Dr. Mansour Alshaikh
PhD in Computer Science and Informaticstion
Mansour Alshaikh holds an associate degree from King Fahd University, a bachelor’s degree in Computer Science from Bowling Green State University, a master’s degree in Computer Information Security from Lewis University, and a Ph.D. in Computer Science and Informatics from Oakland University. Documented research areas include social network analysis, sentiment analysis and privacy.
Selected published work: “Social Network Analysis and Mining: Privacy and Security on Twitter” (2020). Publication details and links are listed below.
Research & Publications
2 matched publications · Newest first
This list contains publications matched from publisher and author records. It may not include every publication.
Social Network Analysis and Mining: Privacy and Security on Twitter
View PublicationStart here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
Sentiment Analysis for Smartphone Operating System: Privacy and Security on Twitter Data
View PublicationStart here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
No publications match your search.