Analyzing the Current Architecture of Mobile Social Networks-Reference-Cited by-同舟云学术

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Analyzing the Current Architecture of Mobile Social Networks

Published:2024-01-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
language:
Short-container-title:

Author:

Haripriya ¹,Gupta Sachin²,Gaur Sunil Kumar³

Affiliation:

1. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

2. Sanskriti University,Department of Management,Mathura,Uttar Pradesh,India

3. College of Engineering, Teerthanker Mahaveer University,Moradabad,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470560.pdf?arnumber=10470560

Reference12 articles.

1. A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data

2. A review on the edge caching mechanisms in the mobile edge computing: A social-aware perspective

3. Suicidal Analysis on Social Networks Using Machine Learning

4. Broken elevators, temporalities of breakdown, and open data: how wheelchair mobility, social media activism and situated knowledge negotiate public transport systems

5. Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis

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