Type Of Network Analysis Research Articles

The Logic of Neurite Outgrowth

Cannabinoid receptor 1 (CB1R) regulates neurite outgrowth, has important functions in central nervous system development, and is a drug target for several diseases. Bromberg et al . used a combination of transcriptional profiling on DNA arrays with graph theory analysis of known signaling networks to explore the effects of signaling by the CB1R. Unexpectedly, the analysis predicted that the product of the breast cancer susceptibility gene BRCA1 was likely to regulate transcription factors activated during CB1R-stimulated neurite outgrowth. Furthermore, depletion of BRCA1 did indeed inhibit CB1R-stimulated neurite outgrowth. The transcription factor PAX6 was also regulated in response to cannabinoid signaling. This type of network analysis is useful to define the logic of complex signaling decision processes. K. D. Bromberg, A. Ma'ayan, S. R. Neves, R. Iyengar, Design logic of a cannabinoid receptor signaling network that triggers neurite outgrowth. Science 320 , 903-909 (2008). [Abstract] [Full Text]

Public‐Nonprofit Partnerships for Collective Action in Dynamic Contexts of Emergencies

This article seeks to understand the problem of building cooperation among public and nonprofit organizations to achieve public service goals in emergencies. It also examines the factors that contribute to successful public‐nonprofit partnerships (PNP) and what factors inhibit their development. The theoretical framework draws upon the literature on social capital, network theory and organizational collaboration. The article uses the network analysis perspective to assess the relationships among organizations in terms of their strength, direction and density in the rapid evolution of emergency response operations. The theoretical framework is applied to analyse the interorganizational responses to the 11 September 2001 World Trade Center (WTC) terrorist attacks in New York City. Emergency response operations required coordinated action among many actors across multiple jurisdictions under conditions of urgent stress, high demand and tight time constraints. This type of network analysis can constitute a field of substantial interest and importance to democratic societies that are seeking to manage problems of public service delivery in emergencies using innovative means.

A general model for representing arbitrary unsymmetries in various types of network analysis

When dealing with unsymmetric faults various proposals have been put forward. In general they have been characterized by specific treatment of the single fault in accordance with the structure and impedances involved. The model presented is based on node equations and was originally developed for transient stability studies in order to allow for an arbitrary fault representation as seen from the positive sequence network. The method results in impedances -or admittances-combining the negative sequence and zero sequence representation for the symmetrical network with the structure and electrical constants of the unsymmetry involving one or more buses. These impedances are introduced in the positive sequence network in the nodes involved in the unsymmetrical conditions. In addition the model can be used for static fault current analysis and presents also in this connection a general method of solution; the method is easy to use since the task of user is limited to establishing the node admittance matrix of the unsymmetry expressed in phase coordinates. The paper is completed with two examples showing the application of the method, one fault for which a well known representation exists and one complicated fault situation which has not been treated before for traditional transient stability analysis.

Dynamics of Complaint Management in the Service Organization

While the consumer affairs and services marketing literatures recognize the importance of input from customers, little is known about how customer feedback systems might operate, particularly in dealing with customer complaints. This paper offers an information processing model of the complaint information flow within the organization and poses hypotheses based on the suggested model. A new field study technique using a type of network analysis is used to empirically test hypotheses and discover barriers and facilitators to the flow of communications. The study provides insight concerning how complaint information flows through the organization after it has been received by a customer contact employee. The results provide support for the thesis that the role of complaint handler and manager in providing the service is at least as important as the role of the customer contact employee.

Symbolic network function generation via discrete Fourier transform

A new method of symbolic network function generation is presented. The method is based upon the theory of the discrete Fourier transform and not restricted in its application to any particular type of network analysis or network configuration. It is particularly attractive when the number of symbolic variables to be handled is not large.