Yong-Yeol Ahn
Biographic Data
| ID | 922731 |
|---|---|
| NAME | Yong-Yeol Ahn |
| GIVEN NAMES | Yong-Yeol |
| FAMILY NAME | Ahn |
| SIGNATURE | AHN Y |
| AFFILIATIONS | Indiana University Bloomington |
| ORCID | 0000-0002-4352-4301 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Sameness entices, but novelty enchants in fanfiction online
Cultural evolution is driven by how we choose what to consume and share with others. A common belief is that the cultural artifacts that succeed are the ones that balance novelty and conventionality. This “balance theory” suggests that people prefer works that are familiar, but not so familiar as to be boring; novel, but not so novel as to violate the expectations of their genre. We test this idea using a large dataset of fanfiction, a unique dat…
Representing the disciplinary structure of physics
Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector representation of scholarly works based on citations and text. Yet, it is unclear whether their representations are consistent or provide different views of the structure of science. Here, we compare graph and text embedding by testing their ability to capture the hierarchical …
A semantic embedding space based on large language models for modelling human beliefs
The Social Contagion Potential of Pro-Vaccine Messages on Black Twitter
Black Americans in the US not only suffered from disproportionately high hospitalization and death rates throughout the pandemic but also from the consequences of low COVID-19 vaccination rates. This pattern of disparity is linked to distrust of public health systems that originates from a history of medical atrocities committed against Black people. For that reason, mitigation of race-based inequity in COVID-19 impacts might find more success in…
The latent structure of global scientific development
On the challenges of predicting microscopic dynamics of online conversations
To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning algorithms. The model is evaluated using datasets that span two topical domains (cryptocurrency and cyber-security) and two platforms (Reddit and Twitter). We show that it is able to predict both macroscopic features of the final trees and …
Complex Spreading Phenomena in Social Systems
Complex Spreading Phenomena in Social Systems
Network Landscape of Western Classical Music
Network science has shown itself to be useful in understanding a complex system by allowing us to unearth novel and intriguing patterns among its components. It is playing a particularly integral role in understanding social systems where collaboration between people is essential. Music is one such domain, as evidenced by how its centuries-old history is filled with intriguing episodes of collaborations between its central personalities and the i…
Robustness and modular structure in networks
Complex networks have recently attracted much interest due to their prevalence in nature and our daily lives (Vespignani, 2009; Newman, 2010). A critical property of a network is its resilience to random breakdown and failure (Albert et al., 2000; Cohen et al., 2000; Callaway et al., 2000; Cohen et al., 2001), typically studied as a percolation problem (Stauffer & Aharony, 1994; Achlioptas et al., 2009; Chen & D'Souza, 2011) or by modeling cascad…
Virality Prediction and Community Structure in Social Networks
How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most …
The Flavor Network
The authors investigate regional variations in culinary culture by constructing a flavor network of food ingredients, based on shared flavor compounds, and comparing this network to recipe data. They show that Western and Eastern cuisines differ in their compound sharing patterns. The findings show, in particular, that only Western cuisines support the hypothesis that foods sharing flavor compounds are more likely to taste well together. Using ad…
Link communities reveal multiscale complexity in networks
The latent structure of global scientific development
A semantic embedding space based on large language models for modelling human beliefs
Network Landscape of Western Classical Music
Network science has shown itself to be useful in understanding a complex system by allowing us to unearth novel and intriguing patterns among its components. It is playing a particularly integral role in understanding social systems where collaboration between people is essential. Music is one such domain, as evidenced by how its centuries-old history is filled with intriguing episodes of collaborations between its central personalities and the i…
Robustness and modular structure in networks
Complex networks have recently attracted much interest due to their prevalence in nature and our daily lives (Vespignani, 2009; Newman, 2010). A critical property of a network is its resilience to random breakdown and failure (Albert et al., 2000; Cohen et al., 2000; Callaway et al., 2000; Cohen et al., 2001), typically studied as a percolation problem (Stauffer & Aharony, 1994; Achlioptas et al., 2009; Chen & D'Souza, 2011) or by modeling cascad…
Link communities reveal multiscale complexity in networks
Virality Prediction and Community Structure in Social Networks
How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most …
The Flavor Network
The authors investigate regional variations in culinary culture by constructing a flavor network of food ingredients, based on shared flavor compounds, and comparing this network to recipe data. They show that Western and Eastern cuisines differ in their compound sharing patterns. The findings show, in particular, that only Western cuisines support the hypothesis that foods sharing flavor compounds are more likely to taste well together. Using ad…
Robustness and modular structure in networks
Complex networks have recently attracted much interest due to their prevalence in nature and our daily lives (Vespignani, 2009; Newman, 2010). A critical property of a network is its resilience to random breakdown and failure (Albert et al., 2000; Cohen et al., 2000; Callaway et al., 2000; Cohen et al., 2001), typically studied as a percolation problem (Stauffer & Aharony, 1994; Achlioptas et al., 2009; Chen & D'Souza, 2011) or by modeling cascad…
Network Landscape of Western Classical Music
Network science has shown itself to be useful in understanding a complex system by allowing us to unearth novel and intriguing patterns among its components. It is playing a particularly integral role in understanding social systems where collaboration between people is essential. Music is one such domain, as evidenced by how its centuries-old history is filled with intriguing episodes of collaborations between its central personalities and the i…
Complex Spreading Phenomena in Social Systems
Complex Spreading Phenomena in Social Systems
On the challenges of predicting microscopic dynamics of online conversations
To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning algorithms. The model is evaluated using datasets that span two topical domains (cryptocurrency and cyber-security) and two platforms (Reddit and Twitter). We show that it is able to predict both macroscopic features of the final trees and …
The latent structure of global scientific development
The Social Contagion Potential of Pro-Vaccine Messages on Black Twitter
Black Americans in the US not only suffered from disproportionately high hospitalization and death rates throughout the pandemic but also from the consequences of low COVID-19 vaccination rates. This pattern of disparity is linked to distrust of public health systems that originates from a history of medical atrocities committed against Black people. For that reason, mitigation of race-based inequity in COVID-19 impacts might find more success in…
Sameness entices, but novelty enchants in fanfiction online
Cultural evolution is driven by how we choose what to consume and share with others. A common belief is that the cultural artifacts that succeed are the ones that balance novelty and conventionality. This “balance theory” suggests that people prefer works that are familiar, but not so familiar as to be boring; novel, but not so novel as to violate the expectations of their genre. We test this idea using a large dataset of fanfiction, a unique dat…
Representing the disciplinary structure of physics
Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector representation of scholarly works based on citations and text. Yet, it is unclear whether their representations are consistent or provide different views of the structure of science. Here, we compare graph and text embedding by testing their ability to capture the hierarchical …
A semantic embedding space based on large language models for modelling human beliefs
Computer Science (10 works) · Complex Network Analysis Techniques (7 works) · Psychology (6 works) · Artificial Intelligence (4 works) · Opinion Dynamics and Social Influence (4 works) · Social Psychology (4 works) · World Wide Web (4 works) · Complex network (3 works) · Data science (3 works) · Geography (3 works)