Description:

LPmade is a complete cross-platform software solution for multi-core link prediction and related tasks and analysis. Its first principal contribution is a scalable network library supporting high-performance implementations of the most commonly employed unsupervised link prediction methods. Link prediction in longitudinal data requires a sophisticated and disciplined process for correct results and fair evaluation, so the second principle contribution of LPmade is a sophisticated GNU make architecture that completely automates link prediction, prediction evaluation, and network analysis. Finally, LPmade streamlines and automates the process of creating multivariate supervised link prediction models as proposed in the paper "New Perspectives and Methods in Link Prediction" (Lichtenwalter 2010) with a version of WEKA modified to operate effectively on extremely large data sets. With mere minutes of manual work, one may start with a raw stream of records representing a network and progress through hundreds of steps to generate plots, gigabytes or terabytes of output, and actionable or publishable results.

Changes to previous version:

-Added README.txt with basic information in top-level directory. -Changed build system to accept MEMORY_MAX variables for WEKA and sort. -Changed build system to accepted EVALUATION_METRICS variable to allow specification of evaluation metrics. -Fixed 'plots' build path to properly handle top-n precision (tnp) when included as a metric and removed this metric as a default mandatory target for 'plots' because it can generate very large plot eps files.

BibTeX Entry: Download

Supported Operating Systems: Cygwin, Linux, Mac Os X

Data Formats: Not Applicable

Tags: Gnu Make, Hplp, Link Prediction, Multicore, Network Analysis, Propflow

Archive: download here

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