Abundant multilayer network model solutions and bright-dark solitons for a (3 + 1)-dimensional p-gBLMP equation

2021 ◽  
Vol 106 (1) ◽  
pp. 867-877
Author(s):  
Litao Gai ◽  
Wen-Xiu Ma ◽  
Bilige Sudao
Keyword(s):  
Network Model ◽  
Multilayer Network ◽  
Dark Solitons ◽  
Model Solutions

Method to enhance traffic capacity for multilayer networks

2020 ◽  
Vol 34 (13) ◽  
pp. 2050140
Author(s):  
Yongqiang Zhang ◽  
Yaming Li ◽  
Min Li ◽  
Jinlong Ma
Keyword(s):  
Network Model ◽  
High Speed ◽  
Great Influence ◽  
Packet Transmission ◽  
Multilayer Network ◽  
Transmission Effect ◽  
Traffic Capacity ◽  
Network Load ◽  
Simulation Results ◽  
High Degree

The network structure acquires great influence on the traffic capacity for complex network. Since the nodes with high degree usually bear large load in the process of packet transmission, we propose a new multilayer network model which can balance the load of low-speed and high-speed layers. The simulation results show that compared with the randomly select nodes multilayer network model, the new network model makes the multilayer network load more balanced, thereby enhancing traffic capacity of the network and reducing the possibility of congestion. This network model gives full play to the transmission advantages of the high-speed layer of the multilayer network, and can reduce the consumption of resources while achieving the same transmission effect, which is of guiding significance for the planning of network lines.

scholarly journals A Multilayer Network Model Using Weighted-Sum-Based Sine Elements

1998 ◽  
Vol 118 (10) ◽  
pp. 1509-1515
Author(s):  
Koichi Oike ◽  
Seiichi Koakutsu ◽  
Hironori Hirata
Keyword(s):  
Network Model ◽  
Weighted Sum ◽  
Multilayer Network

scholarly journals A Complex Systems Approach to Develop a Multilayer Network Model for High Consequence Facility Security

2021 ◽  
pp. 321-333
Author(s):  
Adam D. Williams ◽  
Gabriel C. Birch ◽  
Susan Caskey ◽  
Thushara Gunda ◽  
Jamie Wingo ◽  
...  
Keyword(s):  
Complex Systems ◽  
Network Model ◽  
Systems Approach ◽  
Multilayer Network

scholarly journals A multilayer network model of neuron-astrocyte populations in vitro reveals mGluR5 inhibition is protective following traumatic injury

2019 ◽  
Author(s):  
M.E. Schroeder ◽  
D. S. Bassett ◽  
D. F. Meaney
Keyword(s):  
Network Model ◽  
High Speed ◽  
Traumatic Injury ◽  
Network Models ◽  
Population Level ◽  
Multilayer Network ◽  
Population Activity ◽  
Functional Community ◽  
Single Cell Type

AbstractDespite recent advances in understanding neuron-astrocyte signaling, little is known about astrocytic modulation of neuronal activity at the population level, particularly in disease or following injury. We used high-speed calcium imaging of mixed cortical cultures in vitro to determine how population activity changes after disruption of signaling and mechanical injury. We constructed a multilayer network model of neuron-astrocyte connectivity, which captured unique topology and response behavior not evident from analysis of single cell type networks. mGluR5 inhibition decreased neuronal, but not astrocytic, activity and functional connectivity following traumatic injury, and also altered higher-order topological properties of multilayer networks. Comparison of spatial and functional community structure revealed that astrocyte segments of the same cell often belong to separate functional communities based on neural connectivity. Our findings demonstrate the utility of multilayer network models for characterizing the multiscale connectivity of two distinct but functionally dependent cell populations.

scholarly journals Exploring Drug Treatment Patterns Based on the Action of Drug and Multilayer Network Model

2020 ◽  
Vol 21 (14) ◽  
pp. 5014
Author(s):  
Liang Yu ◽  
Yayong Shi ◽  
Quan Zou ◽  
Shuhang Wang ◽  
Liping Zheng ◽  
...  
Keyword(s):  
Drug Treatment ◽  
Network Model ◽  
Drug Target ◽  
Trichostatin A ◽  
Drug Effects ◽  
Single Layer ◽  
Drug Repurposing ◽  
Specific Protein ◽  
Treatment Patterns ◽  
Multilayer Network

Some drugs can be used to treat multiple diseases, suggesting potential patterns in drug treatment. Determination of drug treatment patterns can improve our understanding of the mechanisms of drug action, enabling drug repurposing. A drug can be associated with a multilayer tissue-specific protein–protein interaction (TSPPI) network for the diseases it is used to treat. Proteins usually interact with other proteins to achieve functions that cause diseases. Hence, studying drug treatment patterns is similar to studying common module structures in multilayer TSPPI networks. Therefore, we propose a network-based model to study the treatment patterns of drugs. The method was designated SDTP (studying drug treatment pattern) and was based on drug effects and a multilayer network model. To demonstrate the application of the SDTP method, we focused on analysis of trichostatin A (TSA) in leukemia, breast cancer, and prostate cancer. We constructed a TSPPI multilayer network and obtained candidate drug-target modules from the network. Gene ontology analysis provided insights into the significance of the drug-target modules and co-expression networks. Finally, two modules were obtained as potential treatment patterns for TSA. Through analysis of the significance, composition, and functions of the selected drug-target modules, we validated the feasibility and rationality of our proposed SDTP method for identifying drug treatment patterns. In summary, our novel approach used a multilayer network model to overcome the shortcomings of single-layer networks and combined the network with information on drug activity. Based on the discovered drug treatment patterns, we can predict the potential diseases that the drug can treat. That is, if a disease-related protein module has a similar structure, then the drug is likely to be a potential drug for the treatment of the disease.

scholarly journals Multilayer Network Model of Movie Script

2018 ◽  
pp. 782-796 ◽  
Author(s):  
Youssef Mourchid ◽  
Benjamin Renoust ◽  
Hocine Cherifi ◽  
Mohammed El Hassouni
Keyword(s):  
Network Model ◽  
Multilayer Network ◽  
Movie Script

scholarly journals Movienet: a movie multilayer network model using visual and textual semantic cues

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Youssef Mourchid ◽  
Benjamin Renoust ◽  
Olivier Roupin ◽  
Lê Văn ◽  
Hocine Cherifi ◽  
...  
Keyword(s):  
Network Model ◽  
Network Models ◽  
Extraction Process ◽  
Multimedia Content ◽  
Video Content ◽  
Multilayer Network ◽  
Semantic Cues ◽  
Star Wars ◽  
Movie Content ◽  
Networks Analysis

AbstractDiscovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for this purpose. When an audience watches a movie, they usually compare the characters and the relationships between them. For this reason, most of the modelsdeveloped so far are based on social networks analysis. They focus essentially on the characters at play. By analyzing characters interactions, we can obtain a broad picture of the narration’s content. Other works have proposed to exploit semantic elements such as scenes, dialogues, etc.. However, they are always captured from a single facet. Motivated by these limitations, we introduce in this work a multilayer network model to capture the narration of a movie based on its script, its subtitles, and the movie content. After introducing the model and the extraction process from the raw data, weperform a comparative analysis of the whole 6-movie cycle of the Star Wars saga. Results demonstrate the effectiveness of the proposed framework for video content representation and analysis.

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