Use of cloud computing in Hajj crowed management and complex systems

Malik, Hafiz Abid Mahmood; Abid, Faiza; Gilal, Abdul Rehman; Raja, Abdul Sattar

doi:10.1109/icetas.2017.8277851

Cited by 8 publications

(9 citation statements)

References 7 publications

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“…Also, Golas et al suggested applying a continuum model that replicates crowd turbulence [266]. Other researchers tried to approach the crowd management issue by comparing it to complex network management [267]. By doing so, the crowd data could be analyzed using degree centrality, closeness centrality and betweenness centrality.…”

Section: G Crowd Managementmentioning

confidence: 99%

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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Hajj and Umrah are Muslims' religious pilgrimages to Makkah, Saudi Arabia. Hajj is considered the largest annual gathering in the world. In Islam, each and every able-bodied adult is obligated to go for Hajj at least once in his/her lifetime. Hajj takes place between the 8 th and the 13 th day of Dhul Hijjah, which is the last month of the Islamic year while Umrah, the minor pilgrimage, could be done any time of the year. In Hajj, pilgrims, also known as Hajjis, travel around 15 km and pilgrims have the choice to do it by foot, bus or by train. The Hajj journey starts from Mina, which is considered the largest tent city in the world because it hosts more than 10,000 fire resistant tents, and includes various religious rituals. Around 3 million Muslims from more than 183 countries make Hajj every year and the Kingdom of Saudi Arabia is working on increasing this number. Since 1989, researchers in various ICT domains have tried leveraging their expertise in solving challenges and issues related to Hajj and Umrah. Although several papers have surveyed efforts using technology in Hajj and Umrah research, none of them was comprehensive. In this paper, I classified research efforts that used information and communication technologies for solving Hajj and Umrah challenges over the past 33 years based on their applications in 10 categories. I also identified more than 30 technologies used by researchers all over the world to address Hajj and Umrah issues and group research efforts based on these technologies for ease of access. Furthermore, open challenges were discussed and new technologies that could be used to address these challenges were proposed.

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Section: G Crowd Managementmentioning

confidence: 99%

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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“…They draw the attention of large companies, corporations, and organizations to invest resources in research and analysis of such networks. There are a lot of examples of complex networks, such as networks of airports, scientific collaboration networks, the network of diseases, social media networks, crowd networks, and communication networks [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] The different social media networks have millions of users, and a high growth rate tends to provide improved services to their users. These include discussion forums, business and interest-related groups, games, music, videos.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Social Media Complex System using Community Detection Algorithms

Malik¹

2022

IJCDS

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The increasing significance of social networks has led to information propagation and community formation being an interesting domain in data science. The data gathered from big social networks exhibit different community structures. These communities attract various users who grow complex networks. The main goal is to identify the impacting nodes responsible for community data flow. The Twitter network edges are considered in the study, which plays a vital role in representing the activities and relationships developed among the community members. Different communities evolve when the network is analyzed using different community detection algorithms. The network statistics are used for analysis by calculating the weighted degree distribution of nodes in this study. The network is analyzed according to persistent clusters using community detection algorithms like the Spinglass, Walktrap, Fastgreedy, Leading Eigenvector, Multilevel, Edge Betweenness, and Label Propagation. It is found that these measures are very useful in community detection and observing the spread of information in social networks.

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“…As the complex network approach continued to grow, numerous methods and centrality metrics have been proposed to calculate the spreading ability of users in a network [16][17][18]. People have worked and contributed greatly towards the network science field.…”

Section: Introductionmentioning

confidence: 99%

Complex Network Formation and Analysis of Online Social Media Systems

Malik¹

2022

Computer Modeling in Engineering &Amp; Sciences

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To discover and identify the influential nodes in any complex network has been an important issue. It is a significant factor in order to control over the network. Through control on a network, any information can be spread and stopped in a short span of time. Both targets can be achieved, since network of information can be extended and as well destroyed. So, information spread and community formation have become one of the most crucial issues in the world of SNA (Social Network Analysis). In this work, the complex network of twitter social network has been formalized and results are analyzed. For this purpose, different network metrics have been utilized. Visualization of the network is provided in its original form and then filter out (different percentages) from the network to eliminate the less impacting nodes and edges for better analysis. This network is analyzed according to different centrality measures, like edge-betweenness, betweenness centrality, closeness centrality and eigenvector centrality. Influential nodes are detected and their impact is observed on the network. The communities are analyzed in terms of network coverage considering the Minimum Spanning Tree, shortest path distribution and network diameter. It is found that these are the very effective ways to find influential and central nodes from such big social networks like Facebook, Instagram, Twitter, LinkedIn, etc.

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Use of cloud computing in Hajj crowed management and complex systems

Cited by 8 publications

References 7 publications

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Analysis of Social Media Complex System using Community Detection Algorithms

Complex Network Formation and Analysis of Online Social Media Systems

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