An enforced non-negative matrix factorization based approach towards community detection in dynamic networks
Annotation
Identifying community structures within network dynamics is important for analysing the latent structure of the network, understanding the functions of the network, predicting the evolution of the network as well as detecting unusual events of the network. From various perspectives, a diversity of approaches towards dynamic community detection has been advised. However, owing to the difficulty in parameter adjustment, high temporal complexity and detection accuracy is diminishing as time slice rises; and recognizing the community composition in dynamic networks gets extremely complex. The basic models, principles, qualities, and techniques of latent factor models, as well as their various modifications, generalizations and extensions, are summed up systematically in this study which focuses on both theoretical and experimental research into latent factor models across the latest ten years. Latent factor model like non-negative matrix factorization is considered one of the most successful models for community identification which aims to uncover distributed lower dimension representation so as to reveal community node membership. These models are mostly centred on reconstructing the network from node representations while requiring the representation to have special desirable qualities (non-negativity). The purpose of this work is to provide an experimental as well as theoretical comparative analysis of the latent factor approaches employed to detect communities within dynamic networks. Parallelly we have devised the generic and improved non-negative matrix factorization-based model which will help in producing robust community detection results in dynamic networks. The results have been calculated from the experiments done in Python. Moreover our models methodology focuses on information dynamics so as to quantify the information propagation among the involved nodes unlike existing methods that considers networks first-order topological information described by its adjacency matrix without considering the information propagation between the nodes. In addition, this paper intends to create a unified, state of the art framework meant for non-negative matrix factorization conception which could be useful for future study.
Keywords
Постоянный URL
Articles in current issue
- Influence of the dimension, geometry, and orientation of nanostructures on the distribution of the electric field in matters of enhancing of Raman scattering
- Optical properties of planar plasmon active surfaces modified with gold nanostars
- Application of bioradiophotonics methods for the processing of bioelectric signals
- Automatic recognition of internal structures in translucent objects based on hologram-moire interferometry.
- Application of Neural Network and Computer Vision Technologies for Image Analysis of Skin Lesion
- Implementation of digital holographic interferometry for pulsed plasma studies
- Polychromic light source for the realization of multispectral processing method of skin malignant lesions images
- Application of additional high-frequency modulation to reduce influence of residual amplitude modulation LiNbO3 phase modulator on fiber optical gyroscope signal
- Optimization of the optical scheme of a photodetector module operating in the spectral range of 1.3–1.6 μm
- Residue feature analysis with empirical mode decomposition for mining spatial sequential patterns from serial remote sensing images.
- Adaptive nonlinear motion parameters estimation algorithm for digital twin of multi-link mechanism motion trajectory synthesis
- Investigation of spectral-luminescent properties of cesium CsPb(BrCl)3 quantum dots in fluorophosphate glasses
- Investigation of optical phenomena in multispectral matrix photodetector based on silicon
- The impact of yttrium aluminum garnet stoichiometry deviation on the conversion efficiency of tetravalent chromium ions
- Influence of low temperatures and thermal annealing on the optical properties of InGaPAs quantum dots
- Pressure control in material extrusion additive manufacturing
- Visual display system of changes in physiological states for patients with chronic disorders and data transmission via optical wireless communication.
- Ice reconnaissance data processing under low quality source images
- Korsakov I.N., and othersPrediction of fatal outcome in patients with confirm COVID-19
- Generation of the weakest preconditions of programs with dynamic memory in symbolic execution
- On the possibility of expanding the studied dynamic ranges in thermal anemometry
- The beating effect in uniaxial oriented polymer materials
- Numerical method for calculating the nozzle thrust of a wide-range rocket engine
- Numerical simulation of propulsive aerodynamic profiles