Systems Science Friday Noon Seminar Series



Download (529 KB)

Download Captions file (76 KB)


Media is loading




In many contexts we may expect the structure of networks to be derived from some kind of abstract distance between actors. We refer to this phenomenon as homophily: like nodes connect to like. For example, people with similar beliefs may be more likely to form social relations.

We formalize this notion by positioning the nodes in a latent space representing the possible values of the homophilous attributes. Realistically, we should expect latent attributes like beliefs to change over time in some nontrivial way, and the structures of temporal networks to evolve accordingly. We introduce a model of latent space dynamics where node positions evolve according to Brownian motion. While not a realistic model for social behavior, we expect this will be a useful null model for exploring the range of possible latent space dynamics

Biographical Information

Jasper Alt is a master's candidate in computer science at Portland State University. He is interested in networks, natural computation, and environmental prediction


System analysis, Social networks -- Mathematical models, Brownian motion processes, System theory


Dynamic Systems

Persistent Identifier


© Copyright the author(s)

This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

The purpose of this statement is to help the public understand how this Item may be used. When there is a (non-standard) License or contract that governs re-use of the associated Item, this statement only summarizes the effects of some of its terms. It is not a License, and should not be used to license your Work. To license your own Work, use a License offered at

Latent Space Models for Temporal Networks