Daniel M. Romero

Last updated
Daniel M. Romero
NationalityColombian-American
Education Arizona State University (BS)
Cornell University (PhD)
Known forNetwork analysis
Social media analysis
Information diffusion modeling
Scientific career
Fields
Institutions
Thesis Dynamics Of Social Network Evolution And Information Diffusion  (2012)
Doctoral advisor Jon Kleinberg
Website dromero.org

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]

Contents

Early life and education

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

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]

Selected works

Related Research Articles

<span class="mw-page-title-main">Network theory</span> Study of graphs as a representation of relations between discrete objects

In mathematics, computer science and network science, network theory is a part of graph theory. It defines networks as graphs where the vertices or edges possess attributes. Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) components.

<span class="mw-page-title-main">Jon Kleinberg</span> American computer scientist

Jon Michael Kleinberg is an American computer scientist and the Tisch University Professor of Computer Science and Information Science at Cornell University known for his work in algorithms and networks. He is a recipient of the Nevanlinna Prize by the International Mathematical Union.

<span class="mw-page-title-main">Homophily</span> Process by which people befriend similar people

Homophily is a concept in sociology describing the tendency of individuals to associate and bond with similar others, as in the proverb "birds of a feather flock together". The presence of homophily has been discovered in a vast array of network studies: over 100 studies have observed homophily in some form or another, and they establish that similarity is associated with connection. The categories on which homophily occurs include age, gender, class, and organizational role.

<span class="mw-page-title-main">Social contagion</span> Spontaneous spread of behavior or emotions among a group

Social contagion involves behaviour, emotions, or conditions spreading spontaneously through a group or network. The phenomenon has been discussed by social scientists since the late 19th century, although much work on the subject was based on unclear or even contradictory conceptions of what social contagion is, so exact definitions vary. Some scholars include the unplanned spread of ideas through a population as social contagion, though others prefer to class that as memetics. Generally social contagion is understood to be separate from the collective behaviour which results from a direct attempt to exert social influence.

The concept of team science is a field of scientific philosophy and methodology which advocates using cross-disciplinary collaboration from diverse scientific fields to solve present-day to day problems. The field encompasses conceptual and methodological strategies aimed at understanding and enhancing the processes and outcomes of collaborative, team-based research by pooling resources from different countries, labs and groups to solve problems.

<span class="mw-page-title-main">Kathleen Carley</span> American social scientist

Kathleen M. Carley is an American computational social scientist specializing in dynamic network analysis. She is a professor in the School of Computer Science in the Carnegie Mellon Institute for Software Research at Carnegie Mellon University and also holds appointments in the Tepper School of Business, the Heinz College, the Department of Engineering and Public Policy, and the Department of Social and Decision Sciences.

Complex contagion is the phenomenon in social networks in which multiple sources of exposure to an innovation are required before an individual adopts the change of behavior. It differs from simple contagion in that unlike a disease, it may not be possible for the innovation to spread after only one incident of contact with an infected neighbor. The spread of complex contagion across a network of people may depend on many social and economic factors; for instance, how many of one's friends adopt the new idea as well as how many of them cannot influence the individual, as well as their own disposition in embracing change.

<span class="mw-page-title-main">Social network</span> Social structure made up of a set of social actors

A social network is a social structure made up of a set of social actors, sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.

Research networking (RN) is about using tools to identify, locate and use research and scholarly information about people and resources. Research networking tools serve as knowledge management systems for the research enterprise. RN tools connect institution-level/enterprise systems, national research networks, publicly available research data, and restricted/proprietary data by harvesting information from disparate sources into compiled profiles for faculty, investigators, scholars, clinicians, community partners and facilities. RN tools facilitate collaboration and team science to address research challenges through the rapid discovery and recommendation of researchers, expertise and resources.

Robert David Kleinberg is an American theoretical computer scientist and professor of Computer Science at Cornell University.

<span class="mw-page-title-main">Filippo Menczer</span> American and Italian computer scientist

Filippo Menczer is an American and Italian academic. He is a University Distinguished Professor and the Luddy Professor of Informatics and Computer Science at the Luddy School of Informatics, Computing, and Engineering, Indiana University. Menczer is the Director of the Observatory on Social Media, a research center where data scientists and journalists study the role of media and technology in society and build tools to analyze and counter disinformation and manipulation on social media. Menczer holds courtesy appointments in Cognitive Science and Physics, is a founding member and advisory council member of the IU Network Science Institute, a former director the Center for Complex Networks and Systems Research, a senior research fellow of the Kinsey Institute, a fellow of the Center for Computer-Mediated Communication, and a former fellow of the Institute for Scientific Interchange in Turin, Italy. In 2020 he was named a Fellow of the ACM.

<span class="mw-page-title-main">Lada Adamic</span> American network scientist

Lada Adamic is an American network scientist, who researches information dynamics in networks. She studies how network structure influences the flow of information, how information influences the evolution of networks, and crowdsourced knowledge sharing.

<span class="mw-page-title-main">Jure Leskovec</span> Slovene computer scientist

Jure Leskovec is a Slovenian computer scientist, entrepreneur and associate professor of Computer Science at Stanford University focusing on networks. He was the chief scientist at Pinterest.

The International School and Conference on Network Science, also called NetSci, is an annual conference focusing on networks. It is organized yearly since 2006 by the Network Science Society. Physicists are especially prominently represented among the participants, though people from other backgrounds attend as well. The study of networks expanded at the end of the twentieth century, with increasing citation of some seminal papers.

<span class="mw-page-title-main">Damon Centola</span> Researcher in network science and related at the University of Pennsylvania

Damon Centola is an American sociologist and the Elihu Katz Professor of Communication, Sociology and Engineering at the University of Pennsylvania, where he is Director of the Network Dynamics Group and Senior Fellow at the Leonard Davis Institute of Health Economics.

Each year since 2018, the Network Science Society selects up to 7 members of the network science community to be Fellows based on their enduring contributions to network science research and to the community of network scientists. Fellows are chosen from nominations received by the Network Science Society Fellowship Committee and are announced at the NetSci Conference hosted every year.

Dashun Wang is a Professor of Management and Organizations at the Kellogg School of Management and the McCormick School of Engineering, at Northwestern University. In 2019, he became the Founding Director of the Center for Science of Science and Innovation (CSSI). He is also a core faculty member at the Northwestern Institute on Complex Systems (NICO) and an Adjunct Professor of Department of Physics, at Northeastern University. In 2023, he co-founded the Ryan Institute on Complexity. Wang is a recipient of the AFOSR Young Investigator award (2016) and Poets & Quants Best 40 Under 40 Professors (2019).

Roberta Sinatra is an Italian scientist and associate professor at the IT University of Copenhagen. She is known for her work in network science and conducts research on quantifying success in science.

Mirta Galesic is a Croatian American psychologist who is the Cowan Chair in Human Social Dynamics at the Santa Fe Institute. She serves as a member of the faculty at the Complexity Science Hub Vienna.

Brian Uzzi is an American sociologist and the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He is known for his work on problems in the fields of sociology, network science, the science of science, and complex systems. He is the co-director of the Northwestern Institute on Complex Systems (NICO), is a professor of sociology, and a professor of Industrial Engineering and Management Sciences at the McCormick School of Engineering. Since 2019, Uzzi has written a column for Forbes on Leadership and artificial intelligence.

References

  1. 1 2 "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.