Xu Tan
Biographic Data
| ID | 4974268 |
|---|---|
| NAME | Xu Tan |
| GIVEN NAMES | Xu |
| FAMILY NAME | Tan |
| SIGNATURE | TAN X |
| AFFILIATIONS | University of Washington |
| ORCID | 0000-0003-4861-4573 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Large-Scale Medical Crowdfunding Data Reveal Determinants and Preferences of Donation Behaviors
The growing usage of online crowdfunding platforms has fundamentally changed the traditional modes of fundraising and donation. Previous studies have mainly focused on the performance and ethical issues of online crowdfunding. In contrast, there is a dearth of information about the complexity of online donation behaviors. To explore the characteristics of fundraising and donation in online crowdfunding campaigns, we conduct a comprehensive analys…
Revealing Public Opinion towards the Covid-19 Vaccine with Weibo Data in China
The COVID-19 pandemic has created unprecedented burdens on people's health and subjective well-being. While countries around the world have established models to track and predict the affective states of COVID-19, identifying the topics of public discussion and sentiment evolution of the vaccine, particularly the differences in topics of concern between vaccine-support and vaccine-hesitant groups, remains scarce. Using social media data from the …
Cognitively-constrained learning from neighbors
Spatial characteristic of environmental protection businesses
Assessing Fitness-To-Drive among Older Drivers
To enable older drivers to maintain mobility without endangering public safety, it is necessary to develop more effective means of assessing their fitness-to-drive as alternatives to an on-road driving test. In this study, a functional ability test, simulated driving test, and on-road driving test were carried out for 136 older drivers. Influencing factors related to fitness-to-drive were selected based on the correlation between the outcome meas…
Locally Bayesian learning in networks
Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning rule to implement such locally Bayesian learning : each agent extracts new information using…
Worth fighting for
Social Capital and Social Quilts
We examine the informal exchange of favors in societies such that any two individuals interact too infrequently to sustain exchange, but such that the social pressure of the possible loss of multiple relationships can sustain exchange. Patterns of exchange that are locally enforceable and renegotiation-proof necessitate that all links are “supported”: any two individuals exchanging favors have a common friend. In symmetric settings, such robust n…
Rationally Inattentive Echo Chambers
We study rationally inattentive echo chambers, where players allocate limited attention to biased primary sources and to other players as secondary sources to acquire information about an uncertain state. The resulting Poisson attention network stochastically transmits information from primary sources either directly or indirectly through others. We give conditions for echo-chamber equilibria, in which players restrict attention to their own-bias…
Worth fighting for
Locally Bayesian learning in networks
Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning rule to implement such locally Bayesian learning : each agent extracts new information using…
Social Capital and Social Quilts
We examine the informal exchange of favors in societies such that any two individuals interact too infrequently to sustain exchange, but such that the social pressure of the possible loss of multiple relationships can sustain exchange. Patterns of exchange that are locally enforceable and renegotiation-proof necessitate that all links are “supported”: any two individuals exchanging favors have a common friend. In symmetric settings, such robust n…
Worth fighting for
Assessing Fitness-To-Drive among Older Drivers
To enable older drivers to maintain mobility without endangering public safety, it is necessary to develop more effective means of assessing their fitness-to-drive as alternatives to an on-road driving test. In this study, a functional ability test, simulated driving test, and on-road driving test were carried out for 136 older drivers. Influencing factors related to fitness-to-drive were selected based on the correlation between the outcome meas…
Locally Bayesian learning in networks
Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning rule to implement such locally Bayesian learning : each agent extracts new information using…
Cognitively-constrained learning from neighbors
Spatial characteristic of environmental protection businesses
Revealing Public Opinion towards the Covid-19 Vaccine with Weibo Data in China
The COVID-19 pandemic has created unprecedented burdens on people's health and subjective well-being. While countries around the world have established models to track and predict the affective states of COVID-19, identifying the topics of public discussion and sentiment evolution of the vaccine, particularly the differences in topics of concern between vaccine-support and vaccine-hesitant groups, remains scarce. Using social media data from the …
Large-Scale Medical Crowdfunding Data Reveal Determinants and Preferences of Donation Behaviors
The growing usage of online crowdfunding platforms has fundamentally changed the traditional modes of fundraising and donation. Previous studies have mainly focused on the performance and ethical issues of online crowdfunding. In contrast, there is a dearth of information about the complexity of online donation behaviors. To explore the characteristics of fundraising and donation in online crowdfunding campaigns, we conduct a comprehensive analys…
Rationally Inattentive Echo Chambers
We study rationally inattentive echo chambers, where players allocate limited attention to biased primary sources and to other players as secondary sources to acquire information about an uncertain state. The resulting Poisson attention network stochastically transmits information from primary sources either directly or indirectly through others. We give conditions for echo-chamber equilibria, in which players restrict attention to their own-bias…
Computer Science (7 works) · Political science (4 works) · Artificial Intelligence (3 works) · Business (3 works) · Machine learning (3 works) · Mathematics (3 works) · Medicine (3 works) · Opinion Dynamics and Social Influence (3 works) · Psychology (3 works) · Bayesian probability (2 works)