Community-Based Scholar Recommendation Modeling in Academic Social Network Sites

Author(s):  
JieMin Chen ◽  
Yong Tang ◽  
JianGuo Li ◽  
ChengJie Mao ◽  
Jing Xiao
2015 ◽  
Vol 7 (2) ◽  
pp. 3-14 ◽  
Author(s):  
Giovanni Bonaiuti

Abstract Networking is not only essential for success in academia, but it should also be seen as a natural component of the scholarly profession. Research is typically not a purely individualistic enterprise. Academic social network sites give researchers the ability to publicise their research outputs and connect with each other. This work aims to investigate the use done by Italian scholars of 11/D2 scientific field. The picture presented shows a realistic insight into the Italian situation, although since the phenomenon is in rapid evolution results are not stable and generalizable.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jonas De Meulenaere ◽  
Bastiaan Baccarne ◽  
Cédric Courtois ◽  
Koen Ponnet

AbstractThere is a tendency in the literature on local digital media use and neighborhood outcomes to conceptualize Social Network Sites (SNSs) as mere transmission channels, thereby ignoring SNSs’ dynamics and limiting the understanding of their role in neighborhood life. Informed by Communication Infrastructure Theory and social media literature, we propose and test a model to investigate the association between the use of SNSs, appropriated as online neighborhood networks, and neighborhood sense of community. We administered a survey to Flemish online neighborhood network users (n = 590) and found that active localized SNS use brings about an online sense of community and community awareness, which both independently lead to a neighborhood sense of community. Based on these findings, we argue that SNSs, appropriated as online neighborhood networks, function simultaneously as neighborhood hotspots in a neighborhood’s communication action context as well as community awareness media in a neighborhood’s storytelling network.


10.2196/24643 ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. e24643
Author(s):  
Mohammad Dehghani ◽  
Mehdi Kahouei ◽  
Shahin Akhondzadeh ◽  
Bita Mesgarpour ◽  
Reza Ferdousi

Background Today, academic social network sites' role in improving the quality of education and how investigators conduct their research has become more critical. Objective This study aimed to investigate Iranian health researchers' requirements for academic social network sites from a low-income country perspective. Methods This qualitative study with a phenomenological approach was done in 2020. In this study, 23 researchers in the health system were selected by purposive sampling. Semistructured interviews were used to collect data. Data were analyzed by MaxQDA-10 software and the content analysis method. Results We identified 2 categories of functional and technical characteristics in the study participants' expectations. Functional characteristics included facilitating communication and team activities, managing scientific publications, enhancing the process of conducting research, being informative, and sharing and trading laboratory materials and equipment. Technical characteristics of an academic social network include user management capabilities, high security and privacy, being user-friendly, and other technical features. Conclusions Health researchers emphasized 2 functional and technical characteristics required to meet academic social network sites' expectations.


2018 ◽  
Vol 7 (3.13) ◽  
pp. 133 ◽  
Author(s):  
Mumtazimah Mohammad ◽  
Yuzarimi M. Lazim ◽  
Suharmili Rosle

Academic Social Networking Sites (ASNs) have become one of the most important platforms in modern information and education industries. It will definitely become an essential mechanism to communicate, connect and collaborate among the scholarly community. In this paper, we provide a comprehensive investigation of ASNs such as Academia, ResearchGate, Mendeley and Zotero, and identify the features of ASNs. We also discuss the opportunities for ASNs and provide the challenges. Challenges related to ASNs are: collecting relevant data and identifying data quality, finding evaluation metrics and also developing efficient algorithms. Disciplinary differences in domain area and academic position become the opportunities why academicians use ASNs.  


2020 ◽  
Author(s):  
Mohammad Dehghani ◽  
Mehdi Kahouei ◽  
Shahin Akhondzadeh ◽  
Bita Mesgarpour ◽  
Reza Ferdousi

BACKGROUND Today, academic social network sites' role in improving the quality of education and how investigators conduct their research has become more critical. OBJECTIVE This study aimed to investigate Iranian health researchers' requirements for academic social network sites from a low-income country perspective. METHODS This qualitative study with a phenomenological approach was done in 2020. In this study, 23 researchers in the health system were selected by purposive sampling. Semistructured interviews were used to collect data. Data were analyzed by MaxQDA-10 software and the content analysis method. RESULTS We identified 2 categories of functional and technical characteristics in the study participants' expectations. Functional characteristics included facilitating communication and team activities, managing scientific publications, enhancing the process of conducting research, being informative, and sharing and trading laboratory materials and equipment. Technical characteristics of an academic social network include user management capabilities, high security and privacy, being user-friendly, and other technical features. CONCLUSIONS Health researchers emphasized 2 functional and technical characteristics required to meet academic social network sites' expectations.


2016 ◽  
Vol 28 (4) ◽  
pp. 423-429 ◽  
Author(s):  
Ni Zhang ◽  
Michele Teti ◽  
Kellie Stanfield ◽  
Shelly Campo

Purpose: This exploratory qualitative study examines Chinese adolescents’ health information sharing habits on social network sites. Method: Ten focus group meetings with 76 adolescents, ages 12 to 17 years, were conducted at community-based organizations in Chicago’s Chinatown. The research team transcribed the recording and analyzed the transcripts using ATLAS.ti. Results: Chinese adolescents are using different social network sites for various topics of health information including food, physical activity, and so on. Adolescents would share useful and/or interesting health information. Many adolescents raised credibility concerns regarding health information and suggested evaluating the information based on self-experience or intuition, word-of-mouth, or information online. Conclusion: The findings shed lights on future intervention using social network sites to promote health among Chinese adolescents in the United States. Implications for Practice: Future interventions should provide adolescents with interesting and culturally sensitive health information and educate them to critically evaluate health information on social network sites.


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