Simplifying Weighted Heterogeneous Networks by Extracting h-Structure via s-Degree

AbstractIn this study, we developed a method to extract the core structure of weighted heterogeneous networks by transforming the heterogeneous networks into homogeneous networks. Using the standardized z-score, we define the s-degree by summing all the z-scores of adjacent edges into base-nodes for a weighted heterogeneous network. Then, we rank all the s-degrees in decreasing order to obtain the core structure via the h-index of a base-homogeneous-network. After reducing all adjacent edges between the attribute nodes and base-nodes to the core structure, we obtain the heterogeneous core structure of the weighted network, which is called the h-structure. We find that the h-structure in a heterogeneous network contains less than 1% nodes and edges, which results in the construction of a highly effective simplification of a weighted heterogeneous network. Two practical cases, the citation network and the co-purchase network, were examined in this study.

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Modelling of Time Efficiency in Heterogeneous and Adhoc Networks

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v12.i1.pp147-154 ◽

2018 ◽

Vol 12 (1) ◽

pp. 147

Author(s):

Yatendra Singh Bhandari ◽

Yashwant Singh Chauhan ◽

Priti Dimri

Keyword(s):

Heterogeneous Networks ◽

Heterogeneous Network ◽

Base Station ◽

Base Stations ◽

Achievable Rate ◽

Time Efficiency ◽

Homogeneous Network ◽

Data Flows ◽

Common Goals ◽

Capability Improvement

Heterogeneous Networks are bunch of homogeneous networks base stations grouped together. The term introduced in this research paper Time Efficiency (Te) gives out the information on the heterogeneous networks where most of the data flows in and out. In this paper, a model for evaluating Time Efficiency in heterogeneous network is developed. The common goals of different base stations in a heterogeneous network are towards coverage of area and capability improvement. Base stations in a homogeneous network differs in transmitted power, achievable rate of data, area covered, density of a base station, energy efficiency and time efficiency. To find out the area of most data flow in certain period, Time efficiency can be used as a major factor.

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Design and Implementation of a VoIP Broadcasting Service over Embedded Systems in a Heterogeneous Network Environment

The Scientific World JOURNAL ◽

10.1155/2014/917060 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10

Author(s):

Jenq-Shiou Leu ◽

Wei-Hsiang Lin ◽

Wen-Bin Hsieh ◽

Chien-Chih Lo

Keyword(s):

Heterogeneous Networks ◽

Heterogeneous Network ◽

Communication Model ◽

Network Environment ◽

Embedded Devices ◽

Homogeneous Network ◽

Ip Network ◽

Video And Audio ◽

Comprehensive Evaluations ◽

Broadcasting Service

As the digitization is integrated into daily life, media including video and audio are heavily transferred over the Internet nowadays. Voice-over-Internet Protocol (VoIP), the most popular and mature technology, becomes the focus attracting many researches and investments. However, most of the existing studies focused on a one-to-one communication model in a homogeneous network, instead of one-to-many broadcasting model among diverse embedded devices in a heterogeneous network. In this paper, we present the implementation of a VoIP broadcasting service on the open source—Linphone—in a heterogeneous network environment, including WiFi, 3G, and LAN networks. The proposed system featuring VoIP broadcasting over heterogeneous networks can be integrated with heterogeneous agile devices, such as embedded devices or mobile phones. VoIP broadcasting over heterogeneous networks can be integrated into modern smartphones or other embedded devices; thus when users run in a traditional AM/FM signal unreachable area, they still can receive the broadcast voice through the IP network. Also, comprehensive evaluations are conducted to verify the effectiveness of the proposed implementation.

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Indexicality of Grammar: The Case of Japanese Transgender Speakers

The Oxford Handbook of Language and Sexuality ◽

10.1093/oxfordhb/9780190212926.013.16 ◽

2019 ◽

Author(s):

Hideko Abe

Keyword(s):

Gender Identity ◽

Gender Identity Disorder ◽

Grammatical Gender ◽

Core Structure ◽

Subject Positions ◽

Transgender Identity ◽

The Core ◽

History Of ◽

History Of Scholarship ◽

Grammatical Structures

This article discusses how the intersection of grammatical gender and social gender, entwined in the core structure of language, can be analyzed to understand the dynamic status of selfhood. After reviewing a history of scholarship that demonstrates this claim, the discussion analyzes the language practices of transgender individuals in Japan, where transgender identity is currently understood in terms of sei-dōitsusei-shōgai (gender identity disorder). Based on fieldwork conducted between 2011 and 2017, the analysis reveals how individuals identifying with sei-dōitsusei-shōgai negotiate subject positions by manipulating the specific indexical meanings attached to grammatical structures.

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Solvent-free and efficient synthesis of bicyclic 2-pyridone derivatives for endoplasmic reticulum imaging

Organic Chemistry Frontiers ◽

10.1039/d1qo00350j ◽

2021 ◽

Author(s):

Xiaoyun Ran ◽

Qian Zhou ◽

Jin Zhang ◽

Shanqiang Wang ◽

Gui Wang ◽

...

Keyword(s):

Endoplasmic Reticulum ◽

Citric Acid ◽

Core Structure ◽

Solvent Free ◽

Efficient Synthesis ◽

The Core ◽

Catalyst Free ◽

Synthesis Approach ◽

Ethylenediamine Derivatives

Started from citric acid (CA) and ethylenediamine derivatives, a solvent-free, catalyst-free and highly yield synthesis approach for bicyclic 2-pyridones was presented. Continuing to modify the core structure, a series of...

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MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

Scientific Reports ◽

10.1038/s41598-021-87987-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Léo Pio-Lopez ◽

Alberto Valdeolivas ◽

Laurent Tichit ◽

Élisabeth Remy ◽

Anaïs Baudot

Keyword(s):

Heterogeneous Networks ◽

Heterogeneous Network ◽

Link Prediction ◽

Network Embedding ◽

Multiplex Networks ◽

Multiplex Network ◽

Gene Associations ◽

Different Types ◽

Embedding Methods ◽

Node Embeddings

AbstractNetwork embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their effectiveness in tasks such as community detection, node classification, and link prediction. However, very few network embedding methods have been specifically designed to handle multiplex networks, i.e. networks composed of different layers sharing the same set of nodes but having different types of edges. Moreover, to our knowledge, existing approaches cannot embed multiple nodes from multiplex-heterogeneous networks, i.e. networks composed of several multiplex networks containing both different types of nodes and edges. In this study, we propose MultiVERSE, an extension of the VERSE framework using Random Walks with Restart on Multiplex (RWR-M) and Multiplex-Heterogeneous (RWR-MH) networks. MultiVERSE is a fast and scalable method to learn node embeddings from multiplex and multiplex-heterogeneous networks. We evaluate MultiVERSE on several biological and social networks and demonstrate its performance. MultiVERSE indeed outperforms most of the other methods in the tasks of link prediction and network reconstruction for multiplex network embedding, and is also efficient in link prediction for multiplex-heterogeneous network embedding. Finally, we apply MultiVERSE to study rare disease-gene associations using link prediction and clustering. MultiVERSE is freely available on github at https://github.com/Lpiol/MultiVERSE.

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