A new multi-objective evolutionary framework for community mining in dynamic social networks
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Publication Date
Sun Dec 01 2019
Journal Name
Applied Soft Computing
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Publication Date
Mon Feb 01 2016
Journal Name
Swarm And Evolutionary Computation
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(29)
Publication Date
Sat Sep 27 2014
Journal Name
Soft Computing
(30)
(23)
Publication Date
Sun Nov 01 2020
Journal Name
2020 2nd Annual International Conference On Information And Sciences (aicis)
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(2)
Publication Date
Wed Nov 17 2021
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
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(2)
Publication Date
Sun Mar 01 2020
Journal Name
Computer Networks
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(5)
Publication Date
Sat Aug 25 2012
Journal Name
Wireless Personal Communications
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(46)
Publication Date
Thu Feb 09 2023
Journal Name
Artificial Intelligence Review
Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm
Finding communities of connected individuals in complex networks is challenging, yet crucial for understanding different real-world societies and their interactions. Recently attention has turned to discover the dynamics of such communities. However, detecting accurate community structures that evolve over time adds additional challenges. Almost all the state-of-the-art algorithms are designed based on seemingly the same principle while treating the problem as a coupled optimization model to simultaneously identify community structures and their evolution over time. Unlike all these studies, the current work aims to individually consider this three measures, i.e. intra-community score, inter-community score, and evolution of community over
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Publication Date
Fri Jul 17 2026
Journal Name
Journal Of Revenue And Pricing Management
Economic sustainability in state-owned extractive industries: a dynamic pricing framework for the Iraqi mining sector
State-owned enterprises
Extractive industries
Dynamic pricing
Cost elasticity
Economic sustainability
Iraq.
This study provides an empirical and strategic contribution to the revenue management literature by investigating the transition from static cost-plus pricing to a dynamic, elasticity-based framework within state-owned extractive industries (SOEs). While dynamic pricing is extensively studied in flexible, data-rich private markets, its application in structurally rigid SOEs within transitional economies remains a critical research gap. Drawing on primary fiscal and production data from the 2024 fiscal year of the General Company for Mining Industries (SCMI), we developed a mathematical model to determine optimal pricing ( ) based on marginal cost principles and demand elasticity. The findings demonstrate that replacing rigid accounting rout
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Publication Date
Thu Apr 01 2021
Journal Name
Applied Soft Computing
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