TY - JOUR
T1 - Identify Competition in Non-Explicit Competition Networks with a Case Study in Politics
AU - Martinez Mejorado, Denisse Aneth
AU - Ramirez Marquez, Jose Emmanuel
N1 - Publisher Copyright:
© 2019 The Author(s).
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - competition
KW - networks
KW - politics
UR - http://www.scopus.com/inward/record.url?scp=85074973482&partnerID=8YFLogxK
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U2 - 10.1016/j.procs.2019.05.065
DO - 10.1016/j.procs.2019.05.065
M3 - Conference article
AN - SCOPUS:85074973482
SN - 1877-0509
VL - 153
SP - 146
EP - 153
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 17th Annual Conference on Systems Engineering Research, CSER 2019
Y2 - 3 April 2018 through 4 April 2018
ER -