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20112021
most citedSequence Labeling: A Practical Approach

12 citations · 31 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.SI2019

Contributive Social Capital Extraction From Different Types of Online Data Sources

Sebastian Schams, Georg Groh

It is a recurring problem of online communication that the properties of unknown people are hard to assess. This may lead to various issues such as the spread of `fake news' from u…

cs.SI2015★ 2 cited

Mobile Homophily and Social Location Prediction

Halgurt Bapierre, Chakajkla Jesdabodi, Georg Groh

The mobility behavior of human beings is predictable to a varying degree e.g. depending on the traits of their personality such as the trait extraversion - introversion: the mobili…

cs.SI2014★ 1 cited

Reaching Consensus Among Mobile Agents: A Distributed Protocol for the Detection of Social Situations

Daniel Raumer, Christoph Fuchs, Georg Groh

Physical social encounters are governed by a set of socio-psychological behavioral rules with a high degree of uniform validity. Past research has shown how these rules or the resu…

cs.SI2014

An evaluation of keyword extraction from online communication for the characterisation of social relations

Jan Hauffa, Tobias Lichtenberg, Georg Groh

The set of interpersonal relationships on a social network service or a similar online community is usually highly heterogenous. The concept of tie strength captures only one aspec…

cs.SI2012

Spatio-Temporal Small Worlds for Decentralized Information Retrieval in Social Networking

Georg Groh, Florian Straub, Benjamin Koster

We discuss foundations and options for alternative, agent-based information retrieval (IR) approaches in Social Networking, especially Decentralized and Mobile Social Networking sc…

cs.SI2011

Interest-Based vs. Social Person-Recommenders in Social Networking Platforms

Georg Groh, Michele Brocco, Andreas Kleemann

Social network based approaches to person recommendations are compared to interest based approaches with the help of an empirical study on a large German social networking platform…