Keywords : Complex Networks


Analyzing Crime Networks: A Complex Network-Based Approach

Husam B. Sultan; Basim Mohammed Mahmood

AL-Rafidain Journal of Computer Sciences and Mathematics, 2021, Volume 15, Issue 1, Pages 57-73
DOI: 10.33899/csmj.2021.168261

This article analyzed the crime network of Nineveh province based on the concepts of Complex Networks. To this end, two networks were created; the first represented the crimes that were committed in Nineveh province, while the second was the network of crime regions. These two networks were visualized and then analyzed using network centrality measurements. The results showed that several pairs of crimes had strong relations to each other. Moreover, it was found that some crime regions were considered as the core of crimes in the province. The results also showed that few regions were considered as the most dangerous parts of the province and they had strong tendencies to replicate their behaviour to other regions. Finally, the authors believe this is the first kind of works that take the crime network of Nineveh province as a case study

The Impact of Mobility Models on the Consumption of Network Resources in the Internet of Things (IoT)

Rasha J. Al-Jarah; Basim Mohammed Mahmood

AL-Rafidain Journal of Computer Sciences and Mathematics, 2020, Volume 14, Issue 2, Pages 51-69
DOI: 10.33899/csmj.2020.167346

Nowadays, the field of Internet of Things (IoT) has become a new trend and one of the most attractive areas of research. It has a wide range of applications; starting from smart devices to developing smart cities. The main issue in this kind of applications is the limitation in network resources (e.g., energy, memory, connectivity, etc.). Most of the works in the literature deal with this issue in a traditional way. For instance, developing routing protocols that find the optimal path for data forwarding. This paper looks to this issue from a different angle. In this work, we aim at testing different mobility patterns and then investigate their impact of the consumption of network resources under particular distributions and data routing protocols. The aspect we aim to investigate and measure is the amount of data exchanged, which in turn affects the power and the memory consumption of a network. We also measure two more aspects; performance stability, and data coverage area. The results show that mobility models play a significant role in the overall network performance.
 

Collaboration Networks: University of Mosul Case Study

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

AL-Rafidain Journal of Computer Sciences and Mathematics, 2020, Volume 14, Issue 1, Pages 117-133
DOI: 10.33899/csmj.2020.164679

Scientific research is currently considered as one of the key factors in the development of our life. It plays a significant role in managing our business, study, and work in a more flexible and convenient way. The most important aspect when it comes to scientific research is the level of collaboration among scientific researchers. This level should be maximized as much as possible in order to obtain more reliable solutions for our everyday issues. To this end, it is needed to understand the collaboration patterns among researchers and come up with convenient strategies for strengthening the scientific collaboration. The scientific collaboration among the University of Mosul researchers–which is our case in this study–has not yet been investigated or analyzed. In this work, we aim at revealing the patterns of the scientific collaboration of the scientific colleges in the University of Mosul. We generate a co-authorship network for the university; the generated network is based on the data we collected from each individual researcher. The generated co-authorship network reveals many interesting facts regarding the collaboration patterns among the university researchers.