Wikipedia

Daniel M. Romero

Daniel M. Romero is a Colombian-American computer scientist and Associate Professor in the University of Michigan School of Information and the Center for Study of Complex Systems.[1] He is known for his work on social networks and information diffusion.[2]

Daniel M. Romero
NationalityColombian-American
EducationArizona State University (BS)
Cornell University (PhD)
Known forNetwork analysis
Social media analysis
Information diffusion modeling
Scientific career
Fields
Institutions
ThesisDynamics Of Social Network Evolution And Information Diffusion (2012)
Doctoral advisorJon Kleinberg
Websitedromero.org

Early life and education edit

Daniel M. Romero was born in Bogotá, Colombia. He received a B.S. in Mathematics Magna Cum Laude at Arizona State University in 2006 and a Ph.D. in Applied Mathematics from Cornell University in 2012.[1]

Career and research edit

Romero was a Postdoctoral Fellow at the Northwestern Institute for Complex Systems (NICO) at Northwestern University from 2012 to 2013. He joined the School of Information faculty at the University of Michigan in 2014, where he is currently an Associate Professor. Romero is also appointed within the University of Michigan College of Engineering and the Center for the Study of Complex Systems.[3]

Romero's work focuses on the study of the evolution of social and information networks and the diffusion of information in social media. His work has been covered by the media including the New York Times,[4] the Wall Street Journal,[5] The Economist,[6] The New Scientist,[7][8] among others.[9][10][11][12] His research has been cited over 5,000 times according to Google Scholar.[13] His article on the impact of exogenous shocks on the structure of social networks won Best Paper award at The Web Conference in 2016.[14] He has received awards from the National Science Foundation (NSF)[15][16] as well as the AFOSR Young Investigator award.[17]

Romero's most recent work and contributions on social media behavioral diffusion includes: Social Acceptability of Health Behavior Posts on Social Media: An Experiment in 2024, conducted on a group of adults who use the platform X formerly known as Twitter to evaluate the coloration and influence between heath behaviors and social media content such as, smoking tobacco, drinking alcohol, physical activities and eating food.18 The Gender Gap in Scholarly Self-Promotion on Social Media 2022,19 Dynamics of Cross-Platform Attention to Retreaded Papers 2022,20 Uncovering the Relationship Between Food-Related Discussion on Twitter and Neighborhood Characteristics in 2020.21

Selected works edit

  • Satyam Mukherjee, Daniel M. Romero, Ben Jones, and Brian Uzzi, (2017), "The Nearly Universal Link Between the Age of Past Knowledge and Tomorrow’s Breakthroughs in Science and Technology: The Hotspot." Science advances 3, no. 4: e1601315.
  • Daniel M. Romero, Brian Uzzi, and Jon Kleinberg, (2016), "Social Networks Under Stress." In Proceedings of the 25th International Conference on World Wide Web (pp. 9–20).
  • Daniel M. Romero, Roderick I. Swaab, Brian Uzzi, and Adam Galinsky, (2015), "Mimicry is Presidential: Linguistic Style Matching in Presidential Debates and Improved Polling Numbers." Personality and Social Psychology Bulletin 41, no. 10: 1311-1319.
  • Daniel M. Romero, Brendan Meeder, and Jon Kleinberg, (2011), "Differences in the Mechanics of Information Diffusion Across Topics: Idioms, Political Hashtags, and Complex Contagion on Twitter." In Proceedings of the 20th international conference on World wide web (pp. 695–704).
  • Bernardo Huberman, Daniel M. Romero, and Fang Wu, (2009), "Social Networks That Matter: Twitter Under the Microscope." First Monday.

References edit

  1. ^ a b "Daniel Romero | University of Michigan School of Information". Retrieved 2021-07-06.
  2. ^ Romero, Daniel (27 May 2012). "Dynamics Of Social Network Evolution And Information Diffusion". Retrieved 2021-07-06.
  3. ^ "Daniel M Romero". Retrieved 2021-07-02.
  4. ^ Singer, Natasha (2011-02-05). "Why Some Twitter Posts Catch On, and Some Don't". The New York Times. Retrieved 2021-07-02.
  5. ^ Pilon, Mary (2009-02-20). "Exploring Twitter Ties". The Wall Street Journal. Retrieved 2021-07-02.
  6. ^ "Seeking influence". The Economist. 2010-11-19. Retrieved 2021-07-02.
  7. ^ "Web content contributors seek attention not altruism". New Scientist. 2008-10-01. Retrieved 2021-07-02.
  8. ^ Mullins, Justin (2010-09-09). "New formula shows who's really top of the tweeters". New Scientist. Retrieved 2021-07-02.
  9. ^ Uzzi, Brian (2016-03-09). "This Can Be Hillary Clinton's Secret Weapon In Tonight's Debate". Forture. Retrieved 2021-07-02.
  10. ^ Jacobs, Tom (2017-05-03). "As my esteemed opponent said..." Pacific Standard. Retrieved 2021-07-02.
  11. ^ Lewis, Kevin (2015-08-05). "Debate tip: Follow your opponent's lead". The Boston Globe. Retrieved 2021-07-02.
  12. ^ Singal, Jesse (2015-08-06). "These Social-Science Nuggets Can Make You a Smarter Debate-Watcher". New York Magazine. Retrieved 2021-07-02.[permanent dead link]
  13. ^ "Daniel M. Romero – Google Scholar Citations". Retrieved 2021-07-02.
  14. ^ "Kleinberg co-wins best paper award at WWW 2016". 21 April 2016. Retrieved 2021-07-02.
  15. ^ "CHS: Small: Large-Scale Examination of the Impact of Shocks on Crowd Attributes and Performance in Collaborative Volunteering Systems". Retrieved 2021-07-02.
  16. ^ "CHS: Small: The Ties that Relate Us: Modeling the Impact of Relationships on Social Contagion and Network Dynamics". Retrieved 2021-07-02.
  17. ^ "AFOSR Awards Grants to 31 Scientists and Engineers through its Young Investigator Research Program". Wright-Patterson Afb. Retrieved 2021-07-02.

Sources edit

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