iosr-JCE   Volume-24 ~ Issue-3 ~ May - Jun. 2022

Abstract: Background: Nowadays, traditional universities and colleges are currently confronting a number of issues, including increased student enrollment, limited physical infrastructure, admissions delays, rising educational costs, and so on. While different schools are addressing these challenges in different ways, Massive Open Online Courses (MOOCs), a relatively new technology, is increasingly being examined as a way to give higher education to a large number of individuals at potentially cheaper rates. MOOCs play a critical role in the development of skills and abilities......

Keywords—Massive Open Online Courses, Connectivism Theory, ICT Skills, University Students

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[2]. Gonzalez C. The Role of Blended Learning in the World of Technology. 2004; Retrieved 19-02-2022 from http://www.unt. edu/benchmarks /archives /eis.htm.
[3]. Richards J. Connectivism and Global Collaboration in Education. 2012; Retrieved 05-04-2022 from https://wordpress.com/connectivism-and-global-collaboration-in-education.
[4]. Chen Y. Investigating MOOCs through Blog Mining. International Review of Research in Open and Distance Learning. 2014; 15(2): 85–106.
[5]. Nina H, Allison L. MOOC Quality: The Need for New Measures. Journal of Learning for Development. 2016; 3(3): 28-42..

Abstract: Community detection in graphs identifies groups and is an essential component of graph theory. The clique percolation method (CPM) has been widely used in graph analysis, but there are computation issues when graphs are large. In this study, we use a Venture Capital dataset from 50 years and show the limitations of the k-clique algorithms. Alternatively, we conducted a complete subgraph search for community detection. The computation time and performance of our complete subgraph search are significantly better than the k-clique algorithm.

Keywords—network analysis, community detection, k-cliques

[1]. Alexy, O. T., Block , J. H., Sandner, P., and Ter Wal, A. L. J. 2012. "Social Capital of Venture Capitalists and Start-up Funding," Small Business Economics (39), pp. 835–851.
[2]. Baudin, A. 2021. "Clique Percolation Method: Memory Efficient Almost Exact Communities."
[3]. Hegde, D., and Tumlinson, J. 2014. "Does Social Proximity Enhance Business Partnerships? Theory and Evidence from Ethnicity's Role in U.S. Venture Capital," Management Science (60:9), pp. 2355-2380.
[4]. Mote, J. 2013. "Syndication, Networks and the Growth of Venture Capital in Philadelphia, 1980–99," Industry and Innovation (18:1), pp. 131–150.
[5]. Noyes, E., Brush, C., Hatten, K., and Smith-Doerr, L. 2014. "Firm Network Position and Corporate Venture Capital Investment," Journal of Small Business Management (52:4), pp. 713-731.

Abstract: Nowadays, no doubt that the social media has elevated influence on our life, thoughts, and decisions. Consequently, tourists share their feelings, opinions, and experiences about the services provided on their travels through such social networks. So, such social media sites are a huge and very influential source of information that affects all aspects, especially the aspect of tourism in terms of reputation, performance, and improving products and services provided by the concerned authority. Further, Sentiment Analysis (SA) is one of the most important tools that help in understanding and analyzing the polarity of textual data. On the other hands, the concern and development of tourism in Saudi Arabia is the key factor inspired......

Keywords—Sentiment Analysis, Machine Learning, Saudi Tourism, Twitter Saudi Tourism.

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