Fusing social media and mobile analytics for urban sense-making

The project was motivated by the observation that urban environments are increasingly characterized by a variety of non-traditional “sensors”, whose data streams can be harnessed to infer a variety of latent events and urban context. For example, users spontaneously generate huge amounts of content...

Full description

Saved in:
Bibliographic Details
Main Author: MISRA, Archan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6162
https://ink.library.smu.edu.sg/context/sis_research/article/7165/viewcontent/AD1037489.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-7165
record_format dspace
spelling sg-smu-ink.sis_research-71652021-09-29T10:33:04Z Fusing social media and mobile analytics for urban sense-making MISRA, Archan The project was motivated by the observation that urban environments are increasingly characterized by a variety of non-traditional “sensors”, whose data streams can be harnessed to infer a variety of latent events and urban context. For example, users spontaneously generate huge amounts of content (text, images and video) on social network channels, whereas GPS & other sensors on taxis and buses increasingly provide near-real time traces of their movement throughout the city. Similarly, advances in Wi-Fi based sensing allow us to passively capture the individual and collective movement of visitors across various public spaces, such as college campuses, museums and convention centers. The goal was to develop analytics algorithms and techniques to fuse the information from these diverse sources, to more accurately characterize urban events, both at city-scale (such as sports activities, and protests) and within specific campuses (such as university events). Through our work, we have developed a variety of novel algorithms for fusing such non-traditional sensor data. Our work has included (i) the use of Wi-Fi sensing data, optionally coupled with video monitoring, to detect events; (ii) the use of social-media and/or city transportation data to detect where and when events happended and (iii) the development of new crowdsourcing techniques that help increase the participate rate of city residents in reporting on such events. Our results and techniques provide foundational capabilities in the area of urban event sensing and anomaly detection. 2017-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6162 https://ink.library.smu.edu.sg/context/sis_research/article/7165/viewcontent/AD1037489.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Social Media Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Social Media
Software Engineering
spellingShingle Social Media
Software Engineering
MISRA, Archan
Fusing social media and mobile analytics for urban sense-making
description The project was motivated by the observation that urban environments are increasingly characterized by a variety of non-traditional “sensors”, whose data streams can be harnessed to infer a variety of latent events and urban context. For example, users spontaneously generate huge amounts of content (text, images and video) on social network channels, whereas GPS & other sensors on taxis and buses increasingly provide near-real time traces of their movement throughout the city. Similarly, advances in Wi-Fi based sensing allow us to passively capture the individual and collective movement of visitors across various public spaces, such as college campuses, museums and convention centers. The goal was to develop analytics algorithms and techniques to fuse the information from these diverse sources, to more accurately characterize urban events, both at city-scale (such as sports activities, and protests) and within specific campuses (such as university events). Through our work, we have developed a variety of novel algorithms for fusing such non-traditional sensor data. Our work has included (i) the use of Wi-Fi sensing data, optionally coupled with video monitoring, to detect events; (ii) the use of social-media and/or city transportation data to detect where and when events happended and (iii) the development of new crowdsourcing techniques that help increase the participate rate of city residents in reporting on such events. Our results and techniques provide foundational capabilities in the area of urban event sensing and anomaly detection.
format text
author MISRA, Archan
author_facet MISRA, Archan
author_sort MISRA, Archan
title Fusing social media and mobile analytics for urban sense-making
title_short Fusing social media and mobile analytics for urban sense-making
title_full Fusing social media and mobile analytics for urban sense-making
title_fullStr Fusing social media and mobile analytics for urban sense-making
title_full_unstemmed Fusing social media and mobile analytics for urban sense-making
title_sort fusing social media and mobile analytics for urban sense-making
publisher Institutional Knowledge at Singapore Management University
publishDate 2017
url https://ink.library.smu.edu.sg/sis_research/6162
https://ink.library.smu.edu.sg/context/sis_research/article/7165/viewcontent/AD1037489.pdf
_version_ 1770575839540281344