Publications

Goodness of fit tests for random multigraph models

Goodness of fit tests for different probability models for random multigraphs.

Multiplexity Analysis of Networks using Multigraph Representations

A method for performing multiplexity analysis in social networks with several node covariates is presented.

Social Network Analysis

A review chapter on social network analysis aimed towards undergraduate students.

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 for network formation.

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 arguments on closure and structural holes.

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 of loops and edges.

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 European colonial settlements, 1509-1700.

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

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

Analyzing Local and Global Properties of Multigraphs

The local and global structures of undirected multigraphs under two random multigraph models are 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

We show how it is possible to systematically check for tendencies in data, such as independencies or conditional independencies, using multivariate entropies.

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 theoretical background for analyzing multivariate social networks using multigraph representations is introduced.

Complexity of Families of Multigraphs

Complexity measured for multigraphs are specified and their applicability is discussed.