6th International Workshop on Mining Actionable Insights from Social Networks

Special Edition on

Healthcare Social Analytics

Welcome

Welcome to the 6th International workshop on Mining Actionable Insights from Social Networks (MAISoN 2021) - Special Edition on Healthcare Social Analytics. The workshop takes place on Jun 7 and is co-located with The the 15th The International AAAI Conference on Web and Social Media (ICWSM 2021), which will be a fully virtual conference.

Call for papers. In this workshop, we aim to to invite and gather researchers and practitioners from across the world and, in particular, from different disciplines, such as information retrieval, data mining, machine learning, data science, network science, social network analysis and other related areas to share their ideas and research achievements in order to deliver technology and solutions for healthcare social analytics.

We solicit original, unpublished and innovative research work on all aspects related to the topics of this workshop. The deadline for submissions of articles is March 27, 2021.

Submission:

https://easychair.org/conferences/?conf=maison2021

Notifications will be sent out on April 10, 2021.

Previous editions. The previous 5 editions of MAISoN took place at large flagship conferences in web search, data mining, machine learning, artificial intelligence and information retrieval: ACM WSDM 2017, IJCAI 2018, ACM ICTIR 2019, The WebConf 2020 and CIKM 2020. They featured talks from various renowned keynote speakers on timely topics such as causal analysis, social influence spread and social bots. In addition, each workshop had an associated journal special issue, including special issues with high impact journals such as Elsevier Information Systems, Elsevier Information Processing & Management and the Springer Information Retrieval Journal.

News

  • [2021-02-03] The website is now live!

Previous Editions

Santa Clara, California (USA)

Co-located with ACM ICTIR 2019

Stockholm, Sweden

Co-located with IJCAI-ECAI 2018

Cambridge, United Kingdom

Co-located with ACM WSDM 2017