Mixed Network

Author(s):  
Sanaa Taha ◽  
Xuemin (Sherman) Shen
Keyword(s):  
2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Maryam Nematizadeh ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami ◽  
Mohsen Vaez-Ghasemi

In the real world, there are processes whose structures are like a parallel-series mixed network. Network data envelopment analysis (NDEA) is one of the appropriate methods for assessing the performance of processes with these structures. In the paper, mixed processes with two parallel and series components are considered, in which the first component or parallel section consists of the shared in-puts, and the second component or series section consists of undesirable factors. By considering the weak disposability assumption for undesirable factors, a DEA approach as based on network slack-based measure (NSBM) is introduced to evaluate the performance of processes with mixed structures. The proposed model is illustrated with a real case study. Then, the model is developed to discriminate efficient units.


2020 ◽  
Vol 124 (46) ◽  
pp. 25578-25587
Author(s):  
Gustavo Galleani ◽  
Henrik Bradtmüller ◽  
Hssen Fares ◽  
Silvia Helena Santagneli ◽  
Marcelo Nalin ◽  
...  

2013 ◽  
Vol 54 ◽  
pp. 17-36 ◽  
Author(s):  
Jack Haddad ◽  
Mohsen Ramezani ◽  
Nikolas Geroliminis

Author(s):  
Juan Pablo D‘Amato ◽  
Alejandro Perez ◽  
Leonardo Dominguez ◽  
Aldo Rubiales ◽  
Rosana Barbuzza ◽  
...  

2020 ◽  
Vol 22 (7) ◽  
pp. 1245-1265
Author(s):  
Rebekah Larsen

Networks are almost ubiquitous in the social sciences, in terms of method and structure. Dominant discourses around networks–concerning their purported democratic, progressive values and capacities–also impact how they are approached in research. This article illustrates the potential of this impact by tracing the trajectory and findings of a project focused on networked discussion of an Internet privacy debate. Using mixed methods—hyperlink network mapping, textual analysis (qualitative and quantitative), and semi-structured interviews—I examine online framing of a controversial data protection concept, the Right to be Forgotten. Initial, more “traditional” research approaches allowed for insight only into the most central and visible frames and sources. This led to a reorientation of research approach. In attempt to diversify sources and framings, I began focusing on the margins and off the “networked public sphere.” This article thus also recounts the significant empirical findings that resulted from such reflexivity and reorientation.


2018 ◽  
Vol 20 (3) ◽  
pp. 1629-1641 ◽  
Author(s):  
Weimin Wang ◽  
Randilynn Christensen ◽  
Brittany Curtis ◽  
Steve W. Martin ◽  
John Kieffer

A new statistical thermodynamic model has been developed to describe the activated process of cation hopping in mixed network former glasses based on the systematic comparison between the adiabatic elastic moduli measured using Brillouin light scattering and the ionic conductivity measured using dielectric impedance spectroscopy.


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