Social media and social networks have already woven themselves into the very
fabric of everyday life. This results in a dramatic increase of social data
capturing various relations between the users and their associated artifacts,
both in online networks and the real world using ubiquitous devices. In this
work, we consider social interaction networks from a data mining perspective -
also with a special focus on real-world face-to-face contact networks: We
combine data mining and social network analysis techniques for examining the
networks in order to improve our understanding of the data, the modeled
behavior, and its underlying emergent processes. Furthermore, we adapt, extend
and apply known predictive data mining algorithms on social interaction
networks. Additionally, we present novel methods for descriptive data mining
for uncovering and extracting relations and patterns for hypothesis generation
and exploration, in order to provide characteristic information about the data
and networks. The presented approaches and methods aim at extracting valuable
knowledge for enhancing the understanding of the respective data, and for
supporting the users of the respective systems. We consider data from several
social systems, like the social bookmarking system BibSonomy, the social
resource sharing system flickr, and ubiquitous social systems: Specifically, we
focus on data from the social conference guidance system Conferator and the
social group interaction system MyGroup. This work first gives a short
introduction into social interaction networks, before we describe several
analysis results in the context of online social networks and real-world
face-to-face contact networks. Next, we present predictive data mining methods,
i.e., for localization, recommendation and link prediction. After that, we
present novel descriptive data mining methods for mining communities and
patterns.
Friendlink: Link prediction in social networks via bounded local path traversal
19 Documents citing this article
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Atzmueller, Martin, 2014, Analyzing And Grounding Social Interaction In Online And Offline Networks, Machine Learning And Knowledge Discovery In Databases, pp. 485-488, 10.1007/978-3-662-44845-8_41.
Atzmueller, Martin, 2017, Descriptive Community Detection, Formal Concept Analysis Of Social Networks, pp. 41-58, 10.1007/978-3-319-64167-6_3.
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Atzmueller, Martin; Schmidt, Andreas; Kloepper, Benjamin; Arnu, David, 2017, HypGraphs: An Approach For Analysis And Assessment Of Graph-Based And Sequential Hypotheses, New Frontiers In Mining Complex Patterns, pp. 231-247, 10.1007/978-3-319-61461-8_15.
Atzmueller, Martin; Thiele, Lisa; Stumme, Gerd; Kauffeld, Simone, 2016, Analyzing Group Interaction And Dynamics On Socio-Behavioral Networks Of Face-To-Face Proximity, Proceedings Of The 2016 ACM International Joint Conference On Pervasive And Ubiquitous Computing: Adjunct, 10.1145/2968219.2968437.
AtzmĂźller, Martin, 2016, Advances In Exploratory Pattern Analytics On Ubiquitous Data And Social Media, Solving Large Scale Learning Tasks. Challenges And Algorithms, pp. 184-207, 10.1007/978-3-319-41706-6_9.
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Gibson, Jenny Louise; Centeio Jorge, Carolina; Atzmueller, Martin; Heravi, Behzad M.; De Sรก, Clรกudio Rebelo; Rossetti, Rosaldo J. F., 2019, Mining Exceptional Social Behaviour, Progress In Artificial Intelligence, pp. 460-472, 10.1007/978-3-030-30244-3_38.
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Lampezhev, Abas H.; Alexandrov, Islam A.; Gorelov, Victor A., 2021, Automated Analysis Of Big Data From Social Networks As A Way To Compile A Psychological Portrait Of A Personality, 2021 International Conference On Quality Management, Transport And Information Security, Information Technologies (IT&QM&IS), 10.1109/itqmis53292.2021.9642901.
Merino, Sebastiaan; Atzmueller, Martin, 2019, Multimodal Behavioral Mobility Pattern Mining And Analysis Using Topic Modeling On GPS Data, Behavioral Analytics In Social And Ubiquitous Environments, pp. 68-88, 10.1007/978-3-030-34407-8_4.
Shayan, Parisa; Rondinelli, Roberto; Van Zaanen, Menno; Atzmueller, Martin, 2019, Descriptive Network Modeling And Analysis For Investigating User Acceptance In A Learning Management System Context, Proceedings Of The 23Rd International Workshop On Personalization And Recommendation On The Web And Beyond - ABIS '19, 10.1145/3345002.3349288.
Sternberg, Eric; Atzmueller, Martin, 2018, Knowledge-Based Mining Of Exceptional Patterns In Logistics Data: Approaches And Experiences In An Industry 4.0 Context, Lecture Notes In Computer Science, pp. 67-77, 10.1007/978-3-030-01851-1_7.
Yanying, Yang, 2022, Application Of Data Mining System In User Network Environment Based On SVM Optimization Algorithm, Mobile Information Systems, 2022, pp. 1-10, 10.1155/2022/7202172.