Collaboration Networks: University of Mosul Case Study

Mahmood, Basim; Sultan, Nagham A.; Thanoon, Karam H.; Khadhim, Dhiya Sh.

doi:10.33899/csmj.2020.164679

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The former enables researchers to understand the general structure of the network in terms of the relations among the genes of chromosomes X and Y as well as across chromosomes. In the latter, network measurements are involved [31]. The Shortest Path Length σ (i, j) measures the minimum number of edges that can connect two genes (the shortest path between them).…”

Section: B Analysis Approach and Toolsmentioning

confidence: 99%

Scrutinizing the Homo Sapiens Gene-Gene Interactions in Sex Chromosomes: A Network Model

Mahmood,

Dabdawb,

Hammadi

2023

IJCDS

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The sex chromosomes X and Y participate in determining the sex of humans. These chromosomes contain many genes that contribute to a variety of body functions. Homo sapiens (human) genes have been widely studied in the literature. Most of the studies have been conducted on the interactions among genes and their relations to diseases. Therefore, the genes of a chromosome or across chromosomes may have relations to each other. Understanding these relations is important insofar as they contribute to a wider view of diseases. This work tries to scrutinize the homo sapiens gene-gene interactions in the sex chromosomes. More precisely, we generate a network model of the interactions between the genes in the sex chromosomes and the genes of other chromosomes. The nodes of the generated network represent the genes in chromosomes X and Y. An edge between two genes is generated if there exists an interaction between both. The generated model demonstrates interesting facts about the relations among genes. Finally, it can be of interest for biologists to look at such models for a more understanding of the interactions among genes and their relations to diseases.

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Section: B Analysis Approach and Toolsmentioning

confidence: 99%

Scrutinizing the Homo Sapiens Gene-Gene Interactions in Sex Chromosomes: A Network Model

Mahmood,

Dabdawb,

Hammadi

2023

IJCDS

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“…It states that when two authors have participated in co-authoring an article, a link is established between them. This strategy was also followed in [8], [10], [11], [15]. CAN network consisted of 3444 authors and the number of edges was 4240 that connecting the authors.…”

Section: Co-authorship Networkmentioning

confidence: 99%

Measuring scientific collaboration in co-authorship networks

Mahmood

Sultan

Thanoon

et al. 2021

IJ-AI

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<span lang="EN-US">Scientific research is currently considered one of the key factors in the development of our life. It plays a significant role in managing our business, study, and work more conveniently. One of the important aspects when it comes to scientific research is the level of collaboration among researchers/disciplines. The collaboration between two different disciplines contributes to obtaining more reliable solutions for our everyday issues. Therefore, it is needed to understand the collaboration patterns among researchers and come up with convenient strategies for strengthening this kind of collaboration. In this work, we aim at investigating the patterns of scientific collaboration among researchers across disciplines. To this end, we generate a co-authorship network for several disciplines. The generated network reveals many interesting facts regarding the collaboration patterns among researchers who work in the same/different disciplines. We involve several measurements in this study that evaluate different aspects, which is of interest to the research communities since most of the studies in the literature measure specific aspects. Moreover, we propose a novel metric for measuring scientific collaboration in a research community and use it to benchmark the collaboration among disciplines. Finally, we use the obtained results/facts in providing recommendations for scientific communities.</span>

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“…The betweenness centrality measurement is the number of times that a node appears in the shortest path of the other pairs in the network. In other words, it reflects how influential a node is or how well-positioned a node is within a network [14]. The betweenness centrality was calculated for all the intersections in the network.…”

Section: Betweenness Centrality Measurementmentioning

confidence: 99%

A Network-Based Model for Mitigating Traffic Jams in Road Networks

Hasan¹

2021

Technium

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Abstract. In recent years, the city of Mosul, which is the capital city of Nineveh province in the North of Iraq, had witnessed an unstable situation (e.g., wars, internal conflicts) that led to destructing most of the infrastructure including city roads. In addition, the population of Mosul is currently concentrated on the east coast of the city. Therefore, this situation has caused a server traffic jam and the roads have become overloaded, which is time-wasting when accessing a particular place in the city. In this analytical study, the roads of the east coast of Mosul city are modeled in the form of a Road Network. The proposed approach is based on concepts inspired from Complex Networks and their measurements such as clustering coefficient, betweenness, degree, and closeness. The dataset of this work was collected from Google Earth with the support of governmental offices and road-experienced individuals. The created network represents the road network of Mosul city. In the results, suggestions and recommendations are provided, which can contribute to alleviating the problem of traffic congestion in the city of Mosul. The provided suggestions do not need a high cost because the proposed approach benefits the current road networks with few modifications. The proposed approach is applicable to any city of interest.

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Collaboration Networks: University of Mosul Case Study

Cited by 6 publications

References 5 publications

Scrutinizing the Homo Sapiens Gene-Gene Interactions in Sex Chromosomes: A Network Model

Scrutinizing the Homo Sapiens Gene-Gene Interactions in Sex Chromosomes: A Network Model

Measuring scientific collaboration in co-authorship networks

A Network-Based Model for Mitigating Traffic Jams in Road Networks

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