Graph Methods for Social Network Analysis

被引：4

作者：

Quoc Dinh Truong ^{[1
]}

Quoc Bao Truong ^{[2
]}

Dkaki, Taoufiq ^{[3
]}

机构：

[1] Can Tho Univ, Coll Informat & Commun Technol, Campus 2,3-2 St, Can Tho City, Vietnam

[2] Can Tho Univ, Coll Engn Technol, Campus 2,3-2 St, Can Tho City, Vietnam

[3] Univ Toulouse, Inst Rech Informat Toulouse, Toulouse, France

来源：

NATURE OF COMPUTATION AND COMMUNICATION (ICTCC 2016) | 2016年 / 168卷

关键词：

Social network; Graph; Graph drawing; Graph comparison;

D O I：

10.1007/978-3-319-46909-6_25

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Social network is a structure in which nodes are a set of social actors that are connected together by different types of relationships. Because of the complexity of the actors and the relationships between actors, social networks are always represented by weighted, labeled and directed graph. Social network analysis (NSA) is a set of techniques for determining and measuring the magnitude of the pressure. Social network analysis is focused also on visualization techniques for exploring the networks structure. It has gained a significant following in many fields of applications. It has been used to examine how the problems have been solved, how organizations interact with others, to understand the role of an individual in an organization. In this paper, we focus on two methods: 1- graphs visualization; 2- network analysis based on graph vertices comparison.

引用

页码：276 / 286

页数：11

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