Identify Competition in Non-Explicit Competition Networks with a Case Study in Politics | Zendy

Denisse Aneth Martinez Mejorado | Zendy; José Emmanuel Ramirez Marquez | Zendy

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Identify Competition in Non-Explicit Competition Networks with a Case Study in Politics

Author(s) -

Denisse Aneth Martinez Mejorado,

José Emmanuel Ramirez Marquez

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.05.065

Subject(s) - competition (biology) , computer science , visualization , politics , data science , data visualization , operations research , industrial organization , data mining , economics , political science , law , ecology , biology , engineering

Generally, competition networks are groups that compete against each other and their performance is dependent on that of opposing networks. This paper develops a methodology and an application to examine actions or decisions that reveal affiliation and competition when these are not explicitly defined. This was achieved by defining a cooperation threshold along with a visualization framework, which are the main contributions of this paper. The visualization identifies commonalities, differences, and attributes associated with the behavior and characteristics of the actors in each competition network. Data from the Mexican Senate bills from 2012-2015 were used to illustrate the contributions.

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