Information and Communication Management

Social Media Analytics & Big Data

The topics related to Social Media Analytics and Big Data can be divided into four groups: technical data provision, technical data evaluation, technical data provision, technical data evaluation. The Business Intelligence and Analytics (BI&A) area of ​​business information systems can be divided into three evolutionary areas, similar to Web 1.0 - 3.0, namely BI&A 1.0 - 3.0. In the context of BI&A 1.0, DBMS-based topics, data warehousing, data mining, ETL and OLAP were dealt with. The main focus was on structured data. Furthermore, BI&A 2.0 refers to the analyzes and techniques that are applied to unstructured data. Among other things, social media / network analyzes, web analyzes as well as information acquisition and extraction are to be mentioned. Since the end of 2011, BI&A 3.0 has been understood to mean the analysis and evaluation of data from mobile devices and sensor data. Real-time analyzes related to the evaluation of location and context data represent important issues in addition to the visualization of big data and reveal previously unknown cause-effect relationships.

The topics of Big Data and Business Analytics in Information Systems Management have been a growing field of research since 2010. Analysis research can be classified into five technologically critical categories: big data analysis, text analysis, network analysis, web analysis and mobile analysis. At the moment, research is dealing a lot with mobile analyzes, which in turn can be subdivided into different areas of application (e.g. mobile sensor-controlled apps that measure the position and activity or mobile social networks and communities).


Scientific Papers and Studies

Studies and surveys:

  •      User acceptance studies of social networks
  •      Digital natives - use of social media and networks
  •      Social Event Recommendation - Use of social networks in leisure planning
  •      Trust building on the internet

see also current tenders.


Completed theses:

  • "Entwicklung eines Literaturrecherchetools" Emo Leumassi Ferdinand Fréderic
  • "Semantic Web: Automatische Datenerfassung und ontologie-basierte Informationsgewinnung heterogener digitaler Inhalte" Christopher Dahms
  • "Code-Recycling: Cross-Platform-Deployment von mobilen Applikationen für heterogene Zielsysteme" Michael Geiß
  • "Social Context Awareness im Semantic Web: Prototypische Implementierung zur Integration von sozialen Netzwerken" Peter Kolbe
  • "Research and Implementation of a Hybrid Recommender Framework for Events" Eric Tabot
  • "Soziale Netzwerke bei der Personalrekrutierung - Neue Methoden der Personalauswahl -" Julia Harder
  • "Entwurf und Implementierung einer Anwendung zur Klassifikation relevanter Kundensegmente im Online-Marketing mittels multivariater Analysemethoden" Michael Lewkowski
  • "Private Kommunikationsressourcen und -interessen im betrieblichen Umfeld - Eine qualitative Studie zum Phänomen der Entgrenzung" Paul Schalow