[HTML][HTML] Centrality measures in fuzzy social networks

A Zareie, R Sakellariou - Information Systems, 2023 - Elsevier
Centrality measures have been widely used to capture the properties of different nodes in a
social network, particularly when the edges are fully deterministic. Various models have also …

Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns

H Zhang, X Zhou, X Ye, G Tang, H Wang… - GIScience & Remote …, 2023 - Taylor & Francis
One of the most crucial topics in spatial interaction studies is mining patterns from extensive
origin-destination (OD) flow data to capture interregional associations. However, prevailing …

Research on urban agglomeration spatial network structure in the middle reaches of the Yangtze River based on real-time traffic accessibility scenario analysis

Y Zheng, J **ao, J Tang - Transportation Letters, 2024 - Taylor & Francis
Investigating the spatial network structure of urban agglomerations based on traffic
accessibility has an important practical significance in accelerating the process of regional …

Modelling and application of fuzzy adaptive minimum spanning tree in tourism agglomeration area division

W Gao, Q Zhang, Z Lu, D Wu, X Du - Knowledge-Based Systems, 2018 - Elsevier
Tourism agglomeration area division plays an increasingly important role in government's
policy making on planning and development of tourism industry nowadays. With the …

Structural centrality in fuzzy social networks based on fuzzy hypergraph theory

Q Wang, ZT Gong - Computational and Mathematical Organization Theory, 2020 - Springer
The knowledge of key network members is generally known to be critical to fuzzy social
network analysis. Thus far, most studies aiming to identify critical members have taken …

Approximate positional analysis of fuzzy social networks

I Micić, S Stanimirović, Z Jančić - Fuzzy Sets and Systems, 2023 - Elsevier
In order to facilitate the processing of vast amounts of data that emerges in the study of fuzzy
social networks, scholars have developed various procedures for reducing these networks …

Locating influential nodes in hypergraphs via fuzzy collective influence

SS Zhang, X Yu, GQ Sun, C Liu, XX Zhan - Communications in Nonlinear …, 2025 - Elsevier
Identifying the most influential nodes has become a crucial topic in network science for
applications such as viral marketing, rumor suppression, and disease control. However …

Dissilient interpersonal influences in social network analysis

A Khalid, H Chaudhry, I Beg - Fuzzy Sets and Systems, 2023 - Elsevier
Influence models are currently studied by researchers working in the field of social network
analysis. The basic assumption in the existing literature is that the degree of interpersonal …

A hybrid node classification mechanism for influential node prediction in Social Networks

M Prakash, P Pabitha - Intelligent Data Analysis, 2020 - journals.sagepub.com
Social Networks is an essential phenomenon in all aspects through various perspectives.
These networks contain a large number of users better termed as nodes and the …

[PDF][PDF] Системный анализ стрессоустойчивости сотрудников сферы обслуживания

ЕЮ Клепцова, ЛВ Макшанцева… - Человеческий …, 2020 - humancapital.msk.ru
Актуальность проблемы исследования заключается в необходимости конкретизации,
углубления, систематизации исследовательской информации об отношении к стрессу …