activity
20162026
most citedDynamic Network Prediction

6 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

stat.ME2026

A Bayesian hierarchical push-forward method for cluster Randomized Controlled Trial power calculations in complex humanitarian settings

Margaret Elliott, Sonia Jain, Adam Richards +2

The design and evaluation of public health interventions in humanitarian crises demand rigorous yet flexible methodological approaches. Cluster-randomized controlled trials (cRCTs)…

physics.soc-ph2020

Framework for Converting Mechanistic Network Models to Probabilistic Models

Ravi Goyal, JP Onnela

There are two prominent paradigms to the modeling of networks: in the first, referred to as the mechanistic approach, one specifies a set of domain-specific mechanistic rules that…

stat.AP2020

Investigation of Patient-sharing Networks Using a Bayesian Network Model Selection Approach for Congruence Class Models

Ravi Goyal, Victor De Gruttola

A Bayesian approach to conduct network model selection is presented for a general class of network models referred to as the congruence class models (CCMs). CCMs form a broad class…

stat.CO2019

Recursive Formula for Labeled Graph Enumeration

Ravi Goyal, Victor De Gruttola

This manuscript presents a general recursive formula to estimate the size of fibers associated with algebraic maps from graphs to summary statistics of importance for social networ…

cs.SI2018★ 6 cited

Dynamic Network Prediction

Ravi Goyal, Victor De Gruttola

We present a statistical framework for generating predicted dynamic networks based on the observed evolution of social relationships in a population. The framework includes a novel…

math.GM2016

A New Characterisation of Total Graphs

Ravi Goyal, Mahipal Jadeja, Rahul Muthu

Graphs constructed to translate some graph problem into another graph problem are usually called auxiliary graphs. Specifically total graphs of simple graphs are used to translate…