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Proceedings ArticleDOI

A model fuzzy inference system for online social network analysis

TLDR
A model fuzzy inference system that analyze and quantify the network measures used in the analysis of online social networks, and linked the connection based measures with the network structure based measure and produced a fuzzy inferenceSystem for online social network analysis.
Abstract
Online social networks have gained importance in the past few years and have become an inseparable form of communication. People use online social networks for making friends, gaining knowledge, for entertainment and to review products. This increased influence of social networks has led to the emergence of a research area named online social network analysis. In this paper we propose a model fuzzy inference system that analyze and quantify the network measures used in the analysis of online social networks. We have divided the network measures into two classes namely connection based measures and network structure based measure. We have linked the connection based measures with the network structure based measure and have produced a fuzzy inference system for online social network analysis.

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Citations
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Journal ArticleDOI

Quantized Coconut Detection Models with Edge Devices

TL;DR: This study tries to explore and compare multiple deep learning based object detection frameworks such as Single Shot Detector and YOLO for efficient and accurate deployment on various edge devices like Raspberry Pi and Nvidia jetson nano by using state of the art methods such as quantization aware training, inference accelerators, multiple augmentation strategies for best results.
Proceedings ArticleDOI

A Fuzzy Approach to Centrality and Prestige in Online Social Networks

TL;DR: The need for a fuzzy approach in online social network analysis is described and the network measures are analyzed by developing a fuzzy rule based inference system and the relation between interaction, centrality and prestige is obtained.
Proceedings ArticleDOI

An Intuitionistic Fuzzy MCDM Approach Adapted to Minimum Spanning Tree Algorithm for Spreading Content on Social Media

TL;DR: In this article, the authors explored the idea of prioritization of social network connections by representing a social media network as undirected intuitionistic fuzzy weighted graph and calculated the link weights by the intuitionistic Fuzzy MCDM with the Hamacher aggregation operator.
Journal ArticleDOI

Effective Detection of Modular and Granular Overlaps in Online Social Networks Using Fuzzy ART

TL;DR: The stability–plasticity dilemma is solved using a Fuzzy ART-inspired algorithm for overlapping community detection for detecting modular and granular overlaps, designed by making use of network measures such as vertex betweenness, betweenness centrality and split betweenness.
Proceedings ArticleDOI

Online Teaching Strategies to Motivate Students’ Active Participation Based on Personalized SPOC Teaching Mode

TL;DR: Wang et al. as discussed by the authors proposed an online-teaching strategy to motivate students' active participation in online learning process under Small Private Online Course (SPOC) mode, based on the analyses of qualitative and quantitative data.
References
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Book

Social Network Analysis: A Handbook

TL;DR: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles and Clusters Dimensions and Displays Appendix Social Network Packages
Book

Networks and Organizations: Structure, Form and Action

TL;DR: In this paper, a comparison of electronic mail and face-to-face communication in a programming team face to-face is presented to make network research relevant to practice, and the case of the 128 Venture Group complementary communication media is discussed.

THE LAPLACIAN SPECTRUM OF GRAPHS y

Bojan Mohar
TL;DR: A survey of known results about the spectrum of the Laplacian matrix of graphs with special emphasis on the second smallest Lapla-cian eigenvalue 2 and its relation to numerous graph invariants, including connectivity, expanding properties, isoperimetric number, maximum cut, independence number, genus, diameter, mean distance, and bandwidth-type parameters of a graph is given in this article.

1 The Social Structure of Competition

TL;DR: In this paper, a player brings capital to the competitive arena and walks away with profit determined by the rate of return where the capital was invested, i.e., the market production equation predicts profit.
Dissertation

The Laplacian spectrum of graphs

TL;DR: This paper is essentially a survey of known results about the spectrum of the Laplacian matrix of graphs with special emphasis on the second smallest LaPLacian eigenvalue λ2 and its relation to numerous graph invariants, including connectivity, expanding properties, isoperimetric number, maximum cut, independence number, genus, diameter, mean distance, and bandwidth-type parameters of a graph.
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