Networks, Crowds, and Markets: Reasoning about a Highly Connected World

By E. David, Kleinberg Jon. 2010

2,132 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Le Song
2. Nan Du
3. Stefano Ermon
4. Bernhard Schölkopf
5. Hongyuan Zha
6. Aditya Grover
7. Yoshua Bengio
8. Manuel Gomez-Rodriguez

Citations in the corpus

• Graphite: Iterative Generative Modeling of Graphs (2018, background): “information sciences, and social sciences, and consequently algorithms for representation learning of such data have several downstream applications, including node classication and link prediction (Easley and Kleinberg, 2010; Liben-Nowell and Kleinberg, 2007). A key reason contributing to ecient le”
• Scalable Influence Estimation in Continuous-Time Diffusion Networks (2013, background): “5]), typically used in physics and graph theory [22] and (iii) hierarchical networks ([0.”
• Click Models for Web Search (2015, background): “, 2001], network and game theory [Easley and Kleinberg, 2010] and learning to rank [Burges et al.”
• What Is Economic Corridor Development and What Can It Achieve in Asia's Subregions? (2013, background): “As such, they have very high ―betweenness,‖ as defined in Easley and Kleinberg (2010) by the amount of transit or traffic flows these links carry.”