Analysis of Social Network Parameters and the Likelihood of its Construction

Savchenko, Vitalii

doi:10.30534/ijeter/2020/05822020

Cited by 15 publications

(10 citation statements)

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“…Studies [5]- [7] describe some particular cases of constructing spatial group formations based on information about a limited range of neighbors. Model [8] describes the movement of search agents in the decision support system.…”

Section: Air Defense Planning From An Impact Of a Group Of Unmanned Aerial Vehicles Based On Multi-agent Modelingmentioning

confidence: 99%

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Air Defense Planning from an Impact of a Group of Unmanned Aerial Vehicles based on Multi-Agent Modeling

Shchypanskyi¹

2020

IJETER

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The paper discusses the methodology of forming an air defense plan to counteract a group of drones based on multiagent modeling. It is shown that the application of traditional planning methods does not take into account the peculiarities of the defense of objects against large groups of air targets in case of their simultaneous application. The use of a multiagent paradigm for modeling is considered, which considers the defense process as an interaction of two groups of agents: attack and defense. The air situation model is based on the application of agents with simple control methods and the use of cohesive and repulsive functions. The air defense model includes adequate air defense agents' response to air targets. The conclusion about the possibility of multi-agent air defense planning was confirmed by modeling of an infrastructure object defense from attack of a group of drones.

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Section: Air Defense Planning From An Impact Of a Group Of Unmanned Aerial Vehicles Based On Multi-agent Modelingmentioning

confidence: 99%

“…9. The start of the UAVs is in the square (0,0)- (5,5), the target point has coordinates (20,20). At the 30th step of model time, there is a distribution of the group around the target point, which is approaching to equal distribution.…”

Section: Components Two and Threementioning

confidence: 99%

Air Defense Planning from an Impact of a Group of Unmanned Aerial Vehicles based on Multi-Agent Modeling

Shchypanskyi¹

2020

IJETER

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“…In [14], restrictions on the movement of agents are formulated, so maintaining connectivity is considered through restrictions on the distance of agents from each other, while in [15], the main limitation of building a network based on the construction of a connectivity graph. The publication [16] proposes an algorithm for calculating connected subgraphs of the connectivity graph of agents during their initialization, which is then used to build control laws in the network. Another approach to solving the problem of maintaining the connectivity of the agent network is proposed in [17], which uses a potential function to maintain connectivity.…”

Section: Mobile Mesh Connectivitymentioning

confidence: 99%

Ensuring Information Availability in a Mobile MESH Network with Connectivity Restrictions

Savchenko¹

2020

IJETER

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The article investigates the problem of providing information availability for mobile MESH networks. It is shown that the main approach to ensuring information availability should be to ensure the structural connectivity of the network. It is proved that for the description of the majority of tasks of the distributed network it is expedient to use Voronoi partition and for maintenance of information availability -connectivity function. The simulation results prove the truth of the made theoretical assumptions.

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“…та Ахрамовича В.М. [8,9] описують параметри соціальних мереж з графічним представленням даних, а стаття Підлазова А. та Щетініна Д. [9] -модель зростання соціальної мережі.…”

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“…[8,9] описують параметри соціальних мереж з графічним представленням даних, а стаття Підлазова А. та Щетініна Д. [9] -модель зростання соціальної мережі. Більш детально математичні залежності для степеневих соціальних мереж розкриваються у статті Ахрамовича В.М.…”

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Assessment of personal data safety parameters in power social networks based on topology

Savchenko¹,

Akhramovych²,

Akulinicheva³

2020

MIS

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The article investigates the model of the power social network, which, in contrast to classical approaches, allows to analyze the dynamic processes of interaction of individual agents within the network, in particular the dissemination of information about social impact. Expansion of social networks, connection of new nodes leads to an increase in the load on the system as a whole and negatively affects the protection of users, including their personal data. Traditionally, security parameters in social networks are studied using statistical methods and generalized mathematical dependencies and are fragmentary. The aim of the article is to develop a methodology for assessing the security parameters of personal data for networks with a degree distribution of connectivity of nodes based on the study of their topological features. The research is carried out on the basis of the classical Barabashi-Albert model using the principle of preferential connection, which puts the probability of making new connections depending on the number of existing connections of the node. A larger node means more opportunities to pick up new connections added to the network. The main security parameters are: the degree of the node, the average path length, the probability of joining new nodes, the clustering factor, the correlation between the degrees of neighboring nodes. It is shown that increasing the degree of the node and the length of the middle path has a negative effect on the protection of personal data, as it increases the likelihood of interception of information. Also, with increasing clustering factor, the flow of information increases, which leads to an increase in the load on the protection system and negatively affects the protection. Correlation between the degrees of neighboring nodes affects the redistribution of information flows and can, depending on the degree of nodes, both negatively and positively affect the protection. Modeling for networks of different scales is carried out and conclusions on expediency of application of a technique are made.

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Analysis of Social Network Parameters and the Likelihood of its Construction

Cited by 15 publications

References 0 publications

Air Defense Planning from an Impact of a Group of Unmanned Aerial Vehicles based on Multi-Agent Modeling

Air Defense Planning from an Impact of a Group of Unmanned Aerial Vehicles based on Multi-Agent Modeling

Ensuring Information Availability in a Mobile MESH Network with Connectivity Restrictions

Assessment of personal data safety parameters in power social networks based on topology

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