Deep Dive into Insta: Navigating Influencer on Instaflow

Deep Dive into Insta: Navigating Influencer on Instaflow

Dr. Purna Chandra Rao 1, Ms. Amrutha Varshini 2, Ms. Sri Bhavani 3, Ms.Neela Devi 4, Ms. Srinidhi 5

1 Associate Professor, Dept. of Information Technology, KKR & KSR Institute of Technology and Sciences, Guntur,India

2-5Student, Dept. Of Information Technology, KKR & KSR Institute of Technology and Sciences, Guntur, India

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Abstract - Instagram is a powerful tool for social media marketers, especially for influencers who have a lot of control over audience behavior and brand interaction. Examining how accurately Instagram's algorithms identify and promote top influencers is the goal of this study. This study delves deeply into the complex influencer ecosystem on Instagram's InstaFlow platform. The research seeks to offer a thorough grasp of influencers' roles and effects by traversing the complexity of influencer relationships. By means of methodical examination, this investigation aims to reveal significant perspectives on the connections and exchanges among the entities that comprise the InstaFlow ecosystem, thereby advancing a more sophisticated understanding of influencer participation on the widely used social media network. The nature of the content shared, the time of day, and the use of hashtags and hashtags, which may influence Instagram reach, will be gathered. In this paper we are discussing various methods applied to reach & predict the Instagram posts.

Keywords: Deep dive, Machine Learning, Visualization, Feature extraction, Support vector machine, Prediction algorithms, Social network, User behaviour, stable server, feature space, page rank, user recommendation.