Local Exceptionality Detection on Social Interaction Networks

Atzmueller, Martin

doi:10.1007/978-3-319-46131-1_39

Local Exceptionality Detection on Social Interaction Networks

Martin Atzmueller

ECML-PKDD 2016 pp. 298-302

doi:10.1007/978-3-319-46131-1_39 /ecmlpkdd/2016/atzmueller2016ecmlpkdd-local/

Abstract

Local exceptionality detection on social interaction networks includes the analysis of resources created by humans (e. g., social media) as well as those generated by sensor devices in the context of (complex) interactions. This paper provides a structured overview on a line of work comprising a set of papers that focus on data-driven exploration and modeling in the context of social network analysis, community detection and pattern mining.

PDF ECML-PKDD Semantic Scholar

Cite

Text

Atzmueller. "Local Exceptionality Detection on Social Interaction Networks." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_39

Markdown

[Atzmueller. "Local Exceptionality Detection on Social Interaction Networks." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/atzmueller2016ecmlpkdd-local/) doi:10.1007/978-3-319-46131-1_39

BibTeX

@inproceedings{atzmueller2016ecmlpkdd-local,
  title     = {{Local Exceptionality Detection on Social Interaction Networks}},
  author    = {Atzmueller, Martin},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2016},
  pages     = {298-302},
  doi       = {10.1007/978-3-319-46131-1_39},
  url       = {https://mlanthology.org/ecmlpkdd/2016/atzmueller2016ecmlpkdd-local/}
}