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Based on the work of Reid and DePalma (2005), a new type of location function on trees, called the weight balance function and denoted by W b, is introduced. We compare W b with the well known median function M e d and show that W b ( π ) ⊆ M e d ...

Driven by the substantial profits, the evolution of Portable Executable (PE) malware has posed persistent threats. PE malware classification has been an important research field, and numerous classification methods have been proposed. With the development ...

Data has become an asset for companies, originating from various sources, such as IoT paradigms. It is crucial to safeguard its life cycle using suitable, scalable, and effective technologies, like those enabled by cloud computing models. However, in ...

Orthogonal linear mapping is a commonly used approach for generating cross-lingual embedding between two monolingual corpora that uses a word frequency-based seed dictionary alignment approach. While this approach is found to be effective for ...

• Orthogonal linear mapping performs poorly in cross-lingual embeddings of non-isomorphic languages.
• Correlation analysis in dictionary pairs shows better correlation in centrality than frequency.
• Centrality measure is more favorable ...

The rapid development of computer and database technologies has led to the high growth of large-scale datasets. This produces an important issue for data mining applications called the curse of dimensionality, where the number of features is much ...

• A metric is proposed to measure the influence of features themselves.
• The new discriminant function is proposed to select the optimal feature subset.
• Our method can effectively reduce the dimensionality and computational ...

Even though Artificial Intelligence (AI) has been having a transformative effect on human life, there is currently no precise quantitative method for measuring and comparing the performance of different AI methods. Technology Improvement Rate (TIR)...

We propose a label propagation-based algorithm to extract community structure using a new similarity measure based on centrality and common neighbours. Initially, a distinct label is assigned to each vertex. Along the process, each vertex adopts ...

The detection of central nodes in a network is a fundamental task in network science and graph data analysis. During the past decades, numerous centrality measures have been presented to characterize what is a central node. However, few studies ...

An H-sequence of a vertex is defined by iteratively applying H-index to neighbors of the vertex in a graph. It is still not known whether changing the initial values affects the convergence of H-sequences. Our purpose is to investigate the ...

• Two algorithms for computing the contagion threshold are presented.
• Contagion thresholds of connected sets of nodes in a tree are completely determined.
• Bounds for contagion thresholds of nodes in a general network are established.

Consider a story initiated by a set S of nodes belonging to a network. We assume that all the remaining nodes in the network have the same adoption threshold q such that each of them will accept the story if and only if the story has been ...

Information spread is an intriguing topic to study in network science, which investigates how information, influence, or contagion propagate through networks. Graph burning is a simplified deterministic model for how information ...

• Graph burning is used in modeling, analysis of information spread in social networks

This paper presents a method that utilizes graph theory and state modelling algorithms to perform automatic complexity analysis of the architecture of cyber-physical systems (CPS). It describes cyber physical systems risk assessment (CPSRA), a ...

This article proposes a model (Crime Scraping Engine) to identify human networks and group activities using the crime victim’s data. These activities can be related to crime networks or terror networks. The primary focus of this work is to ...

The spread of radicalization through the Internet is a growing problem. We are witnessing a rise in online hate groups, inspiring the impressionable and vulnerable population towards extreme actions in the real world. In this paper, we study the spread ...

The Worldwide spread of the Omicron lineage variants has now been confirmed. It is crucial to understand the process of cellular life and to discover new drugs need to identify the important proteins in a protein interaction network (PPIN). PPINs ...

Social networks are becoming more indispensable in our lives, which leads researchers to seek to understand and analyze them. Social network analysis has become a specialty of sociology in network theory and graph theory as well. The principal ...

In social network analysis, centrality refers to the relevance of actors or nodes within a social network represented as a graph. Traditional centrality measures are based on topological aspects of the network or the information flow ...

• We propose a new centrality measure based on influence spread models.
• This ...

We propose the Temporal Walk Centrality, which quantifies the importance of a node by measuring its ability to obtain and distribute information in a temporal network. In contrast to the widely-used betweenness centrality, we assume that information ...

This paper applies power index analysis to the well-known Krackhardt’s kite social network by imposing a weighted voting game on the given network structure. It compares the results of this analysis, derived by applying the Public Good Index and ...

Threat models and attack graphs have been used more than 20 years by enterprises and organizations for mapping the actions of potential adversaries, analyzing the effects of vulnerabilities and visualizing attack scenarios. Although efficient when ...