# talk

## Quantifying uncertainty in a predictive model for popularity dynamics

The Hawkes process is a form of point process which is self-exciting in nature, implying that the occurrence of events increases the likelihood of further events in the future. This process has garnered much attention in recent years for its …

## Spreading of memes on multiplex networks

A model for the spreading of online information on multiplex networks is introduced and analyzed using branching-process methods. We demonstrate that the dynamical system is, in the limit of low innovation, poised near a critical point, which is …

## Sporting contests through the lens of complex systems: A data-driven approach

Multiple facets of society have been studied in recent times due to the emergence of large-scale datasets arising from digital traces being created each day, these include content popularity on social media, disease spreading, and financial …

## What makes a good (fantasy) football manager? - webscraping and data analysis in R

Arising from the desire for spectators of sporting contests to obtain more enjoyment, Fantasy sports have become increasing popular in recent years. These sports involve competitors to create virtual teams that score points based upon the statistical …

## A Generalization of the Classical Kelly Betting Formula to the Case of Temporal Correlation

For sequential betting games, Kelly's theory, aimed at maximization of the logarithmic growth of one's account value, involves optimization of the so-called betting fraction $K$. In this paper, we extend the classical formulation to allow for …

## O’Sullivan, Hendry, Davies,...? A complex networks approach to ranking professional Snooker players

The question is often posed regarding who is the greatest competitor within a given sport resulting in endless debates without definitive answer and is generally discussed via qualitative, rather than quantitative, arguments. In this talk we consider …

## Branching Processes and their Application to Popularity Dynamics

Arising from a desire to understand the likelihood of a family name becoming extinct, branching processes have a rich history and have been shown to be applicable to a wide range of domains. The simplest description of these processes is the case …

## Anderson-like localization in real-world non-normal networks

In this talk we discuss the level of localization present within the Laplacian matrix of a large collection of empirical networks and demonstrate how it is related to the spectral properties of these network's adjacency.

## Identification of skill in an online game: The case of Fantasy Premier League

In this talk we consider what makes a successful Fantasy Premier League manager through a combination of data science, networks, and statistical analysis.

## Webscraping with R

We'll run through some of the advantages of webscrpaing ones own data alongside some examples using the R language to scrape from a variety of data sources.