Ming-Hsiang Tsou

Ming-Hsiang Tsou
San Diego State University | SDSU · Department of Geography

Ph.D.

About

135
Publications
76,186
Reads
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3,178
Citations
Citations since 2017
65 Research Items
2151 Citations
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Introduction
Ming-Hsiang (Ming) Tsou is Professor in the Department of Geography, San Diego State University. He received a B.S. from National Taiwan University in 1991, an M.A. from the State University of New York at Buffalo in 1996, and a Ph.D. from the University of Colorado at Boulder in 2001, all in Geography. His research interests are in Mapping Cyberspace, Social Media, Internet mapping and distributed GIS, mobile GIS, user interface design, and cyberinfrastructure.
Additional affiliations
August 2000 - present
San Diego State University
Position
  • Professor
Education
August 1996 - May 2000
University of Colorado Boulder
Field of study
  • Geography

Publications

Publications (135)
Article
Full-text available
Social media and Big Data have transformed our world into interconnected cyberspace and realspace. Cartographers can now trace, monitor, and map the spread of social movements, disease outbreaks, nature hazards, and popular events by digitally collecting social media and Big Data with locational contents, such as global positioning system tags and...
Conference Paper
Full-text available
We developed a social media analytics and research testbed (SMART) dashboard for monitoring Twitter messages and tracking the diffusion of information in different cities. SMART dashboard is an online geo-targeted search and analytics tool, including an automatic data processing procedure to help researchers to 1) search tweets in different cities;...
Article
Full-text available
Background Existing influenza surveillance in the United States is focused on the collection of data from sentinel physicians and hospitals; however, the compilation and distribution of reports are usually delayed by up to 2 weeks. With the popularity of social media growing, the Internet is a source for syndromic surveillance due to the availabili...
Article
Full-text available
We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatialtemporal pe...
Article
The COVID-19 pandemic is not only a medical disease outbreak but also a social inequality and health disparity problem. This study analyzed dynamic temporal and spatial associations between confirmed COVID-19 cases and socioeconomic status (SES) variables at the neighborhood level with three case studies to (1) analyze five temporal stages in the C...
Article
Full-text available
Understanding local public attitudes toward receiving vaccines is vital to successful vaccine campaigns. Social media platforms may help uncover vaccine sentiments during infectious disease outbreaks at the local level, and whether offline local events support vaccine-promotion efforts. Communication Infrastructure Theory (CIT) served as a guiding...
Article
Introduction: During the COVID-19 pandemic, health and social inequities placed racial and ethnic minority groups at increased risk of severe illness. Our objective was to investigate this health disparity by analyzing the relationship between potential social determinants of health (SDOH), COVID-19, and chronic disease in the spatial context of S...
Article
Full-text available
The pandemic spread rapidly across Italy, putting the region's health system on the brink of collapse, and generating concern regarding the government's capacity to respond to the needs of patients considering isolation measures. This study developed a sentiment analysis using millions of Twitter data during the first wave of the COVID-19 pandemic...
Chapter
Full-text available
The COVID-19 pandemic took a toll on the world’s healthcare infrastructure as well as its social, economic, and psychological well-being. In particular, Italy’s unexpectedly high COVID-19 case and death rate from March to June, 2020, captured headlines due to its speed and virulence. Many governments are currently implementing measures to help cont...
Article
Full-text available
Since December 2019, Coronavirus has been spreading rapidly across the world. From its early stages, while the rest of the world was still new to COVID-19, Italy was one of the first and most severely hit countries. The chronic nature of the COVID-19 outbreak and untimely treatments were translated into an unstable social and emotional environment....
Chapter
The study was carried out on people’s exchange on social media networks, particularly on Twitter, during the COVID-19 pandemic. We analyzed over 4 million COVID-19 related tweets classified as fear, anger, and joy in four of Italy’s geographic regions to investigate whether socioeconomic factors and sentiments of tweets shift over the course of the...
Chapter
Individuals react very differently to evacuation orders as their decisions depend on various factors. Identifying key contributing factors and understanding how they affect individuals’ evacuation decisions can help emergency response organizations improve evacuation plans and communication strategies. Conventionally, researchers have studied human...
Chapter
In designing evacuation plans, it is critical for the responsive agencies to consider the dynamic change of human population within impact areas and understand social perception from local residents. Although a large number of evacuation models has been reported in the literature, many used census survey data which represent only the nighttime popu...
Chapter
Understanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources, and each describes unique mobility characteristics. Revealing similarity and difference in various data sources facilitates grasping comprehensive human mobility patterns. T...
Chapter
To illuminate understanding of how social media can be leveraged to glean insights into public health issues such as e-cigarette use, we use a social media analytics and research testbed (SMART) dashboard to observe Twitter messages and follow content about e-cigarettes in different cities across the U.S. Our case studies indicate that the majority...
Chapter
The COVID-19 pandemic has impacted everyone’s life and changes our activities and behaviors significantly. It is the first example of “data-rich” pandemic in the human history and opens many research opportunities for the study of Human Dynamics. This chapter provides some representative examples and suggestions for the future development in both s...
Chapter
Gentrification is a transformation of a working-class or an abandoned area of a city under the influence of redevelopment and influx of higher-income residents, which involves economic upgrading and replacement of long-term residents who were often of lower social status. Researchers utilize various qualitative and quantitative methodologies to mea...
Book
This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and anal...
Article
Full-text available
We describe a system for automatically ranking docu-ments by degree of militancy, designed as a tool both for finding militant websites and prioritizing the data found. Our ranking system employs a small hand-selected vo-cabulary based on group membership markers used by insiders to identify members and member proper-ties (us) and outsiders and thr...
Article
Tobacco products cause about 1 in 5 deaths premature deaths each year. With increased retailing of both tobacco and electronic nicotine delivery systems (ENDS) products, cancer centers such as City of Hope are prioritizing tobacco and ENDS control. Therefore, we conducted formative geospatial analyses of dedicated smoke and vape shops linked to nei...
Article
Background: Colorectal cancer (CRC) is curable if diagnosed early and treated properly. Black and Hispanic CRC patients are more likely to experience treatment delays, and/or receive lower standards of care. Socioeconomic deprivation may contribute to these disparities, but this has not been extensively quantified. We studied the interrelationship...
Preprint
Full-text available
This study analyzed spatiotemporal spread patterns of COVID-19 confirmed cases at the zip code level in the County of San Diego and compared them to neighborhood social and economic factors. We used correlation analysis, regression models, and geographic weighted regression to identify important factors and spatial patterns. We broke down the tempo...
Article
Objectives. To examine how and what information is communicated via social media during an infectious disease outbreak. Methods. In the context of the 2016 through 2018 hepatitis A outbreak in San Diego County, California, we used a grounded theory–based thematic analysis that employed qualitative and quantitative approaches to uncover themes in a...
Article
Full-text available
The “Me Too” movement, founded by activist Tarana Burke, began in 2006, before Twitter became the viral platform for political activism and news media that it is known for today. The reemergence of the Me Too movement on Twitter in 2017 sparked a widespread focus on the societal issue of sexual misconduct. This study examines sexual assault disclos...
Article
The increased accessibility of population-level data made available by the government and public health and consumer agencies provides a unique opportunity for integrative data analysis, spatial visualization with much higher resolution to identify clusters of disease, and their correlation with geospatial, socioeconomic, and demographic predictors...
Article
Full-text available
The evaluation of urban economies has been one key concern identified by scholars. In the past, most research methods on urban development assessments have been based on statistical data, and the analysis results have been presented in the form of statistical tables. Moreover, the development of urban road networks reflects the status of urban deve...
Conference Paper
p> Introduction: Despite growing public health efforts to discourage teens from using hazardous tobacco products, their use of ENDS (electronic nicotine delivery system) remain piqued due to direct youth targeting by tobacco and vaping companies. ENDs especially e-cigs most often have a fruit or candy flavor that are particularly attractive to youn...
Article
Big data and social media are evolving rapidly, so the predictable horizon is shrinking. The future of big data for the communication discipline will hinge on the success of developing interdisciplinary collaborations. This chapter seeks to examine the potential for big data in the form of social media to inform applied communication contexts, prim...
Article
Full-text available
Understanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility patterns. T...
Article
Taking ecological perspectives to overweight and obesity, the current study applies data mining approach to examine the association between information and social environments and regional prevalence of overweight and obesity. In particular, we focus on online search and social media data since the increasing popularity of location-based geo-target...
Article
Full-text available
The spatial diffusion of information is a process governed by the flow of interpersonal communication. The emergence of the Internet and especially social media platforms has reshaped this process and previous research has studied how online social networks contribute to the diffusion of information. Understanding such processes can help devise met...
Conference Paper
To illuminate understanding of how social media can be leveraged to glean insights into public health issues such as e-cigarette use, we use a social media analytics and research testbed (SMART) dashboard to observe Twitter messages and follow content about e-cigarettes in different cities across the U.S. Our case studies indicate that the majority...
Chapter
In recent years, the application of spatial analysis in the context of epidemiologic surveillance and research has increased exponentially. Today, the use of spatial statistics extend beyond descriptive mapping to analyze and visualize the underlying spatial patterns of human dynamics; offering epidemiologists and public health researchers new and...
Article
Full-text available
Several studies have recently applied sentiment-based lexicons to Twitter to gauge local sentiment to understand health behaviors and outcomes for local areas. While this research has demonstrated the vast potential of this approach, lingering questions remain regarding the validity of Twitter mining and surveillance in local health research. First...
Article
Full-text available
The study of how space and place intersect with social policy is still nascent but developing rapidly. As two exemplars of the potential that such research offers, the objective of this review is to integrate the research collected during recent studies of fracking and the death penalty. The primary disciplinary value of this review is to demonstra...
Article
This article reports the findings from simulating the spatial diffusion processes of memes over social media networks by using the approach of agent-based modeling. Different from other studies, this article examines how space and distance affect the diffusion of memes. Simulations were carried out to emulate and to allow assessment of the differen...
Article
Full-text available
Understanding human movements in the face of natural disasters is critical for disaster evacuation planning, management, and relief. Despite the clear need for such work, these studies are rare in the literature due to the lack of available data measuring spatiotemporal mobility patterns during actual disasters. This study explores the spatiotempor...
Article
Full-text available
Within some online communities, discussion often centers on issues on which writers take sides, and within some subset of those debate-prone communities, we find over time that particular sets of writers almost always end up on the same side of an issue. These sets we call factions. In this paper, we describe a tool to perform what we call faction...
Chapter
This chapter describesa Spatial Web Automatic Reasoning and Mapping System (SWARMS) for visualizing and analyzing space-time dimensions of information landscape represented by a social media channel—Twitter. SWARMS utilizes computer programming and Twitter Search APIs to retrieve tweets by searching keywords from the Twitter database. Two case stud...
Preprint
Internet Protocol (IP) addresses are frequently used as a method of locating web users by researchers in several different fields. However, there are competing reports concerning the accuracy of those locations, and little research has been done in manually comparing the IP geolocation databases and web page geographic information. This paper categ...
Preprint
Full-text available
This paper introduces a spatiotemporal analysis framework for estimating hourly changing population distribution in urban areas using geo-tagged tweets (the messages containing users' physical locations), land use data, and dasymetric maps. We collected geo-tagged social media (tweets) within the County of San Diego during one year (2015) by using...
Article
Full-text available
Understanding and detecting the intended meaning in social media is challenging because social media messages contain varieties of noise and chaos that are irrelevant to the themes of interests. For example, conventional supervised classification approaches would produce inconsistent solutions to detecting and clarifying whether any given Twitter m...
Article
The current study examined conversations on Twitter related to use and perceptions of e-cigarettes in the United States. We employed the Social Media Analytic and Research Testbed (SMART) dashboard, which was used to identify and download (via a public API) e-cigarette-related geocoded tweets. E-cigarette-related tweets were collected continuously...
Chapter
It is crucial to discover, track, summarize, and even predict popular topics and events occurring in the social network in the space-time context. At the same time, it is very useful that a series of “what if” scenarios can be developed to estimate the meme diffusion. However, spatial social scientists have been slow to adopt and implement new meth...
Chapter
Geographers and scientists can collect and analyze social media and Big Data via smartphones, sensors, and mobile devices with locational contents, such as global positioning system tags, check-ins, place names, and user location profiles. The dynamic characteristics of social media and Big Data offer geographers research opportunities for examinin...
Chapter
Social media services and location-based photo-sharing applications, such as Flickr, Twitter, and Instagram, provide a promising opportunity for studying tourist behaviors and activities. Researchers can use public accessible geo-tagged photos to map and analyze hotspots and tourist activities in various tourist attractions. This research studies g...
Chapter
Full-text available
The advancement of geospatial cyberinfrastructure and technology will enable high-performance GISystems, provide smart and intelligent GIServices, and transform GIScience from a specialized scientific discipline into an important research domain bridging data science, computer science, and geography. There are four unstoppable trends in the future...
Article
Full-text available
Many social media researchers and data scientists collected geo-tagged tweets to conduct spatial analysis or identify spatiotemporal patterns of filtered messages for specific topics or events. This paper provides a systematic view to illustrate the characteristics (data noises, user biases, and system errors) of geo-tagged tweets from the Twitter...
Conference Paper
We present a novel flow mapping method called Animated Flow Mapper. Conventional flow mapping uses the thickness of a flow line to differentiate the volume of a flow and arrows to represent the direction. These flow mapping methods have suffered from problems of occlusion especially for visualizing large volumes of data, and when many flows converg...
Article
In designing evacuation plans, it is critical for the responsive agencies to consider the dynamic change of human population within impact areas and understand social perception from local residents. Although a large number of evacuation models has been reported in the literature, many used census survey data which represent only the nighttime popu...
Book
Full-text available
Description Geographical Information Systems is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different info...
Article
Full-text available
The dynamic characteristics of geotagged Twitter messages provide researchers with vast potential for analysing the spatial diffusion of events such as disease outbreaks, environmental changes and social movements. The percentage of geotagged data, however, is extremely small compared to non-geotagged data, whereas non-geotagged tweets often contai...
Article
Available online xxxx Outdoor air pollution is a serious environmental problem in many developing countries; obtaining timely and accurate information about urban air quality is a first step toward air pollution control. Many developing countries however, do not have any monitoring stations and therefore the means to measure air quality. We address...
Conference Paper
Full-text available
Situation awareness plays an important role in disaster response and emergency management. Displaying real-time location-based social media messages along with videos, pictures, and hashtags during a disaster event could help first responders improve their situation awareness. A geo-targeted event observation (Geo) Viewer was developed for monitori...
Article
Full-text available
Many scholars have argued that the importance of geographic proximity in human interactions has been diminished by the use of the Internet, while others disagree with this argument. Studies have noted the distance decay effect in both cyberspace and real space, showing that interactions occur with an inverse relationship between the number of inter...
Article
Full-text available
The 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea gave rise to chaos caused by psychological anxiety, and it has been assumed that people shared rumors about hospital lists through social media. Sharing rumors is a common form of public perception and risk communication among individuals during an outbreak. Social media analy...
Chapter
Social media (such as Twitter, Instagram, and Facebook) are powerful computer-supported social networks for idea exchange and personal networking. Most social media messages contain spatial information in the form of geotags, user profiles, or place names in the messages, which can be used to create spatial social networks. Spatial social networks...
Article
Introduction: In the U.S., approximately 25% of all breast cancer cases occur before the age of 50 years. Younger age at diagnosis of breast cancer is associated with lower survival when compared to older cases. Data on sociodemographic predictors of mortality in younger vs. older breast cancer patients are scarce. We assessed differences in risk o...
Chapter
Abstract Though most adults place a high value on maintaining control over personal information that is revealed about them, online information, including their social media transactions, may reveal more than they intend. This paper elucidates the basic concepts of privacy and geoprivacy and describes how location-revealing technologies can be used...
Article
Full-text available
In fast-growing cities, especially large cities in developing countries, land use types are changing rapidly, and different types of land use are mixed together. It is difficult to assess the land use types in these fast-growing cities in a timely and accurate way. To address this problem, this paper presents a multi-source data mining approach to...
Article
Full-text available
Social media data are increasingly being used for enhancing situational awareness and assisting disaster management. We analyzed the wildfire-related Twitter activities in terms of their attributes pertinent to space, time, content, and network, so as to gain insights into the usefulness of social media data in revealing situational awareness. Find...
Article
Full-text available
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza in real-time and at multiple geographical scales. In this paper, we introduce an improved framework...
Data
A Microsoft Excel file containing tables that list flu-related tweet counts at local, regional, and national levels. (XLSX)
Data
A Microsoft Excel file containing tables that list influenza-like illness (ILI) rates at local, regional, and national levels. (XLSX)
Data
A document containing links to example source code for collecting geo-targeted Twitter data and the web interface that is used to view and download Twitter data. (DOCX)