Daniel Gayo-Avello

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 5 papers; trusts 40 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #8,450 of 35,345 by trust here, #15,236 by citations
• Statistical and Nonlinear Physics — 22 citations into it; #3,180 of 10,127 by trust here, #5,011 by citations
• Sociology and Political Science — 18 citations into it; #2,540 of 22,756 by trust here, #6,703 by citations
• Communication — 14 citations into it; #1,105 of 3,460 by trust here, #2,267 by citations
• Economics and Econometrics — 14 citations into it
• Epidemiology — 14 citations into it; #1,314 of 2,148 by trust here, #1,657 by citations
• Information Systems — 13 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Daniel Gayo-Avello trusts overall

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

1. Lei Zhang
2. Daniel Hopkins
3. Andrea Ceron
4. Brendan T. O'Connor
5. Andranik Tumasjan
6. Gilad Mishne
7. Johan Bollen
8. Hyunyoung Choi
9. B. Liu
10. Marco Pennacchiotti

Who trusts Daniel Gayo-Avello overall

1. Q. Liao
2. Alexandra Olteanu
3. Fons Wijnhoven
4. Saif M. Mohammad
5. Wai-Tat Fu
6. Carlos Castillo
7. Fernando Diaz
8. Oscar Bloemen
9. Wei Gong
10. M. Strohmaier

Papers from Daniel Gayo-Avello's perspective

Ordered by how strongly the researchers Daniel Gayo-Avello trusts endorse each paper. Same corpus, a different order for every researcher.

1. Predicting the Future with Social Media
2. Latent Dirichlet Allocation
3. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
4. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
5. GloVe: Global Vectors for Word Representation
6. Twitter mood predicts the stock market
7. Pattern Recognition and Machine Learning
8. Efficient Estimation of Word Representations in Vector Space
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Detecting influenza epidemics using search engine query data

Their papers

• "I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" - A Balanced Survey on Election Prediction using Twitter Data (2012) — 244 citations
• Limits of Electoral Predictions Using Twitter (2011) — 302 citations
• A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data (2012) — 322 citations
• How (Not) to Predict Elections (2011) — 302 citations
• The power of prediction with social media (2013) — 227 citations