Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Computer Science
Saad Talib Hasson
University of Babylon
Computer Science & IT Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Online social network relationships influenced on a retweeting Iman K. Abbood; Saad Talib Hasson
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp1037-1043

Abstract

Social network users spending a lot of time to post, search, interact and read the news on blogging platforms. In this era, social media is becoming a suitable place for discovering and exchanging new updates. However, Common social media helps the user to share his news online by a one-click. The ease-of-use leads to present novel breaking news to show up first on micro blogs. Twitter is one of the well-known micro blogging platforms with more than 250 million users, in which retweeting is a manageable way to share and sawing news. It is significant to foretell the retweeting and influence in a social relationship. The Correlation Coefficient formula has been used to determine the level of correlation between a user and his retweeters (followers, friends, and strangers) in social networks. Such correlation can be reached by utilizing the collected user information on Twitter with some features which have a main effect on retweet behavior. In this study, the focus is on particular friends, followers, and a retweet to be the promising source of relationships between users of social media. Experimental results based on twitter dataset showed that the Correlation Coefficient formula can be used as a predicting model, and it is a general framework to gain better fulfillment in calculating the correlation between the user, friends, and followers in social networks..  Their influence on the accuracy in predicting a retweet is also accomplished.
Advanced synchronization strategies in metacloud systems for reliable distributed data storage Ghassan Adnan Hammoodi Al-Bdairi; Saad Talib Hasson
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i5.pp4980-4991

Abstract

The exponential growth of distributed data storage and the limitations of single-provider cloud infrastructures have motivated the emergence of metacloud systems, integrated environments that connect multiple independent cloud platforms to enhance data reliability and security. This paper presents an advanced synchronization framework for metacloud systems, addressing the challenge of maintaining consistent and secure data across heterogeneous cloud nodes. Three synchronization strategies are proposed and analyzed: the primary source synchronization algorithm (PSSA), which ensures rapid one-way replication from a central node; the merge synchronization algorithm (MSA), which intelligently reconciles concurrent updates from multiple sources; and the bi-directional synchronization algorithm (BDSA), which provides complete decentralization through peer-to-peer synchronization. A detailed comparative discussion highlights the computational efficiency, reliability, and scalability trade-offs among the three approaches. The findings demonstrate that adaptive integration of these models can significantly improve system fault tolerance and performance. Finally, future research directions are outlined, emphasizing the role of artificial intelligence (AI), blockchain validation, and quantum-safe security in advancing next-generation metacloud synchronization frameworks.
Co-Authors Ghassan Adnan Hammoodi Al-Bdairi Iman K. Abbood