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Daniel M. Romero
University of Michigan
Internet privacyMachine learningComputer scienceSocial mediaSocial network
45Publications
17H-index
3,037Citations
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Apr 20, 2020 in WWW (The Web Conference)
#1Danaja Maldeniya (UM: University of Michigan)H-Index: 1
Last. Daniel M. Romero (UM: University of Michigan)H-Index: 17
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#1Daniel Romero (French Institute of Health and Medical Research)H-Index: 11
#1Daniel M. RomeroH-Index: 17
Last. Alfredo HernandezH-Index: 17
view all 7 authors...
Brugada syndrome (BS) is a genetic pathological condition associated with a high risk for sudden cardiac death (SCD). Ventricular depolarization disorders have been suggested as a potential electrophysiological mechanism associated with high SCD risk on patients with BS. This paper aims to characterize the dynamic changes of ventricular depolarization observed during physical exercise in symptomatic and asymptomatic BS patients. To this end, cardiac ventricular depolarization features were autom...
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#1V. G. Vinod Vydiswaran (UM: University of Michigan)H-Index: 13
#2Daniel M. Romero (UM: University of Michigan)H-Index: 17
Last. Tiffany C. Veinot (UM: University of Michigan)H-Index: 21
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OBJECTIVE: Initiatives to reduce neighborhood-based health disparities require access to meaningful, timely, and local information regarding health behavior and its determinants. We examined the validity of Twitter as a source of information for neighborhood-level analysis of dietary choices and attitudes. MATERIALS AND METHODS: We analyzed the "healthiness" quotient and sentiment in food-related tweets at the census tract level, and associated them with neighborhood characteristics and health o...
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Understanding the structure of knowledge domains has been one of the foundational challenges in the science of science. Although there have been a series of studies on the self-organized structure of knowledge domains and their relationships, creating rich, coherent, and quantitative representation frameworks is still an open challenge. Meanwhile, neural embedding methods, which learn continuous vector representations of entities by using neural networks and contextual information, are emerging ...
#1Tawfiq Ammari (UM: University of Michigan)H-Index: 7
#2Sarita Schoenebeck (UM: University of Michigan)H-Index: 15
Last. Daniel M. Romero (UM: University of Michigan)H-Index: 17
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Parents can be subjected to scrutiny and judgment for their parenting choices. Much of this scrutiny is experienced online, especially around stigmatized topics such as divorce, custody, postpartum depression, and miscarriage. Prior theory suggests that parents might be able to access greater support online when anonymous, but other evidence suggests that anonymity may increase bad behavior. Drawing from ten years of Reddit parenting boards, we show that parents are more likely to discuss potent...
1 CitationsSource
The rapid diffusion of information and the adoption of ideas are of critical importance in situations as diverse as emergencies, collective actions, or advertising and marketing. Although the dynamics of large cascades have been extensively studied in various contexts, few have examined the mechanisms that govern the efficiency of information diffusion. Here, by employing the linear threshold model on networks with communities, we demonstrate that a prominent network feature---the modular struct...
May 13, 2019 in WWW (The Web Conference)
#1Tiago Cunha (UM: University of Michigan)H-Index: 1
#2David Jurgens (UM: University of Michigan)H-Index: 18
Last. Daniel M. Romero (UM: University of Michigan)H-Index: 17
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The proliferation of online communities has created exciting opportunities to study the mechanisms that explain group success. While a growing body of research investigates community success through a single measure - typically, the number of members - we argue that there are multiple ways of measuring success. Here, we present a systematic study to understand the relations between these success definitions and test how well they can be predicted based on community properties and behaviors from ...
1 CitationsSource
May 13, 2019 in WWW (The Web Conference)
#1Hao Peng (UM: University of Michigan)
#2Ceren Budak (UM: University of Michigan)H-Index: 12
Last. Daniel M. Romero (UM: University of Michigan)H-Index: 17
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Online social movements (OSMs) play a key role in promoting democracy in modern society. Most online activism is largely driven by critical offline events. Among many studies investigating collective behavior in OSMs, few has explored the interaction between crowd dynamics and their offline context. Here, focusing on the Black Lives Matter OSM and utilizing an event-driven approach on a dataset of 36 million tweets and thousands of offline events, we study how different types of offline events-p...
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Apr 3, 2019 in ICWSM (International Conference on Weblogs and Social Media)
#1Ark Fangzhou Zhang (UM: University of Michigan)H-Index: 1
#2Ruihan Wang (UM: University of Michigan)
Last. Daniel M. Romero (UM: University of Michigan)H-Index: 17
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User participation is vital to the success of collaborative crowdsourcing platforms such as Wikipedia. Previously user participation has been studied during “normal times”. However, less is known about participation following shocks that draw attention to an article. Such events can be recruiting opportunities due to increased attention; but can also pose a threat to the quality and control of the article and drive away newcomers. We study the collaborative dynamics of Wikipedia articles after t...
#1Daniel M. Romero (UM: University of Michigan)H-Index: 17
#2Brian Uzzi (NU: Northwestern University)H-Index: 34
Last. Jon Klienberg (Cornell University)H-Index: 92
view all 3 authors...
Social network research has begun to take advantage of fine-grained communications regarding coordination, decision-making, and knowledge sharing. These studies, however, have not generally analyzed how external events are associated with a social network’s structure and communicative properties. Here, we study how external events are associated with a network’s change in structure and communications. Analyzing a complete dataset of millions of instant messages among the decision-makers with dif...
1 CitationsSource
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