I’m in the process of finalizing my thesis on sentiment analysis and influencer impact in social networks.

One significant aspect I intend to address is finding an innovative and effective method to identify these influencers within the social media graph and uncovering the innovative ways in which their opinions resonate within the network. However, I aim to achieve this without delving deeply into NLP techniques.

Your insights on this matter would be greatly appreciated:

1. Influence Identification: Are there novel approaches to identify influencers within networks that align with sentiment analysis? Methods that aren’t heavily reliant on NLP?

2. Topic Focus: Any lesser-explored areas or emerging trends within sentiment analysis and influencer impact?

3. Methodology: Recommendations for effective analysis techniques connecting influencers and sentiment shifts?

4. Case Studies: Any noteworthy cases or datasets highlighting influencer-driven sentiment changes?

5. Frameworks: Suggestions for applicable theoretical frameworks or research models?

6. Challenges: Potential hurdles to anticipate in this study?

Your expertise is invaluable in shaping my research. Kindly share any thoughts or resources that could aid my exploration.

Thank you