98 citations · 161 across the 9 of their papers we have counts for
9 papers
Branching process descriptions of information cascades on Twitter
James P. Gleeson, Tomokatsu Onaga, Peter Fennell +3
A detailed analysis of Twitter-based information cascades is performed, and it is demonstrated that branching process hypotheses are approximately satisfied. Using a branching proc…
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition
Peter G Fennell, Zhiya Zuo, Kristina Lerman
Modeling human behavioral data is challenging due to its scale, sparseness (few observations per individual), heterogeneity (differently behaving individuals), and class imbalance…
Degree Correlations Amplify the Growth of Cascades in Networks
Xin-Zeng Wu, Peter G. Fennell, Allon G. Percus +1
Networks facilitate the spread of cascades, allowing a local perturbation to percolate via interactions between nodes and their neighbors. We investigate how network structure affe…
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data
Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman
We describe a data-driven discovery method that leverages Simpson's paradox to uncover interesting patterns in behavioral data. Our method systematically disaggregates data to iden…
Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data
Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman
We investigate how Simpson's paradox affects analysis of trends in social data. According to the paradox, the trends observed in data that has been aggregated over an entire popula…
Multistate dynamical processes on networks: Analysis through degree-based approximation frameworks
Peter G. Fennell, James P. Gleeson
Multistate dynamical processes on networks, where nodes can occupy one of a multitude of discrete states, are gaining widespread use because of their ability to recreate realistic,…
The limitations of discrete-time approaches to continuous-time contagion dynamics
Peter G. Fennell, Sergey Melnik, James P. Gleeson
Continuous-time Markov process models of contagions are widely studied, not least because of their utility in predicting the evolution of real-world contagions and in formulating c…
Visualising stock flow consistent models as directed acyclic graphs
Peter G. Fennell, David O'Sullivan, Antoine Godin +1
We show how every stock-flow consistent model of the macroeconomy can be represented as a directed acyclic graph. The advantages of representing the model in this way include graph…
Analytical approach to the dynamics of facilitated spin models on random networks
Peter G. Fennell, James P. Gleeson, Davide Cellai
Facilitated spin models were introduced some decades ago to mimic systems characterized by a glass transition. Recent developments have shown that a class of facilitated spin model…