Ubicon and its applications for ubiquitous social computing

Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen; Stumme, Gerd

doi:10.1080/13614568.2013.873488

Cited by 34 publications

(15 citation statements)

References 23 publications

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“…Experience showed (Atzmueller et al 2014) that people are more motivated to wear such tags-in particular over a longer period of days or even weeks-if they gain a personal benefit. The SocioPatterns platform has been utilized in different scenarios, for example, for tracking conference attendees (Alani et al 2009).…”

Section: Observing Encounters and Activitiesmentioning

confidence: 99%

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Observing Human Activity Through Sensing

Gautama

Atzmueller

Kostakos

et al. 2016

Understanding Complex Systems

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Section: Observing Encounters and Activitiesmentioning

confidence: 99%

“…Both systems are built using the Ubicon software platform, see (Atzmueller et al 2014). It aims at enhancing ubiquitous and social networking, and enables the observation of physical and social activities.…”

Section: Observing Encounters and Activitiesmentioning

confidence: 99%

Observing Human Activity Through Sensing

Gautama

Atzmueller

Kostakos

et al. 2016

Understanding Complex Systems

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“…Ubicon 3 is an open source platform 4 which provides an extensible framework for building and hosting applications targeting both ubiquitous and social environments [2,3].…”

Section: Ubiconmentioning

confidence: 99%

Mining Groups Stability in Ubiquitous and Social Environments

Kibanov

2015

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining

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Ubiquitous Computing is an emerging research area of computer science. Similarly, social network analysis and mining became very important in the last years. We aim to combine these two research areas to explore the nature of processes happening around users.The presented research focuses on exploring and analyzing different groups of persons or entities (communities, clusters and classes), their stability and semantics. An example of ubiquitous social data are social networks captured during scientific conferences using face-to-face RFID proximity tags. Another example of ubiquitous data is crowdgenerated environmental sensor data. In this paper we generalize various problems connected to these and further datasets and consider them as a task for measuring group stability. Group stability can be used to improve state-of-theart methods to analyze data. We also aim to improve the performance of different data mining algorithms, e. g., by better handling of data with a skewed density distribution. We describe significant results some experiments that show how the presented approach can be applied and discuss the planned experiments.

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“…A major task for every conference attendee is the selection of talks relevant to his research. Conference guidance systems such as Conference Navigator [28] and CONFERATOR 1 [3], support this with the possibility of creating a personalized schedule. Picking talks manually, however, may become complex due to the large amount of available talks at a conference.…”

Section: Introductionmentioning

confidence: 99%

On the predictability of talk attendance at academic conferences

Scholz

Illig

Atzmueller

et al. 2014

Proceedings of the 25th ACM Conference on Hypertext and Social Media

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This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study the predictability of talk attendances using real-world tracked face-to-face contacts. Furthermore, we investigate and discuss the predictive power of user interests extracted from the users' previous publications. We apply Hybrid Rooted PageRank, a stateof-the-art unsupervised machine learning method that combines information from different sources. Using this method, we analyze and discuss the predictive power of contact and interest networks separately and in combination. We find that contact and similarity networks achieve comparable results, and that combinations of different networks can only to a limited extend help to improve the prediction quality.For our experiments, we analyze the predictability of talk attendance at the ACM Conference on Hypertext and Hypermedia 2011 collected using the conference management system CONFERATOR.

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Ubicon and its applications for ubiquitous social computing

Cited by 34 publications

References 23 publications

Observing Human Activity Through Sensing

Observing Human Activity Through Sensing

Mining Groups Stability in Ubiquitous and Social Environments

On the predictability of talk attendance at academic conferences

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