انتخاب رهبران رای با استفاده از الگوریتم بهینه سازی گرگ خاکستری در شبکه های اجتماعی
Subject Areas : International Journal of Industrial Mathematics
صمد
محمد اقدم
1
(گروه مهندسی کامپیوتر، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه ، ایران.)
فرهاد
سلیمانیان قره چپق
2
(گروه مهندسی کامپیوتر، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه ، ایران.)
محمد
مصدری
3
(گروه مهندسی کامپیوتر، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه ، ایران.)
Keywords: جوامع مجازی, رهبر رای, شبکه های مجازی, رهبری, الگوریتم بهینه سازی گرگ خاکستری,
Abstract :
سرویس های شبکه های اجتماعی دیجیتال همان شبکه های اجتماعی هستند که مردم به اصطلاح عامیانه از این واژه استفاده می کنند. پلتفرم های رسانه های اجتماعی و وب سایت هایی که انتقال دانش از طریق شبکه های اجتماعی را امکان پذیر می کنند، ابزارهای دیجیتالی هستند که برای ساخت شبکه های اجتماعی و توسعه آنها طراحی شده اند. علاقه و استفاده زیاد از شبکه های اجتماعی این محیط ها را برای فعالیت های مختلف از جمله اقتصادی، فرهنگی، سیاسی و ... مهیا کرده است. رهبران رای یکی از مهمترین مواردی هستند که در این محیط ها تأثیر زیادی بر سایر کاربران دارند. رهبران رای در شبکه های اجتماعی سودمند هستند و ما می توانیم با شناسایی آنها از توانمندی و نفوذ آنها استفاده کنیم. در این مقاله، ما رهبران رای را با استفاده از الگوریتم بهینه سازی گرگ خاکستری انتخاب کرده ایم. این روش سلسله مراتب رهبری و سازوکار شکار گرگهای خاکستری را در طبیعت تقلید می کند و شامل 3 مرحله اصلی شکاریعنی جستجوی طعمه، محاصره طعمه و حمله به طعمه است. بر اساس بررسی ها و نتایج حاصله، تعداد رهبران واقعی رای تشخیص داده شده توسط این الگوریتم قابل توجه است و مزیت روش پیشنهادی سازگاری با معیارهای مختلف و ارائه نتایج پایداری درروش های مختلف است.
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