Johan Bollen
Biographic Data
| ID | 1571813 |
|---|---|
| NAME | Johan Bollen |
| GIVEN NAMES | Johan |
| FAMILY NAME | Bollen |
| SIGNATURE | BOLLEN J |
| AFFILIATIONS | Indiana University Bloomington |
| ORCID | 0000-0001-7031-9293 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
The innovation trade-off
Academic success is distributed unequally; a few top scientists receive the bulk of attention, citations, and resources. However, do these “superstars” foster leadership in scientific innovation? We employ a series of information-theoretic measures that quantify novelty, innovation, and impact from scholarly citation networks, and compare the academic output of scientists in the American Physical Society corpus with varying levels of connections …
Digital technology use, physical activity, and internalizing symptoms in adolescence
Adolescent social media use is increasing, raising concerns about its impact on mental health. This study aimed to (1) examine differences in adolescent digital technology interactions pre- and post-COVID−19, (2) assess associations between technology use and internalizing symptoms (depression and anxiety) by gender and age, and (3)evaluate physical activity as a potential mediator of these associations. We analyzed two cross-sectional, quota-sam…
ChatGPT
Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)
Pre-Exposure Prophylaxis (PrEP) interventions are increasingly prevalent on social media. These data can be mined for insights about PrEP that may not be as apparent in surveys including personal musings about PrEP and barriers/facilitators to PrEP uptake. This study explores online discourse about PrEP using an interdisciplinary public health and computational informatics approach. We collected (N = 4,020) tweets using Twitter's Application Prog…
Individuals with depression express more distorted thinking on social media
Rethinking resource allocation in science
US funding agencies alone distribute a yearly total of roughly $65B dollars largely through the process of proposal peer review: scientists compete for project funding by submitting grant proposals which are evaluated by selected panels of peer reviewers. Similar funding systems are in place in most advanced democracies. However, in spite of its venerable history, proposal peer review is increasingly struggling to deal with the increasing mismatc…
Network Happiness
The minute-scale dynamics of online emotions reveal the effects of affect labeling
More Tweets, More Votes
Is social media a valid indicator of political behavior? There is considerable debate about the validity of data extracted from social media for studying offline behavior. To address this issue, we show that there is a statistically significant association between tweets that mention a candidate for the U.S. House of Representatives and his or her subsequent electoral performance. We demonstrate this result with an analysis of 542,969 tweets ment…
Temporal Patterns of Happiness and Information in a Global Social Network
Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales rangi…
Twitter mood predicts the stock market
Distributed (design) knowledge exchange
Distributed (design) knowledge exchange
Temporal Patterns of Happiness and Information in a Global Social Network
Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales rangi…
Twitter mood predicts the stock market
More Tweets, More Votes
Is social media a valid indicator of political behavior? There is considerable debate about the validity of data extracted from social media for studying offline behavior. To address this issue, we show that there is a statistically significant association between tweets that mention a candidate for the U.S. House of Representatives and his or her subsequent electoral performance. We demonstrate this result with an analysis of 542,969 tweets ment…
Network Happiness
The minute-scale dynamics of online emotions reveal the effects of affect labeling
Rethinking resource allocation in science
US funding agencies alone distribute a yearly total of roughly $65B dollars largely through the process of proposal peer review: scientists compete for project funding by submitting grant proposals which are evaluated by selected panels of peer reviewers. Similar funding systems are in place in most advanced democracies. However, in spite of its venerable history, proposal peer review is increasingly struggling to deal with the increasing mismatc…
Individuals with depression express more distorted thinking on social media
Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP)
Pre-Exposure Prophylaxis (PrEP) interventions are increasingly prevalent on social media. These data can be mined for insights about PrEP that may not be as apparent in surveys including personal musings about PrEP and barriers/facilitators to PrEP uptake. This study explores online discourse about PrEP using an interdisciplinary public health and computational informatics approach. We collected (N = 4,020) tweets using Twitter's Application Prog…
ChatGPT
The innovation trade-off
Academic success is distributed unequally; a few top scientists receive the bulk of attention, citations, and resources. However, do these “superstars” foster leadership in scientific innovation? We employ a series of information-theoretic measures that quantify novelty, innovation, and impact from scholarly citation networks, and compare the academic output of scientists in the American Physical Society corpus with varying levels of connections …
Digital technology use, physical activity, and internalizing symptoms in adolescence
Adolescent social media use is increasing, raising concerns about its impact on mental health. This study aimed to (1) examine differences in adolescent digital technology interactions pre- and post-COVID−19, (2) assess associations between technology use and internalizing symptoms (depression and anxiety) by gender and age, and (3)evaluate physical activity as a potential mediator of these associations. We analyzed two cross-sectional, quota-sam…
Psychology (7 works) · Computer Science (6 works) · Social Psychology (5 works) · Social media (4 works) · Business (3 works) · Economics (3 works) · Political science (3 works) · Cognition (2 works) · Cognitive psychology (2 works) · Communication (2 works)