scholarly journals An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks

2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommendation Systems ◽  
Network Services ◽  
The Past ◽  
User Behaviors ◽  
User Influence ◽  
User Activity ◽  
Information Recommendation ◽  
Social Network Services

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2011 ◽  
pp. 909-924
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2010 ◽  
pp. 497-512 ◽  
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

Social Media and Creativity

2017 ◽  
pp. 181-202
Author(s):  
Antonín Pavlíček
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Linear Regression ◽  
Success Factors ◽  
Descriptive Analysis ◽  
Common Factors ◽  
Network Services ◽  
Video Sharing ◽  
Social Network Services

The usage of social media is vital part of businesses practices and lives of individuals today, tourism being not exception. Yet, despite the wide reach of social networks there is a lack of understanding which factors contribute to becoming an influencer on social network services. This chapter particularly focuses on the largest video-sharing platform YouTube. It analyzes common success factors in three different countries: Canada, Germany, Italy and concludes by explaining which factors can be considered as relevant in order to succeed on YouTube. The objective is to find common factors which enable Youtubers to succeed. Predict which quantitative and qualitative elements can actually influence the success of a Youtuber and through ANOVA, Descriptive Analysis and Linear Regression find if there's actually a link between these elements and the number of subscribers. Lastly, it will try to assess on three case studies, how different tourist destination use the power of YouTube.

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.

scholarly journals Expert Finding Considering Dynamic Profiles and Trust in Social Networks

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1165
Author(s):  
Kyoungsoo Bok ◽  
Inbae Jeon ◽  
Jongtae Lim ◽  
Jaesoo Yoo
Keyword(s):  
Social Networks ◽  
Performance Evaluation ◽  
Social Network ◽  
Network Services ◽  
Expert Finding ◽  
Recent Activity ◽  
Social Network Services ◽  
Professional Information ◽  
Dynamic Profile ◽  
User Trust

Recently, social network services that express individual opinions and thoughts have been significantly developed. As unreliable information is generated and shared by arbitrary users in social network services, many studies have been conducted to find users who provide reliable and professional information. In this paper, we propose an expert finding scheme to discover users who can answer users’ questions professionally in social network services. We use a dynamic profile to extract the user’s latest interest through an analysis of the user’s recent activity. To improve the accuracy of the expert finding results, we consider the user trust and response quality. We conduct a performance evaluation with the existing schemes through various experiments to verify the superiority of the proposed scheme.

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