Towards context-aware social behavioral analytics

Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The confluence of technological and societal advances, and more specifically, engagement with Web, social media, and smart devices has the potential to affect the mental behavior of the individuals. Examples include extremist and criminal behaviors such as radicalization and cyber-bullying, which are causing serious issues for humanity. Major barriers to the effective understanding of behavioral disorders on social networks includes the ability to understand the content and context of social documents, as well as the activity of social users. Understanding the patterns of behavioral disorders (e.g., criminal and extremist activities) on social networks, is challenging and requires techniques to contextualize the content of social documents based on the time-aware analysis of personality, behaviour and past activities of social users. In this context, semantic information extraction and enrichment from social documents has the potential to become a vital asset to explore the sign of behavioral disorders and prevent serious issues such as cyber-bullying, suicidal related behavior and radicalization. To address this challenge, in this paper, we present a novel social document analysis pipeline to enable analysts engage with social documents (e.g., a Tweet in Twitter or a post on Facebook) to explore cognitive aspects of behavioral disorders. We implement the pipeline as an extensible and scalable architecture and present the evaluation results.
Original languageEnglish
Title of host publication17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
EditorsPari Delir Haghighi, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
Place of PublicationNew York, New York
PublisherAssociation for Computing Machinery (ACM)
Pages28–35
Number of pages8
ISBN (Print)9781450371780
DOIs
Publication statusPublished - 2019
EventInternational Conference on Advances in Mobile Computing & Multimedia (17th : 2019) - Munich, Germany
Duration: 2 Dec 20194 Dec 2019

Conference

ConferenceInternational Conference on Advances in Mobile Computing & Multimedia (17th : 2019)
Abbreviated titleMoMM2019
CountryGermany
CityMunich
Period2/12/194/12/19

Keywords

  • Behavioral Analytics
  • Context-aware Applications
  • Data Curation

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