New Algorithm To Maximize The Social Influence in Social Networks
محل انتشار: کنفرانس بین المللی مهندسی و علوم کامپیوتر
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 408
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICCSE01_003
تاریخ نمایه سازی: 14 شهریور 1396
چکیده مقاله:
Today, social networking plays a fundamental role to the longevity of information, ideas and influences amongits members. A new movement or a novel idea, regardless of its nature, its longevity, or having a big impact on a largenumber of network population. Therefore, the dissemination of information can branch into two states the future of anew movement or a novel idea. Therefore, the release of information must be targeted and done using specific algorithmto have greater impact on the members of social networks. Since, many people are members of a network, and having thatin mind, finding the nodes that have more distribution power in a social network can be useful in many cases Forexample, to select a user from social networks to do advertising for businesses, an innovative design approach is to findclusters using existing algorithms, and then using the central parameters for finding influential actors within the cluster.The aim of this study is to suggest an algorithm to minimize the numbers of steps needed to disseminate information onthe social network.
کلیدواژه ها:
نویسندگان
Mohsen Kajbaf
Department of Computer Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran