Jin-Hee Cho
Biographic Data
| ID | 4977262 |
|---|---|
| NAME | Jin-Hee Cho |
| GIVEN NAMES | Jin-Hee |
| FAMILY NAME | Cho |
| SIGNATURE | CHO J |
| AFFILIATIONS | DEVCOM Army Research Laboratory |
| ORCID | 0000-0002-5908-4662 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative AI for Geospatial Analysis
This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while effective, often lack usability and scalability for non-technical users. LLMs offer a new approach by enabling conversational interaction with spatial data. We evaluate OpenAI’s GPT-4o-mini model in two forms: an “As-Is” baseline an…
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions
For decades, the spread of disinformation in online social networks (OSNs) has been a serious social issue. Disinformation via social media can easily mislead people’s beliefs toward or against an event that may mislead their behaviors based on the misbeliefs. The game theory approaches have been proposed under dynamic settings to limit the adverse influences of disinformation. It is a challenge to expand the users’ game strategies from the sprea…
Dynamics of Uncertain and Conflicting Opinions in Social Networks
In this paper, we study the evolution of opinions where people are not sure of their own opinions and/or their opinions may be conflicting to others' in social networks. We model two types of agents so-called informed agents (IAs) and uninformed agents (UIAs). The IAs have a strong opinion agreeing or disagreeing toward a proposition without being influenced by other agents' opinions and have a high confidence (low uncertainty) toward its own opi…
Building Trust-Based Sustainable Networks
Trust is modeled in many disciplines as a key factor in determining if entities cooperate with each other. In the social sciences, particularly within the social, economic, and environmental domains, trust has received considerable attention as the key element to building sustainable societies. However, in the networking and telecommunications fields, trust-based approaches to developing sustainable systems have yet to be examined. In this work, …
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Building Trust-Based Sustainable Networks
Trust is modeled in many disciplines as a key factor in determining if entities cooperate with each other. In the social sciences, particularly within the social, economic, and environmental domains, trust has received considerable attention as the key element to building sustainable societies. However, in the networking and telecommunications fields, trust-based approaches to developing sustainable systems have yet to be examined. In this work, …
Dynamics of Uncertain and Conflicting Opinions in Social Networks
In this paper, we study the evolution of opinions where people are not sure of their own opinions and/or their opinions may be conflicting to others' in social networks. We model two types of agents so-called informed agents (IAs) and uninformed agents (UIAs). The IAs have a strong opinion agreeing or disagreeing toward a proposition without being influenced by other agents' opinions and have a high confidence (low uncertainty) toward its own opi…
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions
For decades, the spread of disinformation in online social networks (OSNs) has been a serious social issue. Disinformation via social media can easily mislead people’s beliefs toward or against an event that may mislead their behaviors based on the misbeliefs. The game theory approaches have been proposed under dynamic settings to limit the adverse influences of disinformation. It is a challenge to expand the users’ game strategies from the sprea…
Generative AI for Geospatial Analysis
This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while effective, often lack usability and scalability for non-technical users. LLMs offer a new approach by enabling conversational interaction with spatial data. We evaluate OpenAI’s GPT-4o-mini model in two forms: an “As-Is” baseline an…
Computer Science (4 works) · Complex Network Analysis Techniques (3 works) · Opinion Dynamics and Social Influence (3 works) · Artificial Intelligence (2 works) · Computer security (2 works) · Economics (2 works) · Political science (2 works) · 3D Modeling in Geospatial Applications (1 work) · Business (1 work) · Cartography (1 work)