13 citations · 45 across the 13 of their papers we have counts for
13 papers
Learning to Infer Structures of Network Games
Emanuele Rossi, Federico Monti, Yan Leng +2
Strategic interactions between a group of individuals or organisations can be modelled as games played on networks, where a player's payoff depends not only on their actions but al…
Social Learning and the Accuracy-Risk Trade-off in the Wisdom of the Crowd
Dhaval Adjodah, Yan Leng, Shi Kai Chong +3
How do we design and deploy crowdsourced prediction platforms for real-world applications where risk is an important dimension of prediction performance? To answer this question, w…
Interpretable Stochastic Block Influence Model: measuring social influence among homophilous communities
Yan Leng, Tara Sowrirajan, Alex Pentland
Decision-making on networks can be explained by both homophily and social influence. While homophily drives the formation of communities with similar characteristics, social influe…
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements
Yan Leng, Yujia Zhai, Shaojing Sun +6
COVID-19 resulted in an infodemic, which could erode public trust, impede virus containment, and outlive the pandemic itself. The evolving and fragmented media landscape is a key d…
Learning Quadratic Games on Networks
Yan Leng, Xiaowen Dong, Junfeng Wu +1
Individuals, or organizations, cooperate with or compete against one another in a wide range of practical situations. Such strategic interactions are often modeled as games played…
Profiling presence patterns and segmenting user locations from cell phone data
Yan Leng, Haris Koutsopoulos, Jinhua Zhao
The dynamic monitoring of commuting flows is crucial for improving transit systems in fast-developing cities around the world. However, existing methodology to infer commuting orig…
Contextual Centrality: Going Beyond Network Structures
Yan Leng, Yehonatan Sella, Rodrigo Ruiz +1
Centrality is a fundamental network property which ranks nodes by their structural importance. However, structural importance may not suffice to predict successful diffusions in a…
Familiar Strangers: the Collective Regularity in Human Behaviors
Yan Leng, Dominiquo Santistevan, Alex Pentland
The social phenomenon of familiar strangers was identified by Stanley Milgram in 1972 with a small-scale experiment. However, there has been limited research focusing on uncovering…
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd
Dhaval Adjodah, Shi Kai Chong, Yan Leng +2
In this study, we build on previous research to understand the conditions within which the Wisdom of the Crowd (WoC) improves or worsens as a result of showing individuals the pred…
Social Bayesian Learning in the Wisdom of the Crowd
Dhaval Adjodah, Yan Leng, Shi Kai Chong +2
Being able to correctly aggregate the beliefs of many people into a single belief is a problem fundamental to many important social, economic and political processes such as policy…
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies
Dhaval Adjodah, Dan Calacci, Yan Leng +3
We draw upon a previously largely untapped literature on human collective intelligence as a source of inspiration for improving deep learning. Implicit in many algorithms that atte…
Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata
Yan Leng, Alejandro Noriega, Alex 'Sandy' Pentland +3
Tourism has been an increasingly important factor in global economy, society and environment, accounting for a significant share of GDP and labor force. Policy and research on tour…
Managing travel demand: Location recommendation for system efficiency based on mobile phone data
Yan Leng, Larry Rudolph, Alex 'Sandy' Pentland +2
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic co…