Projecting signed two-mode networks

被引:2
|
作者
Schoch, David [1 ]
机构
[1] Univ Manchester, Mitchell Ctr Social Network Anal, Dept Sociol, Manchester M13 9PL, Lancs, England
来源
JOURNAL OF MATHEMATICAL SOCIOLOGY | 2021年 / 45卷 / 01期
关键词
Signed networks; balance theory; projections; ONE-MODE PROJECTION; STRUCTURAL BALANCE; BACKBONE; SPECTRUM;
D O I
10.1080/0022250X.2019.1711376
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Signed two-mode networks have so far predominantly been analyzed using blockmodeling techniques. In this work, we put forward the idea of projecting such networks onto its modes. Two projection methods are introduced which allow the application of known dichotomization tool for weighted networks to obtain a simple signed network. It turns out, however, that resulting networks may contain ambivalent ties, defined as conjunctions of positive and negative ties. We show that this requires the reformulation of matrices related to the network and introduce the complex adjacency and Laplacian matrix. These matrices are used to prove some properties related to balance theory including ambivalence.
引用
收藏
页码:37 / 50
页数:14
相关论文
共 50 条
  • [21] Projection operators for asymmetric two-mode coherent states and two-mode Fock states
    Wang, Shuai
    Sui, Yong-Xing
    Zhu, Xiao-Qin
    EUROPEAN JOURNAL OF PHYSICS, 2020, 41 (04)
  • [22] New theorem relating two-mode entangled tomography to two-mode Fresnel operator
    谢传梅
    范洪义
    ChinesePhysicsB, 2012, 21 (01) : 62 - 67
  • [23] New theorem relating two-mode entangled tomography to two-mode Fresnel operator
    Xie Chuan-Mei
    Fan Hong-Yi
    CHINESE PHYSICS B, 2012, 21 (01)
  • [24] Two-mode networks: the measurement of efficiency in the profiles of actors' participation in the occasions
    Celant, Simone
    QUALITY & QUANTITY, 2013, 47 (06) : 3289 - 3302
  • [25] Two-mode network autoregressive model for large-scale networks
    Huang, Danyang
    Wang, Feifei
    Zhu, Xuening
    Wang, Hansheng
    JOURNAL OF ECONOMETRICS, 2020, 216 (01) : 203 - 219
  • [26] Multiple factor analysis for time-varying two-mode networks
    Ragozini, Giancarlo
    De Stefano, Domenico
    D'Esposito, Maria Rosaria
    NETWORK SCIENCE, 2015, 3 (01) : 18 - 36
  • [27] Two-mode networks: the measurement of efficiency in the profiles of actors’ participation in the occasions
    Simone Celant
    Quality & Quantity, 2013, 47 : 3289 - 3302
  • [28] Research impact in co-authorship networks: a two-mode analysis
    Dehdarirad, Tahereh
    Nasini, Stefano
    JOURNAL OF INFORMETRICS, 2017, 11 (02) : 371 - 388
  • [29] Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
    Wang, Qiuping
    Yan, Ting
    Jiang, Binyan
    Leng, Chenlei
    Journal of Machine Learning Research, 2022, 23
  • [30] Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
    Wang, Qiuping
    Yan, Ting
    Jiang, Binyan
    Leng, Chenlei
    JOURNAL OF MACHINE LEARNING RESEARCH, 2022, 23