Publications

A Framework for Reconstructing Archaeological Networks using Exponential Random Graph Models

We present a general framework in which we combine exponential random graph models with archaeological substantiations of mechanisms …

Reconstructing Archaeological Networks with Structural Holes

We consider exponential random graph models, and show how they can be applied to reconstruct networks coherent with Burt’s …

Random Multigraphs and Aggregated Triads with Fixed Degrees

New combinatorial results are given for the global probability distribution of edge multiplicities and its marginal local distributions …

Hypergraph Representations A Study of Carib Attacks on Colonial Forces 1509-1700

We perform a centrality analysis of a directed hypergraph representing attacks by indigenous peoples from the Lesser Antilles on …

Investigating Human Geographic Origins using Dual-Isotope (87Sr/86Sr, d18O) Assignment approaches

Develop and test more standardized and quantitative approaches to geographic assignment of individual origins using isotopic data.

Analyzing Local and Global Properties of Multigraphs

The local structure of undirected multigraphs under two random multigraph models is analyzed and compared.

Nation Building and Social Signaling in Southern Ontario AD 1350-1650

Social network analysis is used to demonstrates the signaling practices reflecting regional patterns.

Multivariate Entropy Analysis of Network Data

Using multivariate entropies we show how it is possible to systematically check for tendencies in data that can be described as …

Data Protection for Online Social Networks and P-Stability for Graphs

We consider different approaches for data privacy in online social networks and for developing graph protection.

A Multigraph Approach to Social Network Analysis

The main purpose of this article is to show the versatility of a multigraph approach when analysing social networks.

Complexity of Families of Multigraphs

This article describes families of finite multigraphs with labeled or unlabeled edges and vertices. It shows how size and complexity …