scholarly journals University campus social network system for knowledge sharing

2012 ◽  
Vol 9 (4) ◽  
pp. 1721-1737 ◽  
Author(s):  
Zhao Du ◽  
Xiaolong Fu ◽  
Can Zhao ◽  
Ting Liu ◽  
Qifeng Liu
Keyword(s):  
Social Network ◽  
Knowledge Sharing ◽  
Evaluation Method ◽  
Online Social Network ◽  
Network Services ◽  
Personalized Recommendation ◽  
Network System ◽  
University Campus ◽  
Digital Resources ◽  
Social Network Services

Public online social network services have achieved dazzling success in recent years. As a result, vertical social network services for universities are expected warmly by campus users. As the majority of activities in university campus are knowledge and social interaction intensive, one of the core functions of campus social network system is to facilitate knowledge sharing on campus. In the cyberspace of universities, knowledge is stored in various kinds of digital resources such as documents, photos, videos etc. In this paper, we discuss the design and implementation of our campus social network system, concentrating on knowledge sharing mechanism in the system. The knowledge sharing mechanism has five features including the utilization of users? personal social network to facilitate the dissemination of digital resources, the use of a six-tuple model based tagging to realize the unified labeling for digital resources, the fine-grained access control based on friend lists for safer knowledge sharing, the adoption of a multiscale evaluation method for digital resources and personalized recommendation for digital resource with social graph based collaborative filtering as its core idea. With all these considerations, we expect to improve the efficiency and effectiveness of knowledge while enlarging the dissemination scope of digital resources carrying it in cyberspace of universities.

scholarly journals Adopción y Difusión de Innovación Social en las Redes Sociales Virtuales

2019 ◽  
pp. 197
Author(s):  
Joaquín Castillo de Mesa
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Network Services ◽  
Redes Sociales ◽  
Frequent Use ◽  
Social Network Services ◽  
Para Determinar ◽  
Professional Information

La adopción masiva de las redes sociales virtuales por la sociedad y su uso frecuente han convertido a estos servicios en un universo paralelo de socialización. Esto ha permitido que se compartan cantidades masivas de información, también de carácter profesional, conformando el llamado Big Social Data.El objetivo de este artículo es analizar si los profesionales que desarrollan políticas sociales activas están usando las redes sociales virtuales para compartir información.Considerando como innovación el uso de las redes sociales virtuales para compartir información y conocimiento de carácter profesional, se indaga si los profesionales del trabajo social están adoptando esta innovación. A partir de un modelo experimental desarrollado en Málaga (España) se analiza, mediante etnografía virtual, la presencia, conectividad e interacción de los profesionales en las redes sociales virtuales. Por otra parte, mediante la metodología de análisis de redes sociales se profundiza en el análisis de la conectividad en la estructura social online observada para determinar quiénes son, en virtud de su posición, los líderes de opinión. Se indaga en cómo se adopta y difunde esta innovación prestando atención a la posible correlación entre la capacidad de liderazgo y el momento de adopción.Los resultados muestran que la difusión de la innovación analizada es muy rápida. Se detecta cierta correlación entre liderazgo y momento de adopción (Rogers, 1958), poniéndose en evidencia que los precursores en la adopción son aquellos que tienen menos poder en la estructura (Becker, 1970). Se discute sobre cómo afecta el poder en la adopción de innovación. Finalmente se reflexiona sobre el potencial de las redes sociales virtuales para el Trabajo Social.Society’s overwhelming adoption and frequent use of online social networks have transformed these services into the parallel universe of conventional socialization. They have allowed for the spread of massive amounts of information of all stripes, including professional information, and have thus brought to bear what we now know as Big Social Data.The aim of this paper is to analyze whether professionals involved in active social policies in the Province of Malaga (Spain) use social network services to share information and knowledge related to the field of social intervention.Starting from the premise that the applied use of social network services constitutes an innovation to share professional information and knowledge, we sought to analyze whether professional social workers are indeed adopting this innovation. Employing an experimental model developed in Malaga, their presence and activity on Facebook® have been observed and analyzed through the lens of virtual ethnography. Moreover, by way of social network analysis, we examined the connectedness within the structure of the observed online social network so as to determine, by virtue of one’s position, who the opinion leaders are. We also analyze how this innovation is spread and whether there is a possible correlation between leadership ability and moment of adoption.The obtained results demonstrate how social network services applied to social intervention are massively and frequently used by professionals, and the diffusion of this innovation is extremely swift. Moreover, a correlation between leadership and the time of adoption is evident. Nonetheless, the precursors still stand as those professionals who have less opportunities and less power within the structure (Becker, 1970). How power and influence affect the adoption of the innovation is discussed in detail. Finally, we ponder the great potential online social networks offer to the field of Social Work apropos to education on improving cooperation and the diffusion of information and knowledge amongst professionals as well as users.

Continuous Knowledge Sharing in Online Social Network Communities

2012 ◽  
pp. 228-247
Author(s):  
Stella W. Tian
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Knowledge Sharing ◽  
Online Social Network ◽  
Three Dimensions ◽  
Network Services ◽  
Community Members ◽  
Social Mechanism ◽  
Dynamic Interactions ◽  
Network Communities

Drawing upon Jasperson, Carter, and Zmud’s feature-centric view of technology (Jasperson, Carter, & Zmud, 2005) and Nahapiet and Ghoshal’s three dimensions of social capital factors (Nahapiet & Ghoshal, 1998), this chapter develops a conceptual model to elaborate the dynamic interactions between Social Network Services (SNS) features, social capital factors, and motivational antecedents on continuous participation in knowledge sharing activities among Online Social Network (OSN) community members. A number of SNS features, social capital factors, and motivational antecedents are set forth in this chapter. And the mechanism that links these factors is reviewed. It is proposed that, with embedded social mechanism, SNS features can strengthen motivations to continued participation through social capital facilitators.

scholarly journals Employing Behavioral Analysis to Predict User Attitude towards Unwanted Content in Online Social Network Services: The Case of Makkah Region in Saudi Arabia

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 34 ◽  
Author(s):  
Mashael M. Alsulami ◽  
Arwa Yousef Al-Aama
Keyword(s):  
Saudi Arabia ◽  
Social Network ◽  
Privacy Protection ◽  
Online Social Network ◽  
Network Services ◽  
User Privacy ◽  
Protection Mechanism ◽  
Attitude Measure ◽  
Explicit Attitude ◽  
Social Network Services

The high volume of user-generated content caused by the popular use of online social network services exposes users to different kinds of content that can be harmful or unwanted. Solutions to protect user privacy from such unwanted content cannot be generalized due to different perceptions of what is considered as unwanted for each individual. Thus, there is a substantial need to design a personalized privacy protection mechanism that takes into consideration differences in users’ privacy requirements. To achieve personalization, a user attitude about certain content must be acknowledged by the automated protection system. In this paper, we investigate the relationship between user attitude and user behavior among users from the Makkah region in Saudi Arabia to determine the applicability of considering users’ behaviors, as indicators of their attitudes towards unwanted content. We propose a semi-explicit attitude measure to infer user attitude from user-selected examples. Results revealed that semi-explicit attitude is a more reliable attitude measure to represent users’ actual attitudes than self-reported preferences for our sample. In addition, results show a statistically significant relationship between a user’s commenting behavior and the user’s semi-explicit attitude within our sample. Thus, commenting behavior is an effective indicator of the user’s semi-explicit attitude towards unwanted content for a user from the Makkah region in Saudi Arabia. We believe that our findings can have positive implications for designing an effective automated personalized privacy protection mechanism by reproducing the study considering other populations.

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