Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Networks of interconnected nodes have long played a key role in Cognitive Science, from
artificial neural networks to spreading activation models of semantic memory. Recently …

Based on an analysis of the literature and a large scale crowdsourcing experiment, we
estimate that an average 20-year-old native speaker of American English knows 42,000 …

Crises in financial markets affect humans worldwide. Detailed market data on trading
decisions reflect some of the complex human behavior that has led to these crises. We …

It is tempting to treat frequency trends from the Google Books data sets as indicators of the
“true” popularity of various words and phrases. Doing so allows us to draw quantitatively …

Financial crises result from a catastrophic combination of actions. Vast stock market datasets
offer us a window into some of the actions that have led to these crises. Here, we investigate …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Vast numbers of scientific articles are published each year, some of which attract
considerable attention, and some of which go almost unnoticed. Here, we investigate …

Is religion to blame for deadly conflicts? Should religious behaviour be credited more often
for acts of charity and altruism? In what ways are religious and 'spiritual'ideas, practices and …

Despite being a paradigm of quantitative linguistics, Zipf's law for words suffers from three
main problems: its formulation is ambiguous, its validity has not been tested rigorously from …