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[HTML][HTML] Centrality measures in fuzzy social networks
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 …
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
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 …
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 …
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 …
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 …
network analysis. Thus far, most studies aiming to identify critical members have taken …
Approximate positional analysis of fuzzy social networks
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 …
social networks, scholars have developed various procedures for reducing these networks …
Locating influential nodes in hypergraphs via fuzzy collective influence
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 …
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 …
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
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 …
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 …
углубления, систематизации исследовательской информации об отношении к стрессу …