Professor Laeeq Khan

Social Media Analytics, Digital Divide, Online Engagement

Musings

Network Visualization and Analysis with Gephi

Network analysis can simply be understood as the analysis of social networks. The analysis provides a visual representation of different members (or nodes) within a network, and how they connect to each other. I use Gephi to visualize networks based on data from Twitter and Facebook. I would highly recommend the following book: Analyzing the Social Web by Jennifer […]

Sentiment Analysis with SentiStrength

The following is a tutorial for conducting a quality sentiment analysis of social media data (in this case Twitter). I describe what sentiment analysis is, how it started, and why it is important. I also offer a sentiment analysis process that I believe sums up the technique. I then introduce a valuable tool called SentiStrength. […]

Trust but verify (Доверяй, но проверяй, Doveryai, no proveryai)

2019 starts with an important research publication concerning the rise of misinformation and the importance of information verification: Khan, M. L., & Idris, I. K. (2019). Recognize Misinformation and Verify Before Sharing: A Reasoned Action and Information Literacy Perspective, Behavior & Information Technology, https://doi.org/10.1080/0144929X.2019.1578828. After a rigorous double-blind review by three reviewers, the paper is now finally […]

Competing with Data Analytics in a Social World

I was invited by the Office of Vice President for Research and Creativity and the Ohio University to deliver a talk in Café Conversations discussing “Competing with Data Analytics in a Social World” on Wednesday, Sept. 26, at 5 p.m. in the Front Room at Baker University Center. Responding to the changing environment, organizations are […]

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