Marcelo Mendoza

Statistical and Nonlinear Physics · 2004–2013

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 71 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 36 citations into it; #422 of 10,127 by trust here, #449 by citations
• Information Systems — 20 citations into it; #452 of 8,771 by trust here, #567 by citations
• Sociology and Political Science — 17 citations into it; #709 of 22,756 by trust here, #1,153 by citations
• Artificial Intelligence — 15 citations into it
• Communication — 15 citations into it; #1,504 of 3,460 by trust here, #774 by citations
• Signal Processing — 7 citations into it; #4,650 of 7,572 by trust here, #4,201 by citations

Whom Marcelo Mendoza trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Amanda Lee Hughes
2. Michael Mathioudakis
3. Leysia Palen
4. Andrew J. Flanagin
5. Carlos Castillo
6. Kirill Kireyev
7. Takeshi Sakaki
8. Nick Koudas
9. Sarah Vieweg
10. Kate Starbird

Who trusts Marcelo Mendoza overall

1. Aditi Gupta
2. Carlos Castillo
3. Jing Ma
4. Kai Shu
5. Zhiwei Jin
6. Arkaitz Zubiaga
7. Ponnurangam Kumaraguru
8. Wei Gao
9. Xinyi Zhou
10. Kate Starbird

Papers from Marcelo Mendoza's perspective

Ordered by how strongly the researchers Marcelo Mendoza trusts endorse each paper. Same corpus, a different order for every researcher.

1. Why we twitter: understanding microblogging usage and communities
2. Twitter adoption and use in mass convergence and emergency events
3. Chatter on the red: what hazards threat reveals about the social life of microblogged information (Conference on Computer Supported Cooperative Work)
4. Perceptions of Internet Information Credibility
5. Twitter under crisis: can we trust what we RT? (SOMA '10)
6. Robust dynamic classes revealed by measuring the response function of a social system
7. Earthquake shakes Twitter users: real-time event detection by social sensors (The Web Conference)
8. Is it really about me?: message content in social awareness streams
9. behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification
10. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)

Their papers

• Information credibility on twitter (2011) — 2,604 citations
• Twitter under crisis: can we trust what we RT? (2010) — 1,106 citations
• Predicting information credibility in time-sensitive social media (2013) — 348 citations
• Do all birds tweet the same?: characterizing twitter around the world (2011) — 147 citations
• Query Recommendation Using Query Logs in Search Engines (2004) — 731 citations