Jana Diesner
Datos Biográficos
| ID | 291073 |
|---|---|
| NOMBRE | Jana Diesner |
| NOMBRES | Jana |
| APELLIDO | Diesner |
| FIRMA | DIESNER J |
| AFILIACIONES | University of Illinois Urbana-Champaign |
| ORCID | 0000-0001-8183-7109 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAS | 7 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2013 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Recommendations for conducting ethical network research
Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national worki…
A probabilistic model of hype reveals a rhetorical shift in biomedicine
Promotional language, or ‘hype,’ characterized by words like novel, outstanding, and promising, has been increasingly observed in scientific writing. To systematically analyze how hype is employed and evolves in structured biomedical abstracts, we introduce a probabilistic model to estimate the propensity of hype in selected candidate words in biomedical abstracts. Our analysis examines the positional distribution of 43 candidate hype words acros…
Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly research
Attracted by the promise of a broader and more egalitarian sample of readers than published book reviews provide, researchers are increasingly scraping social reviewing platforms like Goodreads for data about readers’ behavior. Yet, treating online book reviews as direct proxies for readers and books can be problematic, as they are socially and technically constructed artifacts shaped by platform dynamics, whether between developers and users, or…
Structural balance in real-world social networks
Structural balance theory predicts that triads in networks gravitate towards stable configurations. This theory has been verified for undirected graphs. Since real-world networks are often directed, we introduce a novel method for considering both transitivity and sign consistency for evaluating partial balance in signed digraphs. We test our approach on graphs constructed by using different methods for identifying edge signs: natural language pr…
Recommendations for sharing network data and materials
One of the goals of open science is to promote the transparency and accessibility of research. Sharing data and materials used in network research is critical to these goals. In this paper, we present recommendations for whether, what, when, and where network data and materials should be shared. We recommend that network data and materials should be shared, but access to or use of shared data and materials may be restricted if necessary to avoid …
Enhancing structural balance theory and measurement to analyze signed digraphs of real-world social networks
Structural balance theory assumes triads in networks to gravitate toward stable configurations. The theory has been verified for undirected graphs. Since real-world social networks are often directed, we introduce a novel method for considering both transitivity and sign consistency for calculating balance in signed digraphs. We test our approach on graphs that we constructed by using different methods for identifying edge signs: natural language…
Over-time measurement of triadic closure in coauthorship networks
Small decisions with big impact on data analytics
Big social data have enabled new opportunities for evaluating the applicability of social science theories that were formulated decades ago and were often based on small- to medium-sized samples. Big Data coupled with powerful computing has the potential to replace the statistical practice of sampling and estimating effects by measuring phenomena based on full populations. Preparing these data for analysis and conducting analytics involves a plet…
Semantic Social Networks
Combining Online Maps with Text Analysis
Rapid ethnographic assessment for cultural mapping
Small decisions with big impact on data analytics
Big social data have enabled new opportunities for evaluating the applicability of social science theories that were formulated decades ago and were often based on small- to medium-sized samples. Big Data coupled with powerful computing has the potential to replace the statistical practice of sampling and estimating effects by measuring phenomena based on full populations. Preparing these data for analysis and conducting analytics involves a plet…
Over-time measurement of triadic closure in coauthorship networks
Rapid ethnographic assessment for cultural mapping
Rapid ethnographic assessment for cultural mapping
Semantic Social Networks
Combining Online Maps with Text Analysis
Small decisions with big impact on data analytics
Big social data have enabled new opportunities for evaluating the applicability of social science theories that were formulated decades ago and were often based on small- to medium-sized samples. Big Data coupled with powerful computing has the potential to replace the statistical practice of sampling and estimating effects by measuring phenomena based on full populations. Preparing these data for analysis and conducting analytics involves a plet…
Over-time measurement of triadic closure in coauthorship networks
Enhancing structural balance theory and measurement to analyze signed digraphs of real-world social networks
Structural balance theory assumes triads in networks to gravitate toward stable configurations. The theory has been verified for undirected graphs. Since real-world social networks are often directed, we introduce a novel method for considering both transitivity and sign consistency for calculating balance in signed digraphs. We test our approach on graphs that we constructed by using different methods for identifying edge signs: natural language…
Structural balance in real-world social networks
Structural balance theory predicts that triads in networks gravitate towards stable configurations. This theory has been verified for undirected graphs. Since real-world networks are often directed, we introduce a novel method for considering both transitivity and sign consistency for evaluating partial balance in signed digraphs. We test our approach on graphs constructed by using different methods for identifying edge signs: natural language pr…
Recommendations for sharing network data and materials
One of the goals of open science is to promote the transparency and accessibility of research. Sharing data and materials used in network research is critical to these goals. In this paper, we present recommendations for whether, what, when, and where network data and materials should be shared. We recommend that network data and materials should be shared, but access to or use of shared data and materials may be restricted if necessary to avoid …
Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly research
Attracted by the promise of a broader and more egalitarian sample of readers than published book reviews provide, researchers are increasingly scraping social reviewing platforms like Goodreads for data about readers’ behavior. Yet, treating online book reviews as direct proxies for readers and books can be problematic, as they are socially and technically constructed artifacts shaped by platform dynamics, whether between developers and users, or…
Recommendations for conducting ethical network research
Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national worki…
A probabilistic model of hype reveals a rhetorical shift in biomedicine
Promotional language, or ‘hype,’ characterized by words like novel, outstanding, and promising, has been increasingly observed in scientific writing. To systematically analyze how hype is employed and evolves in structured biomedical abstracts, we introduce a probabilistic model to estimate the propensity of hype in selected candidate words in biomedical abstracts. Our analysis examines the positional distribution of 43 candidate hype words acros…
Computer Science (8 obras) · Complex Network Analysis Techniques (6 obras) · Artificial Intelligence (3 obras) · Data science (3 obras) · Natural language processing (3 obras) · Opinion Dynamics and Social Influence (3 obras) · Computational and Text Analysis Methods (2 obras) · Data mining (2 obras) · Information retrieval (2 obras) · Mathematics (2 obras)