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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29952

Deep Dive into Insta: Navigating Influencer on Instaflow

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29952

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29952

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DPCR

Dr. Purna Chandra Rao

MAV

Ms. Amrutha Varshini

MSB

Ms. Sri Bhavani

MD

Ms.Neela Devi

MS

Ms. Srinidhi

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Full Articles

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.

Cite This Article

Dr. Purna Chandra Rao, Ms. Amrutha Varshini, Ms. Sri Bhavani, Ms.Neela Devi, Ms. Srinidhi, "Deep Dive into Insta: Navigating Influencer on Instaflow," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM29952

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Publication Date

12/31/45384

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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4

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5

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The authors declare no conflict of interest related to this research work.

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