Identification of Patterns of Informative Behavior in the Texts with the Social Networks Analysis

被引:0
|
作者
Gorbea Portal, Salvador [1 ]
Batista Paneque, Dania [2 ]
机构
[1] Univ Nacl Autonoma Mexico, Inst Invest Bibliotecol, Mexico City, DF, Mexico
[2] Univ Nacl Autonoma Mexico, Inst Invest Bibliotecol, Programa Doctorado Bibliotecol & Estudios Informa, Mexico City, DF, Mexico
来源
E-CIENCIAS DE LA INFORMACION | 2018年 / 8卷 / 01期
关键词
Social networks analysis; Pajek; Analysis of texts; Informetrics; Organizational environment of companies;
D O I
10.15517/eci.v8i1.28005
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This paper reports the results of research aimed at identifying patterns of significant knowledge contained in the documentation of thirteen Mexican companies submitted for the purpose of the Organizational Environment evaluation of "Super Companies", a ranking issued exclusively by the consulting firm Top Companies (R). Maps of company relationships and the attributes of the selected variables are developed on the basis of the quantitative processing of six variables and indicators, and an analysis of social networks. The sources and the methodology employed reveal patterns of informational behavior in the specialized documentation that can serve to support decision making with regard to the evaluation and preparation of the rankings issued by the specialized consultants.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Identification of Affective States Based on Automatic Analysis of Texts of Comments in Social Networks
    Yu. Yu. Dyulicheva
    [J]. Automation and Remote Control, 2022, 83 : 1877 - 1885
  • [2] Identification of Affective States Based on Automatic Analysis of Texts of Comments in Social Networks
    Dyulicheva, Yu. Yu.
    [J]. AUTOMATION AND REMOTE CONTROL, 2022, 83 (12) : 1877 - 1885
  • [3] A User Identification Algorithm Based on User Behavior Analysis in Social Networks
    Deng, Kaikai
    Xing, Ling
    Zheng, Longshui
    Wu, Honghai
    Xie, Ping
    Gao, Feifei
    [J]. IEEE ACCESS, 2019, 7 : 47114 - 47123
  • [4] Identification of Informative Behavior Parameters in Users of VKontakte Social Network as Markers of Depression
    Kiselnikova, N., V
    Stankevich, M. A.
    Danina, M. M.
    Kuminskaya, E. A.
    Lavrova, E., V
    [J]. PSYCHOLOGY-JOURNAL OF THE HIGHER SCHOOL OF ECONOMICS, 2020, 17 (01): : 73 - 88
  • [5] Informative core identification in complex networks
    Miao, Ruizhong
    Li, Tianxi
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2023, 85 (01) : 108 - 126
  • [6] Identification of informative subgraphs in brain networks
    Marinazzo, D.
    Wu, G.
    Pellicoro, M.
    Stramaglia, S.
    [J]. PHYSICS, COMPUTATION, AND THE MIND - ADVANCES AND CHALLENGES AT INTERFACES, 2013, 1510 : 74 - 84
  • [7] Informative Integrity Frictions in Social Networks
    Garcia-Pueyo, Lluis
    Guthrie, Samantha
    Schwarz, Bernardo Santana
    Xu, Baoxuan
    [J]. COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2022, WWW 2022 COMPANION, 2022, : 141 - 145
  • [8] Students' Behavior of Asking Questions Through Narrative and Informative Texts
    Aslan Altan, Bilge
    [J]. JOURNAL OF EDUCATION-US, 2022, 202 (03): : 320 - 329
  • [9] Identification of Autopoietic Communication Patterns in Social and Economic Networks
    Berg, Dmitry B.
    Zvereva, Olga M.
    [J]. ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS, AIST 2015, 2015, 542 : 286 - 294
  • [10] Finding Patterns of Students' Behavior in Synthetic Social Networks
    Obadi, Gamila
    Drazdilova, Pavla
    Martinovic, Jan
    Slaninova, Katerina
    Snasel, Vaclav
    [J]. 2010 INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2010), 2010, : 411 - 413