Camila Espina
Biographic Data
| ID | 4267022 |
|---|---|
| NAME | Camila Espina |
| GIVEN NAMES | Camila |
| FAMILY NAME | Espina |
| SIGNATURE | ESPINA C |
| AFFILIATIONS | University of Georgia |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Living at the Speed of Mobile
A growing body of research suggests that differences between smartphones and desktop computers influence information processing outcomes. A within-subjects ( N = 64) smartphone eye-tracking experiment replicates a 2018 desktop-based study of users’ visual attention to and engagement with social media news posts. The results show that users spend less time viewing social media news posts on smartphones than desktop, and report lower levels of plea…
Classifying Twitter Topic-Networks Using Social Network Analysis
As users interact via social media spaces, like Twitter, they form connections that emerge into complex social network structures. These connections are indicators of content sharing, and network structures reflect patterns of information flow. This article proposes a conceptual and practical model for the classification of topical Twitter networks, based on their network-level structures. As current literature focuses on the classification of us…
Classifying Twitter Topic-Networks Using Social Network Analysis
As users interact via social media spaces, like Twitter, they form connections that emerge into complex social network structures. These connections are indicators of content sharing, and network structures reflect patterns of information flow. This article proposes a conceptual and practical model for the classification of topical Twitter networks, based on their network-level structures. As current literature focuses on the classification of us…
Classifying Twitter Topic-Networks Using Social Network Analysis
As users interact via social media spaces, like Twitter, they form connections that emerge into complex social network structures. These connections are indicators of content sharing, and network structures reflect patterns of information flow. This article proposes a conceptual and practical model for the classification of topical Twitter networks, based on their network-level structures. As current literature focuses on the classification of us…
Living at the Speed of Mobile
A growing body of research suggests that differences between smartphones and desktop computers influence information processing outcomes. A within-subjects ( N = 64) smartphone eye-tracking experiment replicates a 2018 desktop-based study of users’ visual attention to and engagement with social media news posts. The results show that users spend less time viewing social media news posts on smartphones than desktop, and report lower levels of plea…
Computer Science (2 works) · Social media (2 works) · World Wide Web (2 works) · Advertising (1 works) · Arousal (1 works) · Business (1 works) · Complex Network Analysis Techniques (1 works) · Conversation (1 works) · Data mining (1 works) · Data science (1 works)