Pontifícia Universidade Católica de Minas Gerais
ARPPA: Mining Professional Profiles from
LinkedIn Using Association Rules
Authors: Paula Raissa Costa e Silva
Wladmir Cardoso Brandão
February 24, 2015
MOTIVATION AND PROBLEM
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Social network proliferation
Professional information volume
Professional profile extraction and analysis
Knowledge discovery on professional profiles
extracted from Web
OBJECTIVES
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Introduce the ARPPA’s approach:
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ARPPA: Association Rules for Professional Profile
Analysis
Retrieve relevant informations on professional
profiles
Recognize mutual implications among professional
events
Professional profiles characterization.
Impact:
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Companies: Plan employees careers
Universities: Plan, guide and implement academic
activies and the courses curriculum
RELATIONAL WORKS
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Russell, 2013: Crawler and data mining from social
network.
Pizzato & Bhasin, 2013: Data mining, web search engine
and social network analysis from LinkedIn for a people
recommender system.
Xu, Li, Gupta, Bugdayci & Bhasin, 2014: SimCareers
framework for model similarities among professional
profiles.
ARPPA APPROACH
EXPERIMENTATION
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Graduated students from PUC Minas’ IT courses.
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Source: LinkedIn
Period: 2004 to 2013
Professionals: 1847
Resumes: 398
RESULTS
RESULTS
RESULTS
RESULTS
RESULTS
Association Rules
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Systems Analyst Career on Information Technology
and Services area
—  Minimum confidence: 0.87
Graduated students at 2010 with Senior level on
Information Technology and Services
—  Minimum confidence: 0.95
Professionals specialized at SAP on Information
Technology and Services area
—  Minimum confidence: 1.0
Professionals from Information Technology and
Services area working in Belo Horizonte
—  Minimum confidence: 0.97
CONCLUSION AND FUTURE WORK
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ARPPA: Efective for professional profiles
characterization
Multidimensinal data model suitable for professional
profiles analysis
Simple approach based on association rules
Future works:
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Crawler otimization
Different data mining algorithms
Enrich the multidimensional data model
Extend to other courses
Thanks!