@Article{2019.100000130,
AUTHOR = {Babar Shazad, Hikmat Ullah khan, Zahoor-ur-Rehman, Muhammad Farooq, Ahsan Mahmood, Irfan Mehmood, Seungmin Rho, Yunyoung Nam},
TITLE = {Finding Temporal Influential Users in Social Media Using Association Rule  Learning},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {87--98},
URL = {http://www.techscience.com/iasc/v26n1/39845},
ISSN = {2326-005X},
ABSTRACT = {The social media has become an integral part of our daily life. The social web 
users interact and thus influence each other influence in many aspects. 
Blogging is one of the most important features of the social web. The bloggers 
share their views, opinions and ideas in the form of blog posts. The influential 
bloggers are the leading bloggers who influence the other bloggers in their 
online communities. The relevant literature presents several studies related to 
identification of top influential bloggers in last decade. The research domain of 
finding the top influential bloggers mainly focuses on feature centric models. 
This research study proposes to apply association rule learning for finding the 
temporal influential bloggers. The widely used Apriori algorithm is applied using 
Oracle data miner to find the frequent pattern of bloggers having blog activities 
together and then we find who influences others based on the rules learned 
from the association rule mining. The use of standard evaluation measures such 
as accuracy, precision and F1 score verifies the results. This research study 
uses the standard dataset of TechCrunch which is a real world blog. The results 
confirm that the association rule mining can produce rules which help to find 
the temporal influential bloggers in the blogosphere who are consistent on 
regular basis. The proposed method achieved accuracy as high as 98% for 
confidence level of 90%. The identification of the top influential bloggers has 
enormous applications in advertising, online marketing, e-commerce, promoting 
a political agenda, influencing elections and affect the government policies.},
DOI = {10.31209/2019.100000130}
}