Search "+Innovation -Paper/Zannettou2018 -Paper +Paper/Cheng2015 -Paper/Moretti2013griffiths -Popularity +Paper/Iacopini2018 -Paper/Zanude2013 +Paper/Vincent2010"

Positive matches

• 0.111 + - Deviant behavior
• 0.060 + - Basic research
• 0.038 + - Heaps' law
• 0.034 + - Innovation hot spots
• 0.027 + - Generative adversarial networks
• 0.025 + - Diversity
• 0.023 + - Generative adversarial network
• 0.022 + - Cristian Danescu-Niculescu-Mizil
• 0.022 + - Online behavior
• 0.022 + - Jure Leskovec
• 0.022 + - Justin Cheng
• 0.021 + - MusicVAE
• 0.016 + - Isabelle Lajoie
• 0.016 + - Hugo Larochelle
• 0.016 + - Yoshua Bengio
• 0.016 + - Pascal Vincent
• 0.016 + - Pierre-Antoine Manzagol
• 0.016 + - Autoencoder
• 0.010 + - Creative work
• 0.010 + - Andreas Wagner

Negative matches

• 0.141 + - Virality
• 0.111 + - Coarse graining
• 0.066 + - Critical brain hypothesis
• 0.056 + - Graph reduction
• 0.045 + - Criticality
• 0.037 + - pHash
• 0.030 + - Meme
• 0.028 + - Paolo Moretti
• 0.028 + - Griffiths phase
• 0.028 + - Miguel Muñoz
• 0.003 + - Diffusion of innovation
• 0.002 + - Paper/Tshitoyan2019unsupervised
• 0.002 + - Paper/King2000makingthemost
• 0.002 + - Paper/MacKay1991
• 0.002 + - Paper/Kloumann2016blockmodels
• 0.002 + - Paper/Gopalan2012community
• 0.002 + - Paper/Rodriguez2019optimal
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Paper/Levy2014a
• 0.002 + - Paper/Uzzi2013