The London Institute’s papers are the official record of our discoveries. They allow others to build on and apply our work. Each one is the result of many months of research, so we strive to make them clear, inspiring and beautiful, and publish them in leading journals.

Image for the paper "Resolution of ranking hierarchies in directed networks"
Financial networks

Hierarchies in directed networks

An iterative version of a method to identify hierarchies and rankings of nodes in directed networks can partly overcome its resolution limit.

PBPaolo BaruccaELFL
PLoS ONE
Image for the paper "Debunking in a world of tribes"
Network theory

Debunking in a world of tribes

When people operate in echo chambers, they focus on information adhering to their system of beliefs. Debunking them is harder than it seems.

GCGuido CaldarelliFZABMVLSSHWQ
PLoS ONE
Image for the paper "Distress propagation in complex networks: the case of non-linear DebtRank"
Complex networks, Financial risk

Non-linear distress propagation

Non-linear models of distress propagation in financial networks characterise key regimes where shocks are either amplified or suppressed.

MBMarco BardosciaGCGuido CaldarelliFCJPGV
PLoS ONE
Image for the paper "Bounds on transient instability for complex ecosystems"
Financial markets

Instability in complex ecosystems

The community matrix of a complex ecosystem captures the population dynamics of interacting species and transitions to unstable abundances.

FCFrancesco CaravelliPS
PLoS ONE
Financial markets

News sentiment and price dynamics

News sentiment analysis and web browsing data are unilluminating alone, but inspected together, predict fluctuations in stock prices.

GCGRIBGBFLMT
PLoS ONE
Financial markets

Effect of Twitter on stock prices

When the number of tweets about an event peaks, the sentiment of those tweets correlates strongly with abnormal stock market returns.

GCGRDAMGIM
PLoS ONE
Complex networks

Collective attention to politics

Tweet volume is a good indicator of political parties' success in elections when considered over an optimal time window so as to minimise noise.

GCYEMPJSIM
PLoS ONE
Financial risk

DebtRank and shock propagation

A dynamical microscopic theory of instability for financial networks reformulates the DebtRank algorithm in terms of basic accounting principles.

MBGCSBFC
PLoS ONE
Economic complexity

Dynamics of economic complexity

Dynamical systems theory predicts the growth potential of countries with heterogeneous patterns of evolution where regression methods fail.

LPMCAT
PLoS ONE
Economic complexity

Taxonomy and economic growth

Less developed countries have to learn simple capabilities in order to start a stable industrialization and development process.

LPAZMCAT
PLoS ONE
Network theory

Self-healing complex networks

The interplay between redundancies and smart reconfiguration protocols can improve the resilience of networked infrastructures to failures.

GCASWQ
PLoS ONE
Economic complexity

Measuring the intangibles

Coupled non-linear maps extract information about the competitiveness of countries to the complexity of their products from trade data.

GCLPMCAGAT
PLoS ONE
Economic complexity

Network analysis of export flows

Network theory finds unexpected interactions between the number of products a country produces and the number of countries producing each product.

GCLPASMCAGAT
PLoS ONE
Mathematical medicine

Networks for medical data

Network analysis of diagnostic data identifies combinations of the key factors which cause Class III malocclusion and how they evolve over time.

ASGCPAMSJMLF
PLoS ONE
Financial markets

Search queries predict stocks

Analysis of web search queries about a given stock, from the seemingly uncoordinated activity of many users, can anticipate the trading peak.

GCIBSBMCAUIW
PLoS ONE