Search Results for author: Tanya Y. Berger-Wolf

Found 11 papers, 2 papers with code

The Animal ID Problem: Continual Curation

no code implementations18 Jun 2021 Charles V. Stewart, Jason R. Parham, Jason Holmberg, Tanya Y. Berger-Wolf

Hoping to stimulate new research in individual animal identification from images, we propose to formulate the problem as the human-machine Continual Curation of images and animal identities.

Mining and modeling complex leadership-followership dynamics of movement data

no code implementations4 Oct 2020 Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf

We use the leadership inference framework, mFLICA, to infer the time series of leaders and their factions from movement datasets and then propose an approach to mine and model frequent patterns of both leadership and followership dynamics.

Decision Making Leadership Inference +1

Sampling Community Structure

no code implementations ‏‏‎ ‎ 2020 Arun S. Maiya, Tanya Y. Berger-Wolf

We propose a novel method, based on concepts from expander graphs, to sample communities in networks.

Community Detection Relational Reasoning

Privacy Shadow: Measuring Node Predictability and Privacy Over Time

no code implementations4 Apr 2020 Ivan Brugere, Tanya Y. Berger-Wolf

The structure of network data enables simple predictive models to leverage local correlations between nodes to high accuracy on tasks such as attribute and link prediction.

Attribute Link Prediction

Inferring Network Structure From Data

no code implementations4 Apr 2020 Ivan Brugere, Tanya Y. Berger-Wolf

Networks are complex models for underlying data in many application domains.

Model Selection

Variable-lag Granger Causality for Time Series Analysis

2 code implementations18 Dec 2019 Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf

Typical operationalizations of Granger causality make a strong assumption that every time point of the effect time series is influenced by a combination of other time series with a fixed time delay.

Causal Inference Leadership Inference +2

Network Model Selection Using Task-Focused Minimum Description Length

no code implementations14 Oct 2017 Ivan Brugere, Tanya Y. Berger-Wolf

Our methodology measures efficiency, a general and comparable measure of the network's performance of a local (i. e. node-level) predictive task of interest.

Model Selection Translation

Evaluating Social Networks Using Task-Focused Network Inference

no code implementations8 Jul 2017 Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

We present a general framework for evaluating the suitability of given networks for a set of predictive tasks of interest, compared against alternative, networks inferred from data.

General Classification

Coordination Event Detection and Initiator Identification in Time Series Data

1 code implementation4 Mar 2016 Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf

Behavior initiation is a form of leadership and is an important aspect of social organization that affects the processes of group formation, dynamics, and decision-making in human societies and other social animal species.

Decision Making Event Detection +3

Cannot find the paper you are looking for? You can Submit a new open access paper.