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                <text>Hasan, Hussein L.</text>
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                <text>Albermany, Salah A.</text>
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                <text>When there are multiple alternate shortest paths between any two nodes in a complex network, there is a need to know details about the content of the paths and the dominance of the nodes within it, this need comes to maximize, control and speed of the information diffusion. This paper discusses the creation of a new special measure as a local scale for any X node in the network. This measure will give each neighbour of the node X a domination value to access the rest of the network, in other words any nodes included in the shortest path (X,Y) will be given a control value, taking into account the existence of more than one shortest path between (X,Y). Such a measure is called a DNISP, which stands for Dominant Nodes Index in Shortest Paths. The X-node needs to examine all shortest paths that connect it with any other nodes across the ones that are directly associated with it. This measure provides an insight into how information flows between nodes according to dominant values with each node.</text>
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                <text>Copyright (c) 2020 Hussein L. Hasan, SALAH A. ALBERMANY</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 97-108</text>
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                <text>1865-7923</text>
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                <text>Communication</text>
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                <text>Shortest Paths</text>
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                <text>The Dominant Nodes Index in Shortest Paths (DNISP) as A Local Measure of Source Looking for the Target in Complex Networks</text>
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                <text>Indiana University Robert H. McKinney School of Law</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 30 No. 3 (2020); 351-364</text>
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                <text>Keynote Address: Constitutional Amendment in Constitutional Democracies: Transformation, Eternity, Illusion</text>
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                <text>Albulayhi, Mohammed S.</text>
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                <text>In many aspects of healthy, science, educational, functional, and social life, social media networks today are part of the human lifestyle. Social media has more impact on human life and introduced significant changes in the way people’s way of communication. People exchange a lot of information across social media networks, starting with the sharing of information with the growth of information sharing at the moment, and the advancement of technology Users create overt networks to reflect their current or new social connections. Users also upload and post a plethora of personal details. Maintaining the privacy and security of the user is a main challenge in social media. Users should feel the importance of preserving the privacy of their data and how valuable information such as banking details and confidential data should be kept away from social media. Users can also post personal information about others without their permission. The problem is exacerbated by users' lack of familiarity and knowledge, as well as the lack of appropriate resources and architecture of social media networks. This paper provides study on many privacy and security challenges encountered by social media networks and the privacy threats they pose, as well as current studies into possible solutions.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27761</text>
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                <text>Copyright (c) 2021 Mohammed S. Albulayhi, Salim El Khediri</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 4-21</text>
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                <text>1865-7923</text>
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                <text>Social Media Networks</text>
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                <text>Privacy</text>
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                <text>A Comprehensive Study on Privacy and Security on Social Media</text>
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                <text>Aldalalah, Osamah Mohammad</text>
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                <text>AbstractـــThe study aimed at detecting the level of (nomophobia) among students in Jordan and its impact on psycho-loneliness. The findings showed that the level of nomophobia through smart phone applications among secondary school students was high. Further, the findings showed statistically significant differences between the averages of the students' estimates on the scale of nomophobia due to the gender variable for females; differences that can be ascribed to specialization in favor of scientific specialization and variable related to the impact of the school in favor of the students of public schools. Moreover, the findings showed a positive relationship between the averages of nomophobia and psycho-loneliness among students.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/12797</text>
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                <text>Copyright (c) 2020 Osamah Mohammad Aldalalah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 70-86</text>
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                <text>1865-7923</text>
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                <text>The purpose of this study was to investigate effectiveness of the different pattern of the digital story in the development linguistic intelligence skills and Mindfulness in Jordanian primary students during the Corona pandemic. Quasi experimental factorial design was adopted in this research. The researcher designed two patterns of the digital story in the Arabic language course. The study sample consisted of 43 students and were randomly (simple random sample) selected. The study sample was divided into two groups. The first group consisted of 23 students who studied through a written digital story, as for the second group, it consisted of 20 students who studied through the digital audiovisual story. The dependent variables were the linguistic intelligence skills and Mindfulness. The researcher used two scales. The first is to measure linguistic intelligence skills, and the second is to measure mindfulness. Data were collected and appropriate statistical analysis performed.  ANCOVA was used to determine the significant differences among the two groups.  Analyses of covariance (ANCOVA) were performed to examine the main effects of the independent variables on the dependent variables.  The findings of this study showed that students using the digital audiovisual story mode performed significantly better than those students using the written digital story in the linguistic intelligence skills, and mindfulness.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 19 (2021); pp. 4-20</text>
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                <text>This paper discusses location-based service for telecom providers. Most of the location-based services in the mobile networks are introduced and deployed by Internet companies. It leaves for telecom just the role of the data channel. Telecom providers should use their competitive advantages and offer own solutions. In our article, we discuss the sharing location information via geo messages. Geo messages let mobile users share location information as signatures to the standard messages (e.g., email, SMS).  Rather than let some service constantly monitor (poll) the user’s location (as the most standalone services do) or share location info within any social circle (social network check-in, etc.) The Geo Messages approach lets users share location data on the peer to peer basis. Users can share own location info with any existing messaging systems. And messaging (e.g., SMS) is the traditional service for telecom.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 2 (2016); pp. 19-24</text>
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                <text>Over the last few years, particularly during the COVID-19 pandemic, the stage of education has clearly shifted from face-to-face instruction to e-learning. Human-Computer Interaction (HCI) paved the way for developing alternative and advanced methods for implementing the concept of e-learning by identifying what aids educational applications and platforms in visualizing content and thus providing students and their education with easy access in their homes during quarantine and providing them with easy access to educational materials throughout time. Students' impressions of the impact of the human-computer interaction process on the quality of e-learning at Tafila Technical University are discussed in this study. Within one year and four months of the COVID-19 quarantine, students got sufficient experience to apply e-learning. Students responded to a questionnaire that contained closed-ended questions. The responses were analyzed to ascertain the influence of the continual human-computer interaction process. The study's primary objective was to determine the beneficial effect of this contact on the quality of e-learning. Despite their academic and academic performance being greatly impacted by the COVID-19 epidemic, students' positive attitudes toward e-learning have been extremely enthusiastic.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 04 (2022); pp. 58-69</text>
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                <text>1865-7923</text>
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                <text>The Impact of Human and Computer Interaction on eLearning Quality</text>
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                <text>At present, sentiment analysis has become a trend; above all, in digital product development companies, as it is essential for rapid and automatic analysis. Sentiment analysis deals with emotions with the help of software, and it is playing an unavoidable role in workplaces. The constant growth of social networks, especially the Twitter social network, has made the ability to understand and comprehend users or clients take a greater scope regarding their needs; and therefore, increase the complexity of analysis of this social network, causing excessive expenses in time, personnel and money. This work presents a solution through the application of Machine Learning (ML) for sentiment analysis and thus improve analysis, execution time and customer satisfaction. The scope of this research is limited to using the Support Vector Machine (SVM) supervised learning technique for the intended analysis. The model derives from the ML technique making use of cross validation. The applied methodology is the CRISP-ML(Q) Methodology. The results show that the use of ML allows efficient sentiment analysis in Twitter communications.</text>
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                <text>Copyright (c) 2022 Javier Gamboa-Cruzado, Alegre-Veliz, Pedro Gaspar-Ortiz, Liset Rodriguez Baca, Waldy Grandez Pizarro, Rosa Menéndez Mueras, Carlos Chávez Herrera</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 126-142</text>
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                <text>Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú</text>
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                  <text>Lodz University Press        </text>
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                <text>Territorial Manifestations in Times of Globalization: Implications for State-Centrism in International Relations</text>
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                <text>One important field where mobile technology can make significant contributions is education. However one criticism in mobile education is that students receive impersonal teaching. Affective computing may give a solution to this problem. In this paper we describe an affective bi-modal educational system for mobile devices. In our research we describe a novel approach of combining information from two modalities namely the keyboard and the microphone through a multi-criteria decision making theory.</text>
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