Exploring the hierarchical structure of graphs presents notable advantages for graph analysis, revealing insights ranging from individual vertex behavior to community distribution and overall graph stability. This paper studies hierarchical structures ...

Hierarchy conflict, a dispute among members over the rank order of influence in the team, often impairs team processes and outcomes. The current literature often operates from the assumption that self-interest must be high when team members engage in ...

Women experience chronically inferior returns in organizations. One common recommendation is to form instrumental network ties with high-status others in groups. We integrate research on social status, social perceptions, and gender issues in social ...

A string graph is an intersection graph of curves in the plane. A k-string graph is a graph with a string representation in which every pair of curves intersects in at most k points. We introduce the class of $(=k)$-string graphs as a further ...$\mathrm{}$$$$\mathrm{}$$\mathrm{}$$$$$$$$\mathrm{}$$\mathrm{}$$\mathrm{}\mathrm{}$$$

The scale and heterogeneity of exascale systems increment the complexity of programming applications exploiting them. Task-based approaches with support for nested tasks are a good-fitting model for them because of the flexibility lying in the ...

Perceptual aliasing is one of the most important problems in Robot-navigation as a robot cannot distinguish its state via its immediate observations leading to poor decision-making. Frames-of-References-based XCS learns policies comprising of ...

Federated learning (FL) is a burgeoning field that examines the cooperative interaction of machine learning (ML) models with users, enabling the training of a global model while each user retains its data locally. With differential privacy (DP), FL also ...

Despite the absence of a formal process and a central command-and-control structure, developer organization in open-source software (OSS) projects are far from being a purely random process. Prior work indicates that, over time, highly successful OSS ...

Gene expressions have been extensively studied in biomedical research. With gene expression, network analysis, which takes a system perspective and examines the interconnections among genes, has been established as highly important and meaningful. ...

The current research sheds new light on how and why status hierarchies impact interpersonal helping by examining people’s reactions to recently experienced status change. Specifically, we incorporate findings from research on the self-serving ...

In many workplaces, temporary teams convene to coordinate complex work, despite team members having not worked together before. Most related research has found consistent performance benefits when members of temporary teams work together multiple times (...

Hierarchies emerge as collectives attempt to organize themselves toward successful performance. Consequently, research has focused on how team hierarchies affect performance. We extend existing models of the hierarchy-performance relationship by adopting ...

Pop music generation has always been an attractive topic for both musicians and scientists for a long time. However, automatically composing pop music with a satisfactory structure is still a challenging issue. In this paper, we propose to leverage ...

The continuous progress of computing technologies increases the need for improved methods and tools for assessing the performance of information systems in terms of reliability, conformance, and quality of service. This paper presents an extension ...

This study explores heterogeneity in the efficacy of stretch goals for engaging employees in innovation, as stretch goals may both boost norm-breaking creativity and hamper fruitful ideation by overwhelming employees. Through a multilevel perspective, we ...

Are employees willing to voluntarily share knowledge with their higher-ups? The existing studies show that the answer is no—employees are less likely to share knowledge with their higher-ups in the offline setting, corporate wikis, and online discussion ...

An increasing number of companies have started to implement corporate knowledge-sharing communities. Consistent with the observation in the offline setting, employees are less likely to share knowledge with individuals who have higher job ranks (i.e., ...

Data summarization has wide applications in real world, e.g. attributes filter, image set labeling and personalized recommendation. In this work, we study a new problem HSD to summarize a dataset using k concepts in a hierarchical taxonomy. Different ...

Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in machine intelligence. The taxonomy expansion task aims to find a position for a new term in an existing taxonomy to capture the emerging knowledge in the world and keep ...

In this paper we examine the design of a conceptual dictionary of the modern Greek language with intelligent features, which will offer possibilities of semantic integration and interoperability in an automatic and secure way, connecting heterogeneous ...

Directed acyclic graph (DAG) is an essentially important model to represent terminologies and their hierarchical relationships, such as Disease Ontology. Due to massive terminologies and complex structures in a large DAG, it is challenging to summarize ...