White Papers/Articles

Topic: A PageRank-Based Algorithm for Real Estate Agent Ranking

Authors:
1. Kai-Wen Lee, Graduate Student, Computer Science,University of Miami
2. Dr. Vladimir Bugera, Adjunct Faculty, Journalism and Media Management, University of Miami
3. Prof. Sergiy Butenko, Professor, Industrial and Systems Engineering, Texas A&M University
4. Dr. Aidar Vafin, Director, Big Data Realty

Abstract: We applied an analytical method, PageRank, to rank the licensed real estate agents based upon the real estate offers where the agent represents a seller or a buyer of a residential real estate property, and the offers resulted in the property sales with the corresponding parties. We analyzed the resulting ranking by studying patterns and
common characteristics for agents with high and low scores. Our dataset is based on the listing data obtained from Miami Association of Realtors. We used Python programming for data pre-processing and algorithmic ranking.

Please fill out the following form
to receive a FREE copy of the article

    Our Sample Real Estate Analyses

    DO YOU TRUST REALTORS ? – How to Choose the Right Agent in Real Estate using Data and Analytics

    SUNNY ISLES BEACH, FLORIDA – Comprehensive Review Of All Condo Buildings And Communities In The City

    AVENTURA ISLES – Modern Community of Homes and Townhouses in Miami: Overview, Inventory, and Prices

    Do you have questions?
    Ask our team:

    Ask you question