Alvaro Uzaheta
Biographic Data
| ID | 903224 |
|---|---|
| NAME | Alvaro Uzaheta |
| GIVEN NAMES | Alvaro |
| FAMILY NAME | Uzaheta |
| SIGNATURE | UZAHETA A |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0003-4367-3670 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Modeling the duality of content niches and user interactions on online social media platforms
Individuals use online social media platforms for social interaction and to create, consume and share creative content. Within large platforms, individuals’ interaction with content and the congregation of individuals sharing similar interests might have a dual relationship, leading to the emergence of focused content niches of specific individuals and types of content. These niches are smaller-scale social settings that may facilitate and struct…
Random effects in dynamic network actor models
Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome of an actor-oriented decision process consisting of two decision levels. The first level represents the time until an actor initiates the next relational event, modeled by an exponential distribution with an actor-specific activity rate. The second level describes the choice of the receiver of the event, modeled by a conditional multinomial …
Random effects in dynamic network actor models
Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome of an actor-oriented decision process consisting of two decision levels. The first level represents the time until an actor initiates the next relational event, modeled by an exponential distribution with an actor-specific activity rate. The second level describes the choice of the receiver of the event, modeled by a conditional multinomial …
Random effects in dynamic network actor models
Dynamic Network Actor Models (DyNAMs) assume that an observed sequence of relational events is the outcome of an actor-oriented decision process consisting of two decision levels. The first level represents the time until an actor initiates the next relational event, modeled by an exponential distribution with an actor-specific activity rate. The second level describes the choice of the receiver of the event, modeled by a conditional multinomial …
Modeling the duality of content niches and user interactions on online social media platforms
Individuals use online social media platforms for social interaction and to create, consume and share creative content. Within large platforms, individuals’ interaction with content and the congregation of individuals sharing similar interests might have a dual relationship, leading to the emergence of focused content niches of specific individuals and types of content. These niches are smaller-scale social settings that may facilitate and struct…
Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Mathematics (2 works) · Opinion Dynamics and Social Influence (2 works) · Advertising (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Constant (computer programming (1 work) · Data science (1 work) · Decision process (1 work)