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Journal articles on the topic 'Online social networks – Namibia'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Kaisara, Godwin, and Kelvin Joseph Bwalya. "Investigating the E-Learning Challenges Faced by Students during Covid-19 in Namibia." International Journal of Higher Education 10, no. 1 (2020): 308. http://dx.doi.org/10.5430/ijhe.v10n1p308.

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Over the past two decades, e-learning has become an increasingly important field of study that has attracted scholarly and policy makers’ attention. Many developing nations have embraced e-learning as a tool to enhance accessilibility and affordability of higher education. During the COVID-19 lockdown period, many universities across the world were forced to embrace online teachning and learning to circumvent lockdowns, social distancing and other public health interventions put in place to contain the spread of the novel coronavirus. Consequently, this study sought to establish students’ expe

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2

Melton, James, Robert Miller, and Michelle Salmona. "Online Social Networks." International Journal of Information Systems and Social Change 3, no. 2 (2012): 24–38. http://dx.doi.org/10.4018/ijissc.2012040102.

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Previous research has shown that many college students in the United States post content to social networking sites that they know would be considered inappropriate by employers and other authority figures. However, the phenomenon has not been extensively studied in cross-cultural context. To address this knowledge gap, a survey of college students in Australia, Denmark, the United Kingdom, and the United States was conducted. The study found a universal tendency among the four groups: students knew the content they were posting would be considered inappropriate by employers and other authorit

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3

Cardon, Peter W. "Online Social Networks." Business Communication Quarterly 72, no. 1 (2008): 96–97. http://dx.doi.org/10.1177/1080569908330376.

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4

Faloutsos, Michalis, Thomas Karagiannis, and Sue Moon. "Online social networks." IEEE Network 24, no. 5 (2010): 4–5. http://dx.doi.org/10.1109/mnet.2010.5578911.

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5

Fu, Xiaoming, Andrea Passarella, Daniele Quercia, Alessandra Sala, and Thorsten Strufe. "Online Social Networks." Computer Communications 73 (January 2016): 163–66. http://dx.doi.org/10.1016/j.comcom.2015.11.005.

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6

Howard, Bill. "Analyzing online social networks." Communications of the ACM 51, no. 11 (2008): 14–16. http://dx.doi.org/10.1145/1400214.1400220.

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7

Garton, Laura, Caroline Haythornthwaite, and Barry Wellman. "Studying Online Social Networks." Journal of Computer-Mediated Communication 3, no. 1 (2006): 0. http://dx.doi.org/10.1111/j.1083-6101.1997.tb00062.x.

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8

Papagelis, Manos, Gautam Das, and Nick Koudas. "Sampling Online Social Networks." IEEE Transactions on Knowledge and Data Engineering 25, no. 3 (2013): 662–76. http://dx.doi.org/10.1109/tkde.2011.254.

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9

Gabielkov, Maksym, Ashwin Rao, and Arnaud Legout. "Sampling online social networks." ACM SIGCOMM Computer Communication Review 44, no. 4 (2015): 127–28. http://dx.doi.org/10.1145/2740070.2631452.

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10

Mehta, Neil, and Ashish Atreja. "Online social support networks." International Review of Psychiatry 27, no. 2 (2015): 118–23. http://dx.doi.org/10.3109/09540261.2015.1015504.

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11

Angiani, Giulio, Paolo Fornacciari, Eleonora Iotti, Monica Mordonini, and Michele Tomaiuolo. "Participation in Online Social Networks." International Journal of Interactive Communication Systems and Technologies 8, no. 2 (2018): 36–55. http://dx.doi.org/10.4018/ijicst.2018070103.

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Why and how more and more people get involved and use social networking systems are critical topics in social network analysis (SNA). As a matter of fact, social networking systems bring online a growing number of acquaintances, for many different purposes. Both business interests and personal recreational goals are motivations for using online social networks (OSN) or other social networking systems. The participation in social networks is a phenomenon which has been studied with several theories, and SNA is useful for common business problems, e.g., launching distributed teams, retaining peo

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12

Conti, Marco, and Andrea Passarella. "Online Social Networks and Media." Online Social Networks and Media 1 (June 2017): iii—vi. http://dx.doi.org/10.1016/s2468-6964(17)30045-9.

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13

Li, Le, Ke Gu, An Zeng, Ying Fan, and Zengru Di. "Modeling online social signed networks." Physica A: Statistical Mechanics and its Applications 495 (April 2018): 345–52. http://dx.doi.org/10.1016/j.physa.2017.12.089.

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14

Summerskill, Benjamin. "Online social networks and wellbeing." Lancet 374, no. 9689 (2009): 514. http://dx.doi.org/10.1016/s0140-6736(09)61472-0.

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15

Zhang, Huiling, Md Abdul Alim, Xiang Li, My T. Thai, and Hien T. Nguyen. "Misinformation in Online Social Networks." ACM Transactions on Information Systems 34, no. 3 (2016): 1–24. http://dx.doi.org/10.1145/2885494.

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16

Willinger, Walter, Reza Rejaie, Mojtaba Torkjazi, Masoud Valafar, and Mauro Maggioni. "Research on online social networks." ACM SIGMETRICS Performance Evaluation Review 37, no. 3 (2010): 49–54. http://dx.doi.org/10.1145/1710115.1710125.

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17

Rejaie, Reza, Mojtaba Torkjazi, Masoud Valafar, and Walter Willinger. "Sizing up online social networks." IEEE Network 24, no. 5 (2010): 32–37. http://dx.doi.org/10.1109/mnet.2010.5578916.

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18

Korzynski, Pawel. "Online social networks and leadership." International Journal of Manpower 34, no. 8 (2013): 975–94. http://dx.doi.org/10.1108/ijm-07-2013-0173.

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19

Greenhow, Christine. "Online social networks and learning." On the Horizon 19, no. 1 (2011): 4–12. http://dx.doi.org/10.1108/10748121111107663.

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20

Bonato, Anthony, Noor Hadi, Paul Horn, Paweł Prałat, and Changping Wang. "Models of Online Social Networks." Internet Mathematics 6, no. 3 (2009): 285–313. http://dx.doi.org/10.1080/15427951.2009.10390642.

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21

Mayer, Adalbert. "Online social networks in economics." Decision Support Systems 47, no. 3 (2009): 169–84. http://dx.doi.org/10.1016/j.dss.2009.02.009.

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22

Sabatini, Fabio, and Francesco Sarracino. "Online Social Networks and Trust." Social Indicators Research 142, no. 1 (2018): 229–60. http://dx.doi.org/10.1007/s11205-018-1887-2.

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23

SONG, Yang. "From Offline Social Networks to Online Social Networks: Changes in Entrepreneurship." Informatica Economica 20, no. 2/2015 (2015): 120–33. http://dx.doi.org/10.12948/issn14531305/19.2.2015.12.

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24

Merchant, Guy. "Identity, Social Networks and Online Communication." E-Learning and Digital Media 3, no. 2 (2006): 235–44. http://dx.doi.org/10.2304/elea.2006.3.2.235.

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25

Franchi, Enrico, Agostino Poggi, and Michele Tomaiuolo. "Information Attacks on Online Social Networks." Journal of Information Technology Research 7, no. 3 (2014): 54–71. http://dx.doi.org/10.4018/jitr.2014070104.

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Online social networks have changed the way people interact, allowing them to stay in touch with their acquaintances, reconnect with old friends, and establish new relationships with other people based on hobbies, interests, and friendship circles. Unfortunately, the regrettable concurrence of the users' carefree attitude in sharing information, the often sub-par security measures from the part of the system operators and, eventually, the high value of the published information make online social networks an interesting target for crackers and scammers alike. The information contained can be u

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26

Zhang, Yifeng, Xiaoqing Li, and Te-Wei Wang. "Identifying Influencers in Online Social Networks." International Journal of Intelligent Information Technologies 9, no. 1 (2013): 1–20. http://dx.doi.org/10.4018/jiit.2013010101.

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Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criteri

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27

., C. Kavitha, and Nageswararao Sirisala. "Trust Computation in Online Social Networks." International Journal of Computer Sciences and Engineering 7, no. 4 (2019): 174–78. http://dx.doi.org/10.26438/ijcse/v7i4.174178.

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28

Chung, Jin Young, and Dimitrios Buhalis. "Information Needs in Online Social Networks." Information Technology & Tourism 10, no. 4 (2008): 267–81. http://dx.doi.org/10.3727/109830508788403123.

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29

Guidi, Barbara. "When Blockchain meets Online Social Networks." Pervasive and Mobile Computing 62 (February 2020): 101131. http://dx.doi.org/10.1016/j.pmcj.2020.101131.

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30

Turculeţ, Mircea. "Ethical Issues Concerning Online Social Networks." Procedia - Social and Behavioral Sciences 149 (September 2014): 967–72. http://dx.doi.org/10.1016/j.sbspro.2014.08.317.

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31

Ananthula, Swathi, Omar Abuzaghleh, Navya Bharathi Alla, Swetha Prabha Chaganti, Pragna chowdary kaja, and Deepthi Mogilineedi. "Measuring Privacy in Online Social Networks." International Journal of Security, Privacy and Trust Management 4, no. 2 (2015): 01–09. http://dx.doi.org/10.5121/ijsptm.2015.4201.

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32

A.Devmane, M., and N. K. Rana. "Privacy Issues in Online Social Networks." International Journal of Computer Applications 41, no. 13 (2012): 5–8. http://dx.doi.org/10.5120/5599-7851.

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33

Savage, David, Xiuzhen Zhang, Xinghuo Yu, Pauline Chou, and Qingmai Wang. "Anomaly detection in online social networks." Social Networks 39 (October 2014): 62–70. http://dx.doi.org/10.1016/j.socnet.2014.05.002.

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34

Peled, Olga, Michael Fire, Lior Rokach, and Yuval Elovici. "Matching entities across online social networks." Neurocomputing 210 (October 2016): 91–106. http://dx.doi.org/10.1016/j.neucom.2016.03.089.

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35

Krasnova, Hanna, Sarah Spiekermann, Ksenia Koroleva, and Thomas Hildebrand. "Online Social Networks: Why We Disclose." Journal of Information Technology 25, no. 2 (2010): 109–25. http://dx.doi.org/10.1057/jit.2010.6.

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On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationsh

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36

Rawat, Ashish, Gunjan Gugnani, Minakshi Shastri, and Pardeep Kumar. "Anomaly Recognition in Online Social Networks." International Journal of Security and Its Applications 9, no. 7 (2015): 109–18. http://dx.doi.org/10.14257/ijsia.2015.9.7.10.

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37

Gjoka, Minas, Carter T. Butts, Maciej Kurant, and Athina Markopoulou. "Multigraph Sampling of Online Social Networks." IEEE Journal on Selected Areas in Communications 29, no. 9 (2011): 1893–905. http://dx.doi.org/10.1109/jsac.2011.111012.

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38

Lu, Can, Jeffrey Xu Yu, Rong-Hua Li, and Hao Wei. "Exploring Hierarchies in Online Social Networks." IEEE Transactions on Knowledge and Data Engineering 28, no. 8 (2016): 2086–100. http://dx.doi.org/10.1109/tkde.2016.2546243.

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39

Zafar, Muhammad Bilal, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, and Saptarshi Ghosh. "Sampling Content from Online Social Networks." ACM Transactions on the Web 9, no. 3 (2015): 1–33. http://dx.doi.org/10.1145/2743023.

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40

Maqsood, Tahir, Osman Khalid, Rizwana Irfan, Sajjad A. Madani, and Samee U. Khan. "Scalability Issues in Online Social Networks." ACM Computing Surveys 49, no. 2 (2016): 1–42. http://dx.doi.org/10.1145/2968216.

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41

Srivastava, Agrima, and G. Geethakumari. "Privacy landscape in online social networks." International Journal of Trust Management in Computing and Communications 3, no. 1 (2015): 19. http://dx.doi.org/10.1504/ijtmcc.2015.072461.

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42

Gao, Hongyu, Jun Hu, Tuo Huang, Jingnan Wang, and Yan Chen. "Security Issues in Online Social Networks." IEEE Internet Computing 15, no. 4 (2011): 56–63. http://dx.doi.org/10.1109/mic.2011.50.

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43

Delcea, Camelia, and Ioana-Alexandra Bradea. "Grey clustering in online social networks." Vietnam Journal of Computer Science 4, no. 3 (2016): 185–93. http://dx.doi.org/10.1007/s40595-016-0087-8.

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44

Peng, Gang, and Jifeng Mu. "Technology Adoption in Online Social Networks." Journal of Product Innovation Management 28, s1 (2011): 133–45. http://dx.doi.org/10.1111/j.1540-5885.2011.00866.x.

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45

Hu, Hai-Bo, and Xiao-Fan Wang. "Disassortative mixing in online social networks." EPL (Europhysics Letters) 86, no. 1 (2009): 18003. http://dx.doi.org/10.1209/0295-5075/86/18003.

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46

Klausen, Jytte, Christopher E. Marks, and Tauhid Zaman. "Finding Extremists in Online Social Networks." Operations Research 66, no. 4 (2018): 957–76. http://dx.doi.org/10.1287/opre.2018.1719.

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47

Guille, Adrien, Hakim Hacid, Cecile Favre, and Djamel A. Zighed. "Information diffusion in online social networks." ACM SIGMOD Record 42, no. 2 (2013): 17–28. http://dx.doi.org/10.1145/2503792.2503797.

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48

Zhu, Konglin, Wenzhong Li, Xiaoming Fu, and Jan Nagler. "How Do Online Social Networks Grow?" PLoS ONE 9, no. 6 (2014): e100023. http://dx.doi.org/10.1371/journal.pone.0100023.

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49

Fire, Michael, Roy Goldschmidt, and Yuval Elovici. "Online Social Networks: Threats and Solutions." IEEE Communications Surveys & Tutorials 16, no. 4 (2014): 2019–36. http://dx.doi.org/10.1109/comst.2014.2321628.

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50

Li, Nan, and Guanling Chen. "Sharing location in online social networks." IEEE Network 24, no. 5 (2010): 20–25. http://dx.doi.org/10.1109/mnet.2010.5578914.

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