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Journal articles on the topic 'Social network site'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Claybaugh, Craig C., and Peter Haried. "Professional Social Network Site Participation." International Journal of Virtual Communities and Social Networking 4, no. 4 (2012): 19–32. http://dx.doi.org/10.4018/jvcsn.2012100102.

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Online professional social networks have become a noteworthy tool to help professionals create, strengthen, and maintain valuable business connections. However, the question remains as to who is actually using online professional social networks and how the diffusion of the social network has occurred. Looking at diffusion and usage through innovation diffusion theory, critical mass and a network effects lens, this paper seeks to examine the diffusion of an online professional social network (LinkedIn) for a specific population of university business schools. Using longitudinal analysis (2008

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2

Han, Bo. "User's Social Network Site Loyalty." International Journal of Virtual Communities and Social Networking 9, no. 3 (2017): 1–14. http://dx.doi.org/10.4018/ijvcsn.2017070101.

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The answers to the question of how to build a user's loyalty have become the most desirable knowledge to academics and practitioners, when the competitions turn drastic among social network sites. This article proposes a new model to investigate the influential factors of the user's cognitive loyalty and affective loyalty to a social network site. The authors find that the user's actualization of hoped for self and the informativeness of a social network site both have significant positive effects on the user's perceived usefulness and perceived enjoyment, thereby positively influencing the us

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Andreassen, Cecilie, and Stale Pallesen. "Social Network Site Addiction - An Overview." Current Pharmaceutical Design 20, no. 25 (2014): 4053–61. http://dx.doi.org/10.2174/13816128113199990616.

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4

Closson, Leanna M., and Takara A. Bond. "Social network site use and university adjustment." Educational Psychology 39, no. 8 (2019): 1027–46. http://dx.doi.org/10.1080/01443410.2019.1618443.

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5

Kaur, Kamaljit, and Ripanjit kaur. "Predicting Demographic User Using Social Network Site." International Journal of Computer Trends and Technology 67, no. 6 (2019): 109–10. http://dx.doi.org/10.14445/22312803/ijctt-v67i6p118.

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Hu, Yu-Ting, and Qing-Qi Liu. "Passive social network site use and adolescent materialism: Upward social comparison as a mediator." Social Behavior and Personality: an international journal 48, no. 1 (2020): 1–8. http://dx.doi.org/10.2224/sbp.8833.

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We examined the role of upward social comparison in the relationship between passive social network site use and adolescent materialism. A sample of 718 Chinese adolescents completed measures of passive social network site use, upward social comparison, and materialism. Correlational analysis results showed that passive social network site use was significantly correlated with upward social comparison and adolescent materialism. In addition, regression analysis results showed that passive social network site use significantly predicted adolescent materialism through the mediation of upward soc

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Kim, Hyunji, Richard Schlicht, Marlit Schardt, and Arnd Florack. "The contributions of social comparison to social network site addiction." PLOS ONE 16, no. 10 (2021): e0257795. http://dx.doi.org/10.1371/journal.pone.0257795.

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Excessive use of social network sites (SNSs) can often lead to negative consequences of frequent upward social comparisons despite having the social network platform to present users in a favorable light. However, the existing literature gives little evidence to social comparison related antecedents and consequents of uncontrollable use of SNSs. The present study aimed to investigate the contributions of social comparison to SNS addiction. In Study 1, using a convenient sample in Austria (n = 103), we showed that the tendency to engage in social comparisons of ability (but not of opinion) pred

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Liu, Haihua, Junqi Shi, Yihao Liu, and Zitong Sheng. "The Moderating Role of Attachment Anxiety on Social Network Site Use Intensity and Social Capital." Psychological Reports 112, no. 1 (2013): 252–65. http://dx.doi.org/10.2466/21.02.17.pr0.112.1.252-265.

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This study examined the moderating role of attachment anxiety on the relationship between intensity of social network site use and bridging, bonding, and maintained social capital. Data from 322 undergraduate Chinese students were collected. Hierarchical regression analyses showed positive relationships between online intensity of social network site use and the three types of social capital. Moreover, attachment anxiety moderated the effect of intensity of social network site use on social capital. Specifically, for students with lower attachment anxiety, the relationships between intensity o

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Roesen, Tine. "www.snob.ru: A Social Network Site for the Elite." Digital Icons: Studies in Russian, Eurasian and Central European New Media, no. 6 (June 7, 2011): 81–92. https://doi.org/10.5281/zenodo.14730441.

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Since its launch in 2008, the Russian project Snob, involving a printed magazine and a website, has fascinated observers as the first example of a self-proclaimed Russian elite, joining the league of asmallworld.net and affluence.com. Sponsored by billionaire Mikhail Prokhorov, the project initially resembled yet another invention by New Russians who are eager to flash their riches, with its online social network serving as yet another exclusive club. However, in 2009 the site was opened for guest access and membership by subscription; it is now possible not only to establish the basic fa

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10

Yuan, Chien Wen (Tina), and Susan R. Fussell. "A tale of two sites: Dual social network site use and social network development." Computers in Human Behavior 74 (September 2017): 83–91. http://dx.doi.org/10.1016/j.chb.2017.04.011.

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11

K, Dr Kavitha. "Social Media and Social Networking." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29635.

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A Social networking service (also social networking site, SNS or social media) is an online platform that is used by people to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections. The variety of stand-alone and built-in social networking services currently available in the online space introduces challenges of definition; however, there are some common features: (1) social networking services are Web 2.0 internet-based applications, (2) user-generated content (UGC) is the lifeblood of SNS o

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12

Zhou, Tao. "The effect of network externality on mobile social network site continuance." Program 49, no. 3 (2015): 289–304. http://dx.doi.org/10.1108/prog-10-2014-0078.

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Purpose – The purpose of this paper is to examine the effect of network externality on users’ continuance of mobile social network sites (SNS). Design/methodology/approach – Based on the 230 valid responses collected from a survey, structural equation modeling was employed to examine the research model. Findings – The results indicated that network externality, which includes referent network size and perceived complementarity, has a significant effect on perceived usefulness and flow. Privacy concern affects perceived usefulness, flow and privacy risk. These three factors determine continued

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Pwint Oo, Saung Hnin. "Intelligent Access Control Policies for Social Network Site." International Journal of Computer Science and Information Technology 5, no. 3 (2013): 183–90. http://dx.doi.org/10.5121/ijcsit.2013.5315.

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Önder, Özerk, and Halûk Gümüşkaya. "Architectural platform: a social network site for architects." Procedia Computer Science 3 (2011): 469–73. http://dx.doi.org/10.1016/j.procs.2010.12.079.

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15

Andreassen, Cecilie Schou. "Online Social Network Site Addiction: A Comprehensive Review." Current Addiction Reports 2, no. 2 (2015): 175–84. http://dx.doi.org/10.1007/s40429-015-0056-9.

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16

Martínez‐Torres, M. R., Sergio L. Toral, Beatriz Palacios, and Federico Barrero. "Web site structure mining using social network analysis." Internet Research 21, no. 2 (2011): 104–23. http://dx.doi.org/10.1108/10662241111123711.

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Litt, Eden. "Understanding social network site users’ privacy tool use." Computers in Human Behavior 29, no. 4 (2013): 1649–56. http://dx.doi.org/10.1016/j.chb.2013.01.049.

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Thelwall, Mike, and Kayvan Kousha. "Goodreads: A social network site for book readers." Journal of the Association for Information Science and Technology 68, no. 4 (2016): 972–83. http://dx.doi.org/10.1002/asi.23733.

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Salah, Mona, Rana Khallaf, Emad Elbeltagi, and Hossam Wefki. "Construction Site Layout Planning: A Social Network Analysis." Buildings 13, no. 10 (2023): 2637. http://dx.doi.org/10.3390/buildings13102637.

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Construction site layout planning (CSLP) is the strategic arrangement and planning of construction site spaces, which has an enormous impact on the success of any construction project. Over the past two decades, multiple planning models have been developed to generate layouts that maintain safety and productivity within the construction environment. Yet these models vary significantly with disparate assumptions, many of which remain unstated. This study harnesses social network analysis (SNA) as a means to convert data into knowledge. It applies SNA to shed light on CSLP, providing a comprehen

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20

Liu, Dong, Kevin B. Wright, and Baijing Hu. "A meta-analysis of Social Network Site use and social support." Computers & Education 127 (December 2018): 201–13. http://dx.doi.org/10.1016/j.compedu.2018.08.024.

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21

Ashton, Triss, Dongyop Oh, Jongtae Yu, and Yang Wang. "Predicting eBook Purchases of Heterogeneous Social Groups in a Social Network Site Using Network Metrics." International Journal of Mobile Communications 1, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijmc.2023.10042449.

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Yu, Jongtae, Dong Yop Oh, Triss Ashton, and Yang Wang. "Predicting eBook purchases of heterogeneous social groups in a social network site using network metrics." International Journal of Mobile Communications 22, no. 1 (2023): 92–110. http://dx.doi.org/10.1504/ijmc.2023.131803.

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23

Wu, Chao Ming. "What Factors Affect People's Stickiness on the Social Network Site? The Case of Facebook in Taiwan." Key Engineering Materials 474-476 (April 2011): 1573–77. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1573.

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With the rapid growth of population of Internet, social network site has become a communicable platform that people share some information themselves or connecting whit friends, such as MySpace, Facebook, Twitter. This study uses TRA and TAM as basic model, and combined with the Social Identity Theory to explore what factors affect internet users to stick on the social network site. The study adopts the Facebook as experiment platform, and collects 318 Taiwanese samples from internet. After the analysis of structural equation model, main results are the followings: (1)Users’ social identity, p

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24

Nash, Kate. "Goa Hippy Tribe: Theorising Documentary Content on a Social Network Site." Media International Australia 142, no. 1 (2012): 30–40. http://dx.doi.org/10.1177/1329878x1214200105.

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In the 1970s, a wave of young Western hippies descended on the beaches of Goa in India. Forty years later, some of them reconnected on the social network site Facebook and planned a reunion. This event, and the Goan hippy community then and now, are the subjects of a documentary called Goa Hippy Tribe, produced by Australian documentary maker Darius Devas. Funded by Screen Australia, SBS and Screen New South Wales, Goa Hippy Tribe is the first Australian documentary to be produced for the social network site Facebook. In this article, I consider how documentary in a social network context migh

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25

Wasmann, Michel, and Marco Spruit. "Performance Management within Social Network Sites." International Journal of Business Intelligence Research 3, no. 2 (2012): 49–63. http://dx.doi.org/10.4018/jbir.2012040104.

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The huge amount of data and complexity of decisions in the current information age requires decision makers to utilize information analysis tools for supporting business decisions. This is also the case for social network sites which control huge amounts of data just waiting to be transformed from information to valuable knowledge through Business Intelligence methods. These techniques are not yet widely in use within companies whose core business revolves around user generated content. This research conducts a qualitative research to provide more knowledge and a deeper understanding of a Busi

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Zhia Sheng, Dalian Wu, Isredza Rahmi A. Hamid, and Hannani Aman. "Multilevel Authentication for Social Network." JOIV : International Journal on Informatics Visualization 2, no. 3-2 (2018): 220. http://dx.doi.org/10.30630/joiv.2.3-2.146.

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Nowadays, social network plays a vital role in communication. Normally user used social networks in daily activities. However, this left all online users susceptible to misuse and abuse. Recently, there has been a remarkable growth in number of hacking as well. Once the computer is online, anyone can have access to the network. Therefore, we proposed a secure social network site called SocialBook where users can post status, photos and connect with friends. This system is developed using PHP programming language and Iterative and Incremental Development methodology. The purpose of developing t

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27

Yunita, Sri, Yustika Nur Fajriah, and Susilawati Susilawati. "EFL STUDENTS� ENGAGEMENT IN SOCIAL NETWORK SITE- BASED LEARNING." Edulingua: Jurnal Linguistiks Terapan dan Pendidikan Bahasa Inggris 8, no. 2 (2022): 23–32. http://dx.doi.org/10.34001/edulingua.v8i2.2048.

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Online learning is a choice to use in this current pedagogy. The most prominent power in online learning is the wide room for teachers to develop students engagement during the learning process. This study aims to figure out how students are engaged in online learning, to describe and examine in depth how they are engaging themselves in the online learning. This study employs a case study. The data were obtained from a collection of students chat and discussion in SNS. The data were obtained by observation, questionnaires and interviews. Observation data and questionnaires were analyzed by usi

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van Noort, Guda, Marjolijn L. Antheunis, and Peeter W. J. Verlegh. "Enhancing the effects of social network site marketing campaigns." International Journal of Advertising 33, no. 2 (2014): 235–52. http://dx.doi.org/10.2501/ija-33-2-235-252.

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29

Damian, Elena, and Erik Van Ingen. "Social Network Site Usage and Personal Relations of Migrants." Societies 4, no. 4 (2014): 640–53. http://dx.doi.org/10.3390/soc4040640.

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30

Tirthali, Devayani. "Educating About Diabetes: Conversations on a Social Network Site." Procedia - Social and Behavioral Sciences 46 (2012): 3732–37. http://dx.doi.org/10.1016/j.sbspro.2012.06.137.

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31

Okray, Zihniye, Cemaliye Direktor, and Anjelika Huseyinzade Simsek. "Social Network Site Usage among Adults: Social Networking Status and Virtual Loneliness." European Journal of Psychology and Educational Research 1, no. 1 (2018): 11–18. http://dx.doi.org/10.12973/ejper.1.1.11.

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32

Xie, Wenjing. "Social network site use, mobile personal talk and social capital among teenagers." Computers in Human Behavior 41 (December 2014): 228–35. http://dx.doi.org/10.1016/j.chb.2014.09.042.

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33

Chen, Chien Chin, and Yu-Chun Sun. "Exploring acquaintances of social network site users for effective social event recommendations." Information Processing Letters 116, no. 3 (2016): 227–36. http://dx.doi.org/10.1016/j.ipl.2015.11.013.

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34

Carpenter, Christopher J., and Chandra S. Amaravadi. "A Big Data Approach to Assessing the Impact of Social Norms: Reporting One’s Exercise to a Social Media Audience." Communication Research 46, no. 2 (2016): 236–49. http://dx.doi.org/10.1177/0093650216657776.

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Assessing the impact of an individual’s social network on an individual is difficult without administering a large number of surveys. Online social networks with built-in data collection circumvent this problem. The data collected by an exercise-focused social media website and mobile app allowed the estimation of the effect of both the behavior of the social network and the size of that network on the behavior of individual service users (31,200 users reporting 67,699 exercise events with a potential range of 87 weeks). The results are consistent with the theory of normative social behavior i

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35

Pattison, Philippa, and Garry Robins. "9. Neighborhood-Based Models for Social Networks." Sociological Methodology 32, no. 1 (2002): 301–37. http://dx.doi.org/10.1111/1467-9531.00119.

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We argue that social networks can be modeled as the outcome of processes that occur in overlapping local regions of the network, termed local social neighborhoods. Each neighborhood is conceived as a possible site of interaction and corresponds to a subset of possible network ties. In this paper, we discuss hypotheses about the form of these neighborhoods, and we present two new and theoretically plausible ways in which neighborhood-based models for networks can be constructed. In the first, we introduce the notion of a setting structure, a directly hypothesized (or observed) set of exogenous

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36

Tsetsi, Eric, and Stephen A. Rains. "Inequality, Social Networks, and Internet Use: Exploring the Implications of the Social Diversification Hypothesis." Human Communication & Technology 1, no. 2 (2020): 1–19. http://dx.doi.org/10.17161/hct.v1i2.13270.

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The social diversification hypothesis (SDH) suggests that in multicultural societies Internet use can help mitigate structural inequalities in access to social resources. Whereas traditionally disadvantaged groups are predicted to use the Internet to expand and diversify their social networks, advantaged groups use it to maintain existing connections. The present study investigates this central prediction of the SDH by examining the relationship between Internet and social network site (SNS) use and inequalities in network size and diversity based on race, sex, and education among a nationally

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Bajaj, Akhilesh, Adrien Bouchet, and Li Sun. "The Mediating Effect of Bridging Social Capital Between Social Media Usage and Affective Attitude." International Journal of Social Media and Online Communities 13, no. 1 (2021): 51–75. http://dx.doi.org/10.4018/ijsmoc.2021010104.

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In this work, the authors develop and test a theoretical model that investigates the mediating effect of bridging social capital between usage of a brand specific social network site and consumer attitude towards the brand. Specifically, they see how usage of online social network sites drives consumer purchase intent, using university football as a domain to test the model. They find that bridging social capital is indeed a mediating construct between the university's sports social networking site usage and affective attitude towards the team brand. As social network site usage increases, bot

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38

Sander, Tom, and Biruta Sloka. "Use of Social Network Sites Depending on the Country of Origin of the Social Network Site User." European Integration Studies, no. 13 (October 29, 2019): 18–36. http://dx.doi.org/10.5755/j01.eis.0.13.23550.

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Recent technological developments have determined that Social network sites (SNSs) are also marketplaces to exchange information between members e.g. to inform individuals about new products or to cooperate with each other. Such aspects of SNSs use are under the academic researchers’ interest worldwide. The strategy to create a market in SNSs for different countries can be successful if companies have a deep understanding of SNSs. That needs the investigation if mechanism in SNSs and the use of SNSs is similar world-wide. The aim of the research is to investigate how people use SNSs and to ana

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39

XIONG, XI, ZHI-JIAN GOU, SHI-BIN ZHANG, and WEN ZHAO. "DYNAMIC EVOLUTION MODEL BASED ON SOCIAL NETWORK SERVICES." International Journal of Modern Physics C 24, no. 11 (2013): 1350081. http://dx.doi.org/10.1142/s0129183113500812.

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Based on the analysis of evolutionary characteristics of public opinion in social networking services (SNS), in the paper we propose a dynamic evolution model, in which opinions are coupled with topology. This model shows the clustering phenomenon of opinions in dynamic network evolution. The simulation results show that the model can fit the data from a social network site. The dynamic evolution of networks accelerates the opinion, separation and aggregation. The scale and the number of clusters are influenced by confidence limit and rewiring probability. Dynamic changes of the topology reduc

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Isabelle Pope. "Social Network Dynamic Modeling via Mathematical Applicative Formulae." Mathematical Statistician and Engineering Applications 70, no. 1 (2021): 05–08. http://dx.doi.org/10.17762/msea.v70i1.7.

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For one or more files contained in databases, the computer forms a leading site for storage. In the majority of large firms, the databases tend to be in central systems, rather than on the individual employee computers. It is also worth noting that computer servers are contained in these respective firm central systems, offering services over networks. The implication is that the server hosts database files but, using different firm computers, an operator can access the files. An increase in database complexity translates into the formation of a social network. Therefore, a social network beco

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41

Srivastava, Harshit, Ehsan Sheybani, and Ravi Sankar. "Social Network Anomaly Detection for Optimized Decision Development." International Journal of Interdisciplinary Telecommunications and Networking 14, no. 1 (2022): 1–8. http://dx.doi.org/10.4018/ijitn.309697.

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The paper presents the development of systems for improved source selection in a process that creates real-time categorization of events using only posts collected through various sensing applications that use social networks (such as Twitter or other mass dissemination networks) for reporting. The system recognizes critical instances in applications and simply views essential information from users (either by explicit user action or by default, as on Twitter) within the event and provides a textual description. As a result, social networks open up unprecedented possibilities for creating sens

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Ouwerkerk, Jaap W., and Benjamin K. Johnson. "Motives for Online Friending and Following: The Dark Side of Social Network Site Connections." Social Media + Society 2, no. 3 (2016): 205630511666421. http://dx.doi.org/10.1177/2056305116664219.

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Malachowski, Andrzej. "Phenomenon of Nasza Klasa (Our Class) Polish Social Network Site." Issues in Informing Science and Information Technology 6 (2009): 365–72. http://dx.doi.org/10.28945/1065.

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Sapon, Irina V., and Dmitry E. Ledenev. "THE PRIVACY BOUNDARIES OF USERS OF SOCIAL NETWORK SITE VKONTAKTE." Scientific Review. Series 2. Human sciences, no. 6 (2018): 93–105. http://dx.doi.org/10.26653/2076-4685-2018-6-08.

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Boland, Jennifer K., and Jaime L. Anderson. "The role of personality psychopathology in social network site behaviors." Personality and Individual Differences 151 (December 2019): 109517. http://dx.doi.org/10.1016/j.paid.2019.109517.

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Huang, Chiungjung. "Social network site use and academic achievement: A meta-analysis." Computers & Education 119 (April 2018): 76–83. http://dx.doi.org/10.1016/j.compedu.2017.12.010.

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Goldsmith, Ronald E., Margherita Pagani, and Xiaojing Lu. "Social network activity and contributing to an online review site." Journal of Research in Interactive Marketing 7, no. 2 (2013): 100–118. http://dx.doi.org/10.1108/jrim-jul-2012-0029.

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Barth, Niklas. "Kalte Vertrautheiten – Private Kommunikation auf der Social Network Site Facebook." Berliner Journal für Soziologie 25, no. 4 (2015): 459–89. http://dx.doi.org/10.1007/s11609-016-0299-x.

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Wilkinson, David, and Mike Thelwall. "Social network site changes over time: The case of MySpace." Journal of the American Society for Information Science and Technology 61, no. 11 (2010): 2311–23. http://dx.doi.org/10.1002/asi.21397.

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Greenhow, Christine. "Youth as content producers in a niche social network site." New Directions for Youth Development 2010, no. 128 (2010): 55–63. http://dx.doi.org/10.1002/yd.375.

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