Adriana Iamnitchi
Biographic Data
| ID | 245138 |
|---|---|
| NAME | Adriana Iamnitchi |
| GIVEN NAMES | Adriana |
| FAMILY NAME | Iamnitchi |
| SIGNATURE | IAMNITCHI A |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0002-2397-8963 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Influencer self-disclosure practices on Instagram
This paper presents a longitudinal study of more than ten years of activity on Instagram consisting of over a million posts by 400 content creators from four countries: the US, Brazil, Netherlands and Germany. Our study shows differences in the professionalisation of content monetisation between countries, yet consistent patterns; significant differences in the frequency of posts yet similar user engagement trends; and significant differences in …
Cross-community affinity
Social media activity forecasting with exogenous and endogenous signals
Diffusion of social conventions across polarized communities
Reuse, temporal dynamics, interest sharing, and collaboration in social tagging systems
User–generated content shapes the dynamics of the World Wide Web. In particular, collaborative tagging represents a simple, yet powerful, feature that enables users to share and collaboratively annotate content such as photos and URLs. This collaborative behavior and the pool of user–generated metadata create opportunities to improve existing systems and to design new mechanisms. However, to realize this potential, it is necessary to first unders…
Identifying high betweenness centrality nodes in large social networks
Identifying high betweenness centrality nodes in large social networks
Reuse, temporal dynamics, interest sharing, and collaboration in social tagging systems
User–generated content shapes the dynamics of the World Wide Web. In particular, collaborative tagging represents a simple, yet powerful, feature that enables users to share and collaboratively annotate content such as photos and URLs. This collaborative behavior and the pool of user–generated metadata create opportunities to improve existing systems and to design new mechanisms. However, to realize this potential, it is necessary to first unders…
Diffusion of social conventions across polarized communities
Social media activity forecasting with exogenous and endogenous signals
Cross-community affinity
Influencer self-disclosure practices on Instagram
This paper presents a longitudinal study of more than ten years of activity on Instagram consisting of over a million posts by 400 content creators from four countries: the US, Brazil, Netherlands and Germany. Our study shows differences in the professionalisation of content monetisation between countries, yet consistent patterns; significant differences in the frequency of posts yet similar user engagement trends; and significant differences in …
Complex Network Analysis Techniques (5 works) · Computer Science (5 works) · Data science (3 works) · Social media (3 works) · Social Media and Politics (3 works) · World Wide Web (3 works) · Business (2 works) · Opinion Dynamics and Social Influence (2 works) · Advanced Graph Neural Networks (1 work) · Advertising (1 work)