Giter Club home page Giter Club logo

alaamee's Introduction

ALAAMEE

Autologistic Actor Attribute Model (ALAAM) parameter estimation using Equilibrium Expectation (EE) algorithm. Also includes an implementation of the Robbins-Monro stochastic approximation algorithm for estimating ALAAM parameters, and functions for simulation and goodness-of-fit tests.

This Python implementation uses the NumPy library for vector and matrix data types and functions. In addition, there are R scripts for estimating standard errors and plotting results from the output.

Funding

Development of the ALAAMEE software was funded by the Swiss National Science Foundation NRP 75 project number 167326.

References

Borisenko, A., Byshkin, M., & Lomi, A. (2019). A Simple Algorithm for Scalable Monte Carlo Inference. arXiv preprint arXiv:1901.00533. https://arxiv.org/abs/1901.00533

Byshkin, M., Stivala, A., Mira, A., Robins, G., & Lomi, A. (2018). Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data. Scientific Reports 8:11509. https://doi.org/10.1038/s41598-018-29725-8

Daraganova, G., & Robins, G. (2013). Autologistic actor attribute models. In D. Lusher, J. Koskinen, and G. Robins, editors, Exponential Random Graph Models for Social Networks, chapter 9, pages 102-114. Cambridge University Press, New York.

Parker, A., Pallotti, F., & Lomi, A. (2021). New network models for the analysis of social contagion in organizations: an introduction to autologistic actor attribute models. Organizational Research Methods, 10944281211005167. https://doi.org/10.1177%2F10944281211005167

Robins, G., Pattison, P., & Elliott, P. (2001). Network models for social influence processes. Psychometrika, 66(2), 161-189. https://link.springer.com/article/10.1007/BF02294834

Snijders, T. A. B. (2002). Markov chain Monte Carlo estimation of exponential random graph models. Journal of Social Structure, 3(2), 1-40.

Stivala, A. D., Gallagher, H. C., Rolls, D. A., Wang, P., & Robins, G. L. (2020). Using Sampled Network Data With The Autologistic Actor Attribute Model. arXiv preprint arXiv:2002.00849. https://arxiv.org/abs/2002.00849

Stivala, A., Robins, G., & Lomi, A. (2020). Exponential random graph model parameter estimation for very large directed networks. PloS ONE, 15(1), e0227804. https://arxiv.org/abs/1904.08063

alaamee's People

Contributors

stivalaa avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.