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
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
下载
收藏
页码:276 / 286
页数:11
相关论文
共 50 条
  • [31] A High-Performance Graph Engine for Efficient Social Network Analysis
    Jo, Yong-Yeon
    Jang, Myung-Hwan
    Jung, Hyungsoo
    Kim, Sang-Wook
    COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018), 2018, : 61 - 62
  • [32] A FLOW EQUATION FOR DYNAMIC GRAPH CONTROL: APPLICATIONS TO SOCIAL NETWORK ANALYSIS
    Falciani, H.
    Perez, E. A. Sanchez
    EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS, 2023, 11 (01): : 79 - 97
  • [33] Tensor network methods with graph enhancement
    Huebener, R.
    Kruszynska, C.
    Hartmann, L.
    Duer, W.
    Plenio, M. B.
    Eisert, J.
    PHYSICAL REVIEW B, 2011, 84 (12):
  • [34] Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
    Tao, Ye
    Li, Ying
    Zhang, Su
    Hou, Zhirong
    Wu, Zhonghai
    PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22), 2022, : 2830 - 2838
  • [35] Social network coordination and graph routing
    Onn, S
    Sperber, E
    NETWORKS, 2003, 41 (01) : 44 - 50
  • [36] Deep Graph Clustering in Social Network
    Hu, Pengwei
    Chan, Keith C. C.
    He, Tiantian
    WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017, : 1425 - 1426
  • [37] METHODS FOR COMMUNICATION-NETWORK RELIABILITY-ANALYSIS - PROBABILISTIC GRAPH REDUCTION
    SHOOMAN, AM
    KERSHENBAUM, A
    PROCEEDINGS ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 1992, (SYM): : 441 - 448
  • [38] Aspect-level sentiment analysis: A survey of graph convolutional network methods
    Phan, Huyen Trang
    Nguyen, Ngoc Thanh
    Hwang, Dosam
    INFORMATION FUSION, 2023, 91 : 149 - 172
  • [39] A Review of Visibility Graph Methods Research in Time Series Complex Network Analysis
    Li H.-L.
    Wang J.
    Zhou W.-H.
    Cai Y.
    Lin W.-B.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (09): : 2598 - 2622
  • [40] Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods
    Aussem, Alex
    de Morais, Sergio Rodrigues
    Corbex, Marilys
    Favrel, Joel
    GRAPH-BASED REPRESENTATIONS IN PATTERN RECOGNITION, PROCEEDINGS, 2009, 5534 : 52 - +