Analysis and Prediction Using Multiple Platform Hub Model and Centralized Network Management Algorithm (CNMA)

The system aims to collect data on user behaviour and preferences on various social media platforms such as Instagram and Twitter. The aim is to determine influential users and increase engagement. In contrast to conventional methods that focus on a single platform at a time, the Multiple Platform Hub and Authority Topic (MPHAT) model provides an overall view of users by examining their connections, interests, and favourite networks. The MPHAT model seeks to bring less prominent users into the limelight by overcoming limitations within recommendation systems that benefit popular users. It makes online traffic estimates based on platform-specific posts and user preferences. Furthermore, the MPHAT model excels over conventional techniques such as LDA in topic understanding, influence prediction, and user behaviour prediction. The centralized network management algorithm (CNMA) facilitates smooth integration and processing of user data within various networks.

Authors

Institutions

Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-03-19
DOI
https://doi.org/10.47392/irjaeh.2025.0076
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis and Prediction Using Multiple Platform Hub Model and Centralized Network Management Algorithm (CNMA)

Michael Mahesh K, Mrs. Buvaneswari M
International Research Journal on Advanced Engineering Hub (IRJAEH)
Complex Network Analysis Techniques
article

Analysis and Prediction Using Multiple Platform Hub Model and Centralized Network Management Algorithm (CNMA)

Michael Mahesh K, Mrs. Buvaneswari M
article en

Abstract

The system aims to collect data on user behaviour and preferences on various social media platforms such as Instagram and Twitter. The aim is to determine influential users and increase engagement. In contrast to conventional methods that focus on a single platform at a time, the Multiple Platform Hub and Authority Topic (MPHAT) model provides an overall view of users by examining their connections, interests, and favourite networks. The MPHAT model seeks to bring less prominent users into the limelight by overcoming limitations within recommendation systems that benefit popular users. It makes online traffic estimates based on platform-specific posts and user preferences. Furthermore, the MPHAT model excels over conventional techniques such as LDA in topic understanding, influence prediction, and user behaviour prediction. The centralized network management algorithm (CNMA) facilitates smooth integration and processing of user data within various networks.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(03)
Mahatma Gandhi University (IN), Department of Biotechnology (IN)
Openalex Percentile: Top 96%
Complex Network Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis and Prediction Using Multiple Platform Hub Model and Centralized Network Management Algorithm (CNMA) — Michael Mahesh K, Mrs. Buvaneswari M · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS