Ming-Hsiang Tsou
Datos Biográficos
| ID | 296687 |
|---|---|
| NOMBRE | Ming-Hsiang Tsou |
| NOMBRES | Ming-Hsiang |
| APELLIDO | Tsou |
| FIRMA | TSOU M |
| AFILIACIONES | San Diego State University |
| ORCID | 0000-0003-3421-486X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAS | 45 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2004 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 4 |
Exploring Sentiment, Values, and Misinformation Surrounding Vaccination Legislation on Twitter
California remains among a handful of U.S. states with no clause for a personal belief exemption for required vaccines due to passage of SB277. As vaccines represent an important tool in the public health arsenal against SARS-CoV-2 and may yet be required by schools and employers, other states may consider enacting laws similar to SB277 to address COVID-19 and future outbreaks of infectious diseases. In this case study of California’s SB277 bill,…
Beyond mapping
Dr. Buttenfield led the user evaluation and user interface design/improvement tasks in the Alexandra Digital Library (ADL) Project from 1994 to 1998 funded by the National Science Foundation in the U.S. Her research efforts in the ADL extended the role of cartographers from traditional map designers to web-based user interface and user experiences (UI/UX) designers. This paper will highlight key concepts and design principles (including user cent…
Analyzing Spatial-Temporal Impacts of Neighborhood Socioeconomic Status Variables on Covid-19 Outbreaks as Potential Social Determinants of Health
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 County of San Diego, California; (2) compare six U.S. metropolitan areas; and (3) compare SES associa…
Social Network Analysis of Covid-19 Sentiments
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 in 10 metropolitan cities in Italy's (1) north: Milan, Venice, Turin, Bologna; (2) central: Florence…
Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the Covid-19 Pandemic
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 framework for this case study of the San Diego region examining local public sentiment toward vaccin…
The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics
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. This study explores the societal response to the first wave of the pandemic outbreak in Italy, look…
An Economic Development Evaluation Based on the OpenStreetMap Road Network Density
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 development and spatial metrics, which are obtained from the urban road network which can be used to eva…
“I Definitely Did Not Report It When I Was Raped . . . #WeBelieveChristine #MeToo”
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 disclosures as an aspect of such misconduct through the context of the Me Too movement on Twitter. Through …
Twitter Communication During an Outbreak of Hepatitis A in San Diego, 2016–2018
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 sample of public tweets (n = 744) from Twitter, a primary platform used by key stakeholders to commu…
Simulating the spatial diffusion of memes on social media networks
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 different levels of efficiency that memes spread spatially and temporally. Analyzed network structures inclu…
Linguistically guided community discovery
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 discovery on online communities. Generalizing methods developed in the bibliometrics and information…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
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 spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
Spatial Social Networks
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 transform social networks into maps and information landscapes using real‐world locations or abstrac…
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
Research challenges and opportunities in mapping social media and Big Data
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 user location profiles. The dynamic characteristics of social media and Big Data provide a great res…
Space–Time Analysis
Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative conceptualizations. Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the context of several of the most recent and substantial advances in individual movement data analysis (time geography in particular) and spatial panel …
Visualization of social media
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
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 spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
Revisiting Web Cartography in the United States
This paper reviews the recent development of web cartography based on Plewe's 2007 short paper in the U.S. National Report to the ICA, titled Web Cartography in the United States. By identifying major changes and recent research trends in web cartography, this paper provides an overview about what the web means to cartography, and suggests two major research directions for web cartography in the future: 1) the rise of user-centered design, includ…
Multidisciplinary Cooperation in GIS Education
This paper examines the degree of multidisplinary cooperation for Geographic Information Science (GIS) education programs that award GIS-related degrees or certificates at US colleges and universities. We classified departments and courses into ten major disciplines using Dewey Decimal Classification. In the 2007–2008 academic year, approximately 40 per cent of GIS education programs related to multiple disciplines and nearly 20 per cent were inv…
Applying Internet Geographic Information System for Water Quality Monitoring
This article explains the fundamental concepts of Internet geographic information system (GIS) technology and illustrates its capabilities using the example of water quality monitoring in San Diego Bay Watershed, California. Internet GIS technology has democratized public access to geographic data and information services, and software applications such as Google Earth provide millions of users with instantaneous access to digital geographic data…
Integrated Mobile GIS and Wireless Internet Map Servers for Environmental Monitoring and Management
With the progress of mobile GIS technology there is a great potential for adopting wireless communications and Internet mapping services for regional environmental management programs and natural habitat conservation. This paper provides an overview of a NASA-funded research project that focuses on the development of mobile GIS tools and wireless Internet Map Server (IMS) services to facilitate environmental monitoring and management tasks. By de…
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
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 spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
Research challenges and opportunities in mapping social media and Big Data
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 user location profiles. The dynamic characteristics of social media and Big Data provide a great res…
Space–Time Analysis
Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative conceptualizations. Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the context of several of the most recent and substantial advances in individual movement data analysis (time geography in particular) and spatial panel …
Multidisciplinary Cooperation in GIS Education
This paper examines the degree of multidisplinary cooperation for Geographic Information Science (GIS) education programs that award GIS-related degrees or certificates at US colleges and universities. We classified departments and courses into ten major disciplines using Dewey Decimal Classification. In the 2007–2008 academic year, approximately 40 per cent of GIS education programs related to multiple disciplines and nearly 20 per cent were inv…
Revisiting Web Cartography in the United States
This paper reviews the recent development of web cartography based on Plewe's 2007 short paper in the U.S. National Report to the ICA, titled Web Cartography in the United States. By identifying major changes and recent research trends in web cartography, this paper provides an overview about what the web means to cartography, and suggests two major research directions for web cartography in the future: 1) the rise of user-centered design, includ…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
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 spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
Visualization of social media
Analyzing Spatial-Temporal Impacts of Neighborhood Socioeconomic Status Variables on Covid-19 Outbreaks as Potential Social Determinants of Health
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 County of San Diego, California; (2) compare six U.S. metropolitan areas; and (3) compare SES associa…
The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics
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. This study explores the societal response to the first wave of the pandemic outbreak in Italy, look…
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
Beyond mapping
Dr. Buttenfield led the user evaluation and user interface design/improvement tasks in the Alexandra Digital Library (ADL) Project from 1994 to 1998 funded by the National Science Foundation in the U.S. Her research efforts in the ADL extended the role of cartographers from traditional map designers to web-based user interface and user experiences (UI/UX) designers. This paper will highlight key concepts and design principles (including user cent…
Integrated Mobile GIS and Wireless Internet Map Servers for Environmental Monitoring and Management
With the progress of mobile GIS technology there is a great potential for adopting wireless communications and Internet mapping services for regional environmental management programs and natural habitat conservation. This paper provides an overview of a NASA-funded research project that focuses on the development of mobile GIS tools and wireless Internet Map Server (IMS) services to facilitate environmental monitoring and management tasks. By de…
Applying Internet Geographic Information System for Water Quality Monitoring
This article explains the fundamental concepts of Internet geographic information system (GIS) technology and illustrates its capabilities using the example of water quality monitoring in San Diego Bay Watershed, California. Internet GIS technology has democratized public access to geographic data and information services, and software applications such as Google Earth provide millions of users with instantaneous access to digital geographic data…
Multidisciplinary Cooperation in GIS Education
This paper examines the degree of multidisplinary cooperation for Geographic Information Science (GIS) education programs that award GIS-related degrees or certificates at US colleges and universities. We classified departments and courses into ten major disciplines using Dewey Decimal Classification. In the 2007–2008 academic year, approximately 40 per cent of GIS education programs related to multiple disciplines and nearly 20 per cent were inv…
Revisiting Web Cartography in the United States
This paper reviews the recent development of web cartography based on Plewe's 2007 short paper in the U.S. National Report to the ICA, titled Web Cartography in the United States. By identifying major changes and recent research trends in web cartography, this paper provides an overview about what the web means to cartography, and suggests two major research directions for web cartography in the future: 1) the rise of user-centered design, includ…
Visualization of social media
Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing)
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 spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were con…
Research challenges and opportunities in mapping social media and Big Data
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 user location profiles. The dynamic characteristics of social media and Big Data provide a great res…
Space–Time Analysis
Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative conceptualizations. Space–time analysis seeks to understand when and where (and sometimes why) things occur. In the context of several of the most recent and substantial advances in individual movement data analysis (time geography in particular) and spatial panel …
Social media analytics and research testbed (SMART)
The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, includ…
Spatial Social Networks
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 transform social networks into maps and information landscapes using real‐world locations or abstrac…
Simulating the spatial diffusion of memes on social media networks
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 different levels of efficiency that memes spread spatially and temporally. Analyzed network structures inclu…
Linguistically guided community discovery
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 discovery on online communities. Generalizing methods developed in the bibliometrics and information…
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
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 spatiotemporal patterns of evacuation travels by leveraging users’ location information from millions of tweets …
An Economic Development Evaluation Based on the OpenStreetMap Road Network Density
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 development and spatial metrics, which are obtained from the urban road network which can be used to eva…
“I Definitely Did Not Report It When I Was Raped . . . #WeBelieveChristine #MeToo”
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 disclosures as an aspect of such misconduct through the context of the Me Too movement on Twitter. Through …
Twitter Communication During an Outbreak of Hepatitis A in San Diego, 2016–2018
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 sample of public tweets (n = 744) from Twitter, a primary platform used by key stakeholders to commu…
The Geography of Covid-19 Spread in Italy Using Social Media and Geospatial Data Analytics
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. This study explores the societal response to the first wave of the pandemic outbreak in Italy, look…
Social Network Analysis of Covid-19 Sentiments
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 in 10 metropolitan cities in Italy's (1) north: Milan, Venice, Turin, Bologna; (2) central: Florence…
Examining Vaccine Sentiment on Twitter and Local Vaccine Deployment during the Covid-19 Pandemic
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 framework for this case study of the San Diego region examining local public sentiment toward vaccin…
Beyond mapping
Dr. Buttenfield led the user evaluation and user interface design/improvement tasks in the Alexandra Digital Library (ADL) Project from 1994 to 1998 funded by the National Science Foundation in the U.S. Her research efforts in the ADL extended the role of cartographers from traditional map designers to web-based user interface and user experiences (UI/UX) designers. This paper will highlight key concepts and design principles (including user cent…
Analyzing Spatial-Temporal Impacts of Neighborhood Socioeconomic Status Variables on Covid-19 Outbreaks as Potential Social Determinants of Health
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 County of San Diego, California; (2) compare six U.S. metropolitan areas; and (3) compare SES associa…
Exploring Sentiment, Values, and Misinformation Surrounding Vaccination Legislation on Twitter
California remains among a handful of U.S. states with no clause for a personal belief exemption for required vaccines due to passage of SB277. As vaccines represent an important tool in the public health arsenal against SARS-CoV-2 and may yet be required by schools and employers, other states may consider enacting laws similar to SB277 to address COVID-19 and future outbreaks of infectious diseases. In this case study of California’s SB277 bill,…
Computer Science (18 obras) · Geography (14 obras) · Social media (11 obras) · World Wide Web (11 obras) · Human Mobility and Location-Based Analysis (9 obras) · Political science (9 obras) · Sociology (9 obras) · Data science (8 obras) · Cartography (7 obras) · Geographic Information Systems Studies (7 obras)