Title :
Model-Based Monitoring and Analysis of the Network Community Dynamics in a Textured State Space
Author :
Tsukanova, O.A. ; Vishnyakova, E.P. ; Maltseva, S.V.
Author_Institution :
Fac. of Bus. Inf., Nat. Res. Univ. "Higher Sch. of Econ.", Moscow, Russia
Abstract :
The basic model of a network community as a dynamic system is suggested. Evolutionary platform concept and its development by the "black box" principle are described. Evolutionary progress and also different types of the network community motion order in a state space are considered. Such system categories as a "space between the texture layers" and "evolution rate" are determined. Different metrics related to the network community graph features are analyzed. Experiments are conducted on the basis of the data, imported from the Twitter Network using NodeXL software.
Keywords :
monitoring; network theory (graphs); social networking (online); NodeXL software; Twitter network; evolutionary platform concept; evolutionary progress; model-based analysis; model-based monitoring; network community dynamics; network community graph features; textured state space; Communities; Data models; Data structures; Dynamics; Measurement; Twitter; evolution rate; evolutionary platform; motion order; network community dynamics; textured state space;
Conference_Titel :
Business Informatics (CBI), 2014 IEEE 16th Conference on
Conference_Location :
Geneva
DOI :
10.1109/CBI.2014.32
