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JobMiner: a real-time system for mining job-related patterns from social media

Published: 11 August 2013 Publication History

Abstract

The various kinds of booming social media not only provide a platform where people can communicate with each other, but also spread useful domain information, such as career and job market information. For example, LinkedIn publishes a large amount of messages either about people who want to seek jobs or companies who want to recruit new members. By collecting information, we can have a better understanding of the job market and provide insights to job-seekers, companies and even decision makers. In this paper, we analyze the job information from the social network point of view. We first collect the job-related information from various social media sources. Then we construct an inter-company job-hopping network, with the vertices denoting companies and the edges denoting flow of personnel between companies. We subsequently employ graphmining techniques to mine influential companies and related company groups based on the job-hopping network model. Demonstration on LinkedIn data shows that our system JobMiner can provide a better understanding of the dynamic processes and a more accurate identification of important entities in the job market.

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    cover image ACM Conferences
    KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
    August 2013
    1534 pages
    ISBN:9781450321747
    DOI:10.1145/2487575
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 11 August 2013

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    Author Tags

    1. graph mining
    2. influence analysis
    3. job market
    4. social media
    5. temporal network

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    KDD '13 Paper Acceptance Rate 125 of 726 submissions, 17%;
    Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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    Cited By

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    • (2023)Assessing Firm Human Capital Based on Labor Mobility NetworkIEEE Transactions on Engineering Management10.1109/TEM.2020.299664470:3(806-818)Online publication date: Mar-2023
    • (2023)A Practical Study of Methods for Deriving Insightful Attribute Importance Rankings using Decision BireductsInformation Sciences10.1016/j.ins.2023.119354(119354)Online publication date: Jun-2023
    • (2021)A Comprehensive Review of Professional Network Impact on Education and CareerChallenges and Applications of Data Analytics in Social Perspectives10.4018/978-1-7998-2566-1.ch001(1-26)Online publication date: 2021
    • (2021)Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview AssessmentACM Transactions on Information Systems10.1145/346965440:1(1-36)Online publication date: 8-Sep-2021
    • (2020)An Enhanced Neural Network Approach to Person-Job Fit in Talent RecruitmentACM Transactions on Information Systems10.1145/337692738:2(1-33)Online publication date: 11-Feb-2020
    • (2020)Learning Effective Representations for Person-Job Fit by Feature FusionProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412717(2549-2556)Online publication date: 19-Oct-2020
    • (2020)Graph Model Proposals for Capturing Meta-information Within Professional Network Data2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS52053.2020.9336574(1-8)Online publication date: 14-Dec-2020
    • (2020)Mining Associations Rules Between Attribute Value ClustersAdvances in Artificial Intelligence and Data Engineering10.1007/978-981-15-3514-7_67(909-917)Online publication date: 14-Aug-2020
    • (2019)Interview Choice Reveals Your Preference on the MarketProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330963(914-922)Online publication date: 25-Jul-2019
    • (2019)The Impact of Person-Organization Fit on Talent ManagementProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330849(1625-1633)Online publication date: 25-Jul-2019
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