Cognitive exploration of regions through analyzing geo-tagged social media data

Yunzhe Wang, George Baciu, Chenhui Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Social media has now become a pervasive global communication channel. Many applications and platforms have become available for users to post messages, follow friends and share experiences. Due to the high frequency with which users update their states, a large amount of data is being generated around the world every second. By analyzing this data, valuable patterns can be extracted such as the distribution of users, their common interests, activities, locations visited, etc. In this paper, we focus on the cognitive exploration of photo sharing data. Traditionally, each photo sharing record comes with information about the location where the photo was taken, a timestamp, and potentially some description about the photo. Therefore, we can often deduce the features of photo-spots. Spots with similar features constitute a region of cognitive interest. The primary goal of this paper is to identify these regions and allow users to explore into regions of interest by cognitive understanding of their features and patterns of feature propagation in time. To achieve this goal, we propose an approach that makes use of semantic analysis in big data sets, data clustering, and cognitive visualization design issues. Our contributions are two-fold. First, we put forward a novel social-media data classification method. This is based on cognitive semantic analysis. Second, we suggest a new method to explore social activity maps by discovering regions of cognitive interest. In this paper, we introduce the design of an interactive visualization interface which projects photo sharing data to cognitive social activity map components. Experiments are performed on the Flickr dataset.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
PublisherIEEE
Pages59-64
Number of pages6
ISBN (Electronic)9781538607701
DOIs
Publication statusPublished - 14 Nov 2017
Event16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 - University of Oxford, Oxford, United Kingdom
Duration: 26 Jul 201728 Jul 2017

Conference

Conference16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
CountryUnited Kingdom
CityOxford
Period26/07/1728/07/17

Keywords

  • cognitive visualization
  • data mining
  • machine learning
  • photo tag
  • region discovery
  • semantic analysis
  • Social media

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Information Systems
  • Computer Science (miscellaneous)

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