Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

Modern network science has become a prominent concept, attracting diverse scientific societies to solve a wide spectrum of theoretical and practical problems. Tourism is a sphere wherein the outlines of the network’s scope are distinct. In the study, the network approach was applied in its dual form for both network-like regional tourism data (NLRTD) and network-unlike regional tourism data (NURTD), to explore the tourism destination of Baikal natural territory, Russia, in regard to the challenges of the general sustainability of regional socio-ecological systems. The aim of the study is to elaborate a comprehensive network platform to harmonize such complex and fragile systems as Baikal natural territory. Saturated with networking ideology, the approach spans a huge set of interacting social, technological and ecological elements of the comprehensive system in order to support its functionality and sustainability in general. Particularly, the paper utilizes data from interviews done in Olkhon island (2017–2018), and publicly available textual, spatial and temporal data. NLRTD with pertinent networkization procedures was utilized in transportation schemes, while the NURTD concept implies the networkalization of landscape and land use maps. The platform provides researchers and stakeholders with concentrated information which might be not only effectively processed, but also intelligible, and correctly compared and implemented in contiguous spheres

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

Modern network science has become a prominent concept, attracting diverse scientific societies to solve a wide spectrum of theoretical and practical problems. Tourism is a sphere wherein the outlines of the network’s scope are distinct. In the study, the network approach was applied in its dual form for both network-like regional tourism data (NLRTD) and network-unlike regional tourism data (NURTD), to explore the tourism destination of Baikal natural territory, Russia, in regard to the challenges of the general sustainability of regional socio-ecological systems. The aim of the study is to elaborate a comprehensive network platform to harmonize such complex and fragile systems as Baikal natural territory. Saturated with networking ideology, the approach spans a huge set of interacting social, technological and ecological elements of the comprehensive system in order to support its functionality and sustainability in general. Particularly, the paper utilizes data from interviews done in Olkhon island (2017–2018), and publicly available textual, spatial and temporal data. NLRTD with pertinent networkization procedures was utilized in transportation schemes, while the NURTD concept implies the networkalization of landscape and land use maps. The platform provides researchers and stakeholders with concentrated information which might be not only effectively processed, but also intelligible, and correctly compared and implemented in contiguous spheres

Model of Interacting Stem Networks for Solving Problems of Topological Resilience of Complex Systems

Advanced network models for solving security problems of complex systems has been analyzed. For further development of the approach previously called comprehensive network lace, a new topological description of complex systems — composite stem model has been proposed. Concomitant classification of offensive actions has been presented

Vulnerability of R-MAT networks with communities

A generator R-MAT for modeling networks with different laws of link constructions within and between communities has been developed. Network attack simulations have been performed and pertinent robustness of diverse network combinations has been concluded

Network Paradigm of Information Security

An issue of topological analysis has been claimed as a key one while creating robust and secure network systems. Some examples of complex network applications in information security domain have been cited

Topological Vulnerability of Evolving Networks

Evolving complex network as a model of a real system was analyzed. Contrary to a traditional approach for exploration of network evolution it was proposed to study its structural vulnerability during two network phases — formation and decline ones. Calculations have shown such a network after being at­tacked sometimes demonstrated a behavior in contrast to intuitive ideas. The results might be used for construction of sustainable information infrastructure

Identification of sound information sources by network analysis

A method for processing of audio information has been developed and its application to automatic analysis and recording classification, including speech, has been proposed. The method is based on the information representation in the form of associative semantic (cognitive) network structure

Security Threats Distance Education Projects in Countries with a High Failed States Index

Within the composition of the ontology of the information security system of distance education, set of threats for countries with a high value of Failed States Index has been claimed. The main focus is on the topological components of social and technical channels for vulnerabilities which interact with the threats