UNEMPLOYMENT ANALYSIS THROUGH SOCIAL MEDIA MAXIMIZATION FOR SOCIAL ACTIVITY PLANNING WITH QUALITY GUARANTEE

G.Ramya; M.Jothilakshmi

Article Information

Published In Volume 2, Issue 8 (2016)
Publication Date July 31, 2026
Manuscript ID IJCRCST-AUGUST16-18
Article Type Research Paper
Pages 976 - 978
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Abstract

Social media enable promising new approaches to measuring economic activity and analyzing economic behavior at high frequency and in real time using information independent from standard survey and administrative sources. This project uses data from social media to create indexes of job loss, job search and job posting. This project points out that the solution obtained by a greedy algorithm is likely to be trapped in a local optimal solution. Thus, This project design a new randomized algorithm to effectively and efficiently solve the problem. Given the available computational budgets, the proposed algorithm is able to optimally allocate the resources and find a solution with an approximation ratio. This project implement the proposed algorithm in a social networking portal, and the user study demonstrates that social groups obtained by the proposed algorithm significantly outperform the solutions manually configured

Keywords

Social Networks Homophiles Inbreeding Bias Occupational Segregation Labor Market Inequality Social Welfare JEL Classification: J24 J31 J70 Z13

Authors

G.Ramya

M.Jothilakshmi

How to Cite this Article

G.Ramya, M.Jothilakshmi (2016). "UNEMPLOYMENT ANALYSIS THROUGH SOCIAL MEDIA MAXIMIZATION FOR SOCIAL ACTIVITY PLANNING WITH QUALITY GUARANTEE". International Journal of Contemporary Research in Computer Science and Technology, 2(8), pp. 976-978.