A distributed hypergraph model for simulating the evolution of large coauthorship networks

In this paper, a satellite-aerial integrated computing (SAIC) architecture in disasters is proposed, where the computation tasks from two-tier users, i.e., ground/aerial user equipments, are either locally executed at the high-altitude platforms (HAPs), or offloaded to and computed by the Low Earth Orbit (LEO) satellite. With the SAIC architecture, we study the problem of joint two-tier user association and offloading decision aiming at the maximization of the sum rate. The problem is formulated as a 0-1 integer linear programming problem which is NP-complete. A weighted 3-uniform hypergraph model is obtained to solve this problem by capturing the 3D mapping relation for two-tier users, HAPs, and the LEO satellite. Then, a 3D hypergraph matching algorithm using the local search is developed to find a maximum-weight subset of vertex-disjoint hyperedges. Simulation results show that the proposed algorithm has improved the sum rate when compared with the conventional greedy algorithm.

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Community Detection in Scale-Free Networks Based on Hypergraph Model

Intelligence and Security Informatics - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71549-8_20 ◽

2007 ◽

pp. 226-231 ◽

Cited By ~ 5

Author(s):

Rong Qian ◽

Wei Zhang ◽

Bingru Yang

Keyword(s):

Community Detection ◽

Scale Free ◽

Hypergraph Model ◽

Scale Free Networks

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Gender inequities in the online dissemination of scholars’ work

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.2102945118 ◽

2021 ◽

Vol 118 (39) ◽

pp. e2102945118

Author(s):

Orsolya Vásárhelyi ◽

Igor Zakhlebin ◽

Staša Milojević ◽

Emőke-Ágnes Horvát

Keyword(s):

Gender Gap ◽

Large Scale ◽

Gender Disparities ◽

Female Representation ◽

Scientific Impact ◽

The Public ◽

Research Areas ◽

Coauthorship Networks ◽

The Impact ◽

The Relationship

Unbiased science dissemination has the potential to alleviate some of the known gender disparities in academia by exposing female scholars’ work to other scientists and the public. And yet, we lack comprehensive understanding of the relationship between gender and science dissemination online. Our large-scale analyses, encompassing half a million scholars, revealed that female scholars’ work is mentioned less frequently than male scholars’ work in all research areas. When exploring the characteristics associated with online success, we found that the impact of prior work, social capital, and gendered tie formation in coauthorship networks are linked with online success for men, but not for women—even in the areas with the highest female representation. These results suggest that while men’s scientific impact and collaboration networks are associated with higher visibility online, there are no universally identifiable facets associated with success for women. Our comprehensive empirical evidence indicates that the gender gap in online science dissemination is coupled with a lack of understanding the characteristics that are linked with female scholars’ success, which might hinder efforts to close the gender gap in visibility.

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Building and Analyzing of Enterprise Network

Decision Management ◽

10.4018/978-1-5225-1837-2.ch067 ◽

2017 ◽

pp. 1453-1477

Author(s):

Liqiang Wang ◽

Shijun Liu ◽

Li Pan ◽

Lei Wu ◽

Xiangxu Meng

Keyword(s):

Customer Value ◽

Small World ◽

Linear Process ◽

Social Business ◽

Data Set ◽

Enterprise Network ◽

Ego Networks ◽

Hypergraph Model ◽

Distribution Features

Social business moves beyond linear, process-driven organizations to create new, dynamic, networked businesses that focus on customer value. Enterprise network (EN) is used to support social business by maximizing current and future opportunities and facilitate network-enabled processes, which can lead to value co-creation. EN is a multi-level hypergraph model with enterprises, employees, products and other related entities. In this paper the authors refine the EN model and present the foundation of EN to support social businesses. Then they introduce a case study on China automobile supply network (CASN). For the similarity with social networks, they verify power-law and small world theories in EN with statistical results on this data set. These theories are fitful in EN, but some new characteristics exist. The structure of EN consists of star-shaped clusters and the authors extract ego networks taking suppliers and manufacturers as the ego respectively. With the structure and distribution features of EN, they present the enterprise business similarity analysis method based on common-neighbors. And they also introduce the tentative work to detect Dunbar circles in EN. To analyze the data in a more intuitional and effective way, the authors use some data visualization tools to process the data in EN.

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An Analysis of the Structure and Evolution of the Distance Education Research Area Community in Terms of Coauthorships

International Journal of Distance Education Technologies ◽

10.4018/ijdet.2018040105 ◽

2018 ◽

Vol 16 (2) ◽

pp. 65-79 ◽

Cited By ~ 2

Author(s):

Rodrigo Richard Gomes ◽

Marcelo Werneck Barbosa

Keyword(s):

Distance Education ◽

Education Research ◽

Special Kind ◽

Research Area ◽

Research Community ◽

Topological Properties ◽

Coauthorship Networks ◽

Centrality Metrics ◽

Number Of Publications ◽

Near Future

This article aims at characterizing the research community of Distance Education (DE) with respect to coauthorship, a special kind of collaboration among researchers, according to publications of 11 relevant DE journals. This article identified who the central researchers are, the topological properties of the coauthorship networks analyzed, the coauthorship patterns of each journal and the evolution of the DE community in the last 30 years. In order to achieve these goals, Social Network Analysis (SNA) was used, deriving centrality metrics, which depict the importance of researchers in the networks. This study found out that researchers who publish more papers are not necessarily the ones considered more central according to SNA. Besides, promising researchers, those linked to central researchers and are considered more likely to coauthor papers in the near future. Different coauthorship patterns among journals are described. Finally, a steep increase in the number of publications and coauthorships in the last decades was observed.

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