Betweenness centrality is a prominent centrality measure expressing importance of a node
within a network, in terms of the fraction of shortest paths passing through that node. Nodes …

This paper addresses the problem of identifying central nodes from the information flow
standpoint in a social network. Betweenness centrality is the most prominent measure that …

Influence maximization - the problem of finding a small set of seed nodes in social network
such that the spread of influence under certain model of cascading influence is maximized- is …

One of the most relevant characteristics of social networks is community structure, in which
network nodes are joined together in densely connected groups between which there are …

Trust-aware recommender systems are intelligent technology applications that make use of
trust information and user personal data in social networks to provide personalized …

Background COVID-19 associated mucormycosis (CAM) has been known as one of the most
severe post-COVID morbidities. Objectives To describe CAM cases, identify possible risk …

In this paper, motivated by network inference, we introduce a general framework, called LSR-Weighted,
to efficiently recover sparse characteristic of links in weighted networks. The …

Background: Post-spinal anesthesia back pain often initiates with needle insertion and may
persist for months, particularly among young women following cesarean section. Mechanical …

Background: This double-blind clinical trial aimed to investigate the effectiveness of splanchnic
nerve blocks using different medication combinations on pain severity and duration of …

As soon as Abu Bakr b. Abi Qahafa received the news on gathering of Khazrajid Ansars in the
Saqifa of Bani Sâida under Saad b. Ubada,went there along with his assistants-Umar b. al-…