Social media data mining

Social media data mining is used to uncover hidden patterns and trends from social media platforms like Twitter, LinkedIn, Facebook, and others. This is typically done through machine learning, mathematics, and statistical techniques. We at KDDM research group have been actively doing research in this area and have published our findings at prestigious venues. Listed below are our selected publications from the "Social Media Data Mining" area only. Please click here for complete list of KDDM research group's publications.

Publications

1. A. Maqsood, H. T. Mirza, F. Iqbal, R. I. Alkanhel, N. Hussain, A. Afzaal, A. Altaf, I. Ashraf (2025), "Feature Fusion-based Ensemble Approach for Robust Malware Detection with Reduced False Positives (accepted)", Journal of Network and Systems Management. Springer., ISSN: 1573-7705, Impact Factor: 3.9    (External URL)

2. A. Bilal, H. T. Mirza*, A. S. Khan, A. Ahmad, I. Hussain, S. Z. Ali (2025), "Who Dominates Generative AI? Analyzing User Feedback to Identify Common Use Cases and Areas for Improvement in ChatGPT, Copilot and Gemini", Knowledge and Information Systems, Springer, ISSN: 0219-1377, Impact Factor: 3.1    (External URL)

3. A. Bilal, H. T. Mirza, A. Ahmad, I. Hussain, A. Raza, H. Garay, J. Alemany, I. Ashraf (2025), "On the Correlation Between Google Play Store Application Icons and Downloads", The Computer Journal, Oxford University Press, The British Computer Society, ISSN: 0010-4620, Impact Factor: 1.5    (External URL)

4. A. Bilal, H. T. Mirza*, A. Ahmad, I. Hussain, A. S. Khan (2025), "Unveiling functional aspects in google play education app titles and descriptions influencing app success", Automated Software Engineering, Springer, pp: 1-35, Vol: 32, Issue: 23, ISSN: 0928-8910, DOI: https://doi.org/10.1007/s10515-025-00497-6, Impact Factor: 2.3    (External URL)

5. A. Bilal, H. T. Mirza*, I. Hussain, A. Ahmad (2024), "Investigating Influence of Google-Play Application Titles on Success", Big Data Research, Elsevier, Vol: 36, pp 100443, ISSN 2214-5796, Impact Factor: 2.8 (External URL)

6. A. Sarfraz, A. Ahmad, F. Zeshan, H. T. Mirza (2024), "Synews: A Synergy based Rumor Verification System", Social Network Analysis and Mining, Springer, Vol: 14 , pp, ISSN 1869-5469, Impact Factor: 2.8 (External URL)

7. N. Hussain, H. T. Mirza, F. Iqbal, A. Altaf, A. Shoukat, M. G. Villar, E. S. Flore, M. A. R. Gutiérrez, I. Ashraf (2023), "PRUS: Product Recommender System Based on User Specifications and Customers Reviews", IEEE Access, pp: 1-20, ISSN: 2169-3536, Impact Factor: 3.9 (External URL)

8. A. Bilal, H. T. Mirza*, I. Hussain (2022), "Identifying significant textual features in titles of Google play store applications and their influence on user review rating", Knowledge and Information Systems, Springer, pp: 1-20, DOI: 10.1007/s10115-022-01799-x, Impact Factor: 3.205 (External URL) 

9. N. Hussain, H. T. Mirza*, A. Ali, F. Iqbal, I. Hussain, M. Kaleem (2021), "Spammer group detection and diversification of customers’ reviews", PeerJ Computer Science, PEERJ INC, London, England, EC1V 9LL, Vol: 7:e472, Standard: 2376-5992, Impact Factor: 3.09 (External URL)

10. N. Hussain, H. T. Mirza*, F. Iqbal, I. Hussain and M. Kaleem (2020), "Detecting Spam Product Reviews in Roman Urdu Script", The Computer Journal, Oxford University Press, The British Computer Society, pp: bxaa164, Standard: 0010-4620, Impact Factor: 1.077 (External URL)

11.  N. Hussain, H. T. Mirza*, I. Hussain, F. Iqbal and I.Memon (2020), "Spam Review Detection using the Linguistic and Spammer Behavioral Methods", IEEE Access, pp: 53801-53816, Vol: 8, Standard: 2169-3536, Impact Factor: 4.098 (External URL)

12.  N. Hussain, H. T. Mirza*, and I. Hussain (2019), "Detecting Spam Reviews through Spammer’s Behavioral Analysis", ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, pp: 61-71, Vol: 8, Issue: 2, ISSN: 2255-2863, DOI: https://doi.org/10.14201/ADCAIJ2019826171, Impact Factor: ESCI (External URL)

13. N. Hussain, H. T. Mirza*, G. Rasool, I. Hussain and M. Kaleem (2019), "Spam Review Detection Techniques: A Systematic Literature Review", Applied Sciences, pp: 1-26, Vol: 9, Issue: 5 : 987, ISSN: 2076-3417, DOI: https://doi.org/10.3390/app9050987 , Impact Factor: 2.67 (External URL)

* Corresponding Author  

Thesis

1. PhD Thesis (FA21) – Naveed Hussain – “Spam Review Detection through Behavioral and Linguistic Approaches”. Six Papers Published in Impact Factor Journals

2. PhD Thesis (SP25) – Ahmed Bilal – “Investigating the Significant Features Influencing Success of Smart Phone Applications”. Five Papers Published in Impact Factor Journals

3. PhD Thesis (In-Progress) – Waqas Ali – “A Study on Fake News Detection and its Containment in Social Media Networks”

4. MS Thesis (SP22) – Aroma Javed – “A Deep Learning based Prediction of Stock Market Trend using Social Media”

5. MS Thesis (SP22) – Zohaib Ahmad – “Mobile App Fraud and Malware Detection using Data Mining based Methods”

6. MS Thesis (SP22) – Usman Bhatti – “Repeated Buyer Prediction: A Study of Repurchasing Intention of Buyer in E-Commerce”

7. MS Thesis (FA20) – Ahtsham Shoukat – “Aspect based Ranking of Online Product Reviews”. Paper Published in Impact Factor Journal

8. MS Thesis (FA20) – Ghulam Mehmood – “Group Spam identification in Online Product Reviews”

9. MS Thesis (SP20) – Abid Ali – “A Study on Diversification of Online Product Reviews”. Paper Published in Impact Factor Journal

Final Year Project

1. FYP BSCS (Kafeel Ahmad Butt, Sheikh Muhammad Qasim) "Spotting Spammer using Group Spammer Behaviour Analysis". Completed FA19

2. FYP BSCS (Mohammad Nabeel Tariq, Salman Rasheed) "Detection and Diversification of Genuine Online Reviews". Completed FA19

3. FYP BSCS (Atif Abdul Ghafoor, Hamza Habib, Hamza Iqbal) "Opinion Mining of Roman-Urdu reviews using Linguistic and Behaviour Analysis techniques". Completed SP19

4. FYP BSCS (Raheel Riaz, Muhammad Salman Siddiqi, Hafiza Chandani Munir) "Probabilistic Model for Opinion Spam Detection". Completed FA17. 1st Position among 53 FYP's of Fall 2017.

5. FYP BSCS (Siddique Hassan, Muhammad Hamza, M. Usman Shafique) "Sentiment Analysis of Online Reviews Using Supervised Learning". Completed SP17

6. FYP BSCS (Roshaan Riaz, Arslan Shafi, Usairam Bin Muslim) "Election Prediction through Twitter Activity of Politicians, Voters and Journalists". Completed SP16