different storage systems it is analyzed which solutions fit which type of data and how the data can be processed and analyzed in the respective system. A focus lies on simple analyzing methods such as the degree centrality and simplified PageRank calculations. Master ThesisStoring and Analyzing Social Data |





















