Photo of Alireza Mohammadinodooshan

Alireza Mohammadinodooshan

Postdoc

I am currently conducting research on topics related to computational social science.

Presentation

I defended my PhD thesis in June 2024, and starting from July 2024, I will begin my postdoc focusing on understanding and modeling the security aspects of social networks and media, leveraging statistical modeling and machine learning techniques.

Professional Contributions

Explore below to learn more about my scholarly activities, including my contributions to research, teaching, and service.

Research

  • For a selected list of my publications, please see below and for a comprehensive list, please visit my Google Scholar or DBLP page.
  • I have been selected as one of the best Program Committee members of ICWSM.
  • SNAMS 2022 paper has been nominated as a best paper candidate of the conference. An extended version is under preparation.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 




Teaching

  • Course Leader and Primary Lecturer:
    • Datastrukturer och Algoritmer (TDDD71)
  • Course Lecturer and Projects Supervisor:
    • Information Security, Second Course (TDDD17)
  • Course Teacher and Assistant:
    • Database Technology (TDDD81)
  • Course Assistant:
    • Software Security (TDDC90)
    • Computer Networks (TDTS06)
    • Computer Networks and Distributed Systems (TDTS04)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


Publications

2024

Elin Thorgren, Alireza Mohammadinodooshan, Niklas Carlsson (2024) Temporal Dynamics of User Engagement on Instagram: A Comparative Analysis of Album, Photo, and Video Interactions Proceedings of the 16th ACM Web Science Conference, p. 224-234 Continue to DOI
Alireza Mohammadinodooshan (2024) Data-driven Contributions to Understanding User Engagement Dynamics on Social Media

2023

Alireza Mohammadinodooshan, William Holmgren, Martin Christensson, Niklas Carlsson (2023) A Clone-based Analysis of the Content-Agnostic Factors Driving News Article Popularity on Twitter PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023, p. 17-24 Continue to DOI
Alireza Mohammadinodooshan, Niklas Carlsson (2023) Effects of Political Bias and Reliability on Temporal User Engagement with News Articles Shared on Facebook PASSIVE AND ACTIVE MEASUREMENT, PAM 2023, p. 160-187 Continue to DOI

2022

Alireza Mohammadinodooshan, Niklas Carlsson (2022) Temporal Dynamics of User Engagement with U.S. News Sources on Facebook Proc. International Conference on Social Networks Analysis, Management and Security (SNAMS) Continue to DOI

Research 

About the division

Colleagues at ADIT

About the department