ارائه الگوریتم موازی و کارا به‌منظور شناسایی انجمن‌های همپوشان در شبکه‌های اجتماعی

ملخص المقالة :

شبکه‌های اجتماعی نه‌تنها به عنوان ابزاری برای ارتباطات، بلکه یکی از پتانسیل‌های مهم در کسب‌وکار و تجارت می‌باشند. یکی از مهم‌ترین مسائل تعریف‌شده در این حوزه، خوشه‌بندی گره‌ها و استخراج الگوهای مؤثر و مفید از آنهاست که به کشف انجمن معروف است. از چالش‌های مهم شناسایی انجمن در شبکه‌های اجتماعی می‌توان به حجم بسیار زیاد گره‌ها اشاره نمود که هر گونه تحلیلی بر روی آن را با مشکل مواجه می‌سازد. از دیگر چالش‌های پیش رو، اشتراک برخی از اعضای خوشه‌ها با یکدیگر می‌باشد که از آن به‌عنوان همپوشانی انجمن‌ها نام برده می‌شود. در چنین شبکه‌هایی هر گره می‌تواند به چند گروه تعلق پیدا کند. در نظر گرفتن همپوشانی بین انجمن‌ها به خصوص در شبکه‌های بزرگ، تشخیص و شناسایی انجمن را با مشکلات زیادی روبه‌رو می‌نمایند؛ از این رو در بیشتر پژوهش‌ها این مسئله نادیده گرفته می‌شود. در این مقاله، رویکردی به منظور رفع این مشکلات ارائه می‌شود. مرحله یافتن گره‌های تأثیرگذار شبکه که زمان‌برترین مرحله در الگوریتم پیشنهادی است، به‌صورت موازی انجام می‌شود و همچنین همپوشانی بین انجمن‌ها در نظر گرفته شده و تحلیل می‌گردد. نتایج حاصل از ارزیابی روش پیشنهادی در قیاس با روش‌های مورد مقایسه، حاکی از برتری آن در یکنواختی انجمن‌های کشف شده است.

المصادر:

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