A Context-Aware Social Networking Platform Built Around the Needs of Elderly Users: The Go-myLife Experience

Sensor-equipped mobile devices have allowed users to participate in various social networking services. We focus on proximity-based mobile social networking environments where users can share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection and the space and time related to the shared information as the contexts. To model the potential information influences, we construct an influence graph by integrating the space and time contexts into the proximity-based contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.

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Business-Oriented Analytics With Social Network of Things

Advances in Business Information Systems and Analytics - Social Network Analytics for Contemporary Business Organizations ◽

10.4018/978-1-5225-5097-6.ch009 ◽

2018 ◽

pp. 166-187

Author(s):

Pawan Kumar ◽

Adwitiya Sinha

Keyword(s):

Social Network ◽

Social Networking ◽

Context Awareness ◽

Context Aware ◽

Main Concept ◽

Social Data ◽

Context Aware Computing ◽

Recent Trends ◽

Socially Relevant ◽

Modern Era

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.

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BeFriend: A Context-Aware Ad-hoc Social Networking Platform

Automatika ◽

10.7305/automatika.2016.03.1037 ◽

2016 ◽

Vol 57 (1) ◽

pp. 58-65 ◽

Cited By ~ 1

Author(s):

Vanja Smailović ◽

Vedran Podobnik

Keyword(s):

Social Networking ◽

Ad Hoc ◽

Context Aware

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Social Network Communications in Chilean Older Adults

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17176078 ◽

2020 ◽

Vol 17 (17) ◽

pp. 6078

Author(s):

Francisco Javier Rondán-Cataluña ◽

Patricio E. Ramírez-Correa ◽

Jorge Arenas-Gaitán ◽

Muriel Ramírez-Santana ◽

Elizabeth E. Grandón ◽

...

Keyword(s):

Older Adults ◽

Social Networks ◽

Social Networking ◽

Social Networking Sites ◽

Educational Level ◽

The Elderly ◽

Population Based ◽

And Gender ◽

Gender Influences ◽

Elderly Users

The growth of older adults in new regions poses challenges for public health. We know that these seniors live increasingly alone, and this impairs their health and general wellbeing. Studies suggest that social networking sites (SNS) can reduce isolation, improve social participation, and increase autonomy. However, there is a lack of knowledge about the characteristics of older adult users of SNS in these new territories. Without this information, it is not possible to improve the adoption of SNS in this population. Based on decision trees, this study analyzes how the elderly users of various SNS in Chile are like. For this purpose, a segmentation of the different groups of elderly users of social networks was constructed, and the most discriminating variables concerning the use of these applications were classified. The results highlight the existence of considerable differences between the various social networks analyzed in their use and characterization. Educational level is the most discriminating variable, and gender influences the types of SNS use. In general, it is observed that the higher the educational level, the more the different social networking sites are used.

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Context-Aware Multimedia Distribution to Mobile Social Communities

International Journal of Handheld Computing Research ◽

10.4018/jhcr.2013070104 ◽

2013 ◽

Vol 4 (3) ◽

pp. 63-92 ◽

Cited By ~ 1

Author(s):

Filipe Cabral Pinto ◽

Nuno Carapeto ◽

António Videira ◽

Teresa Frazão ◽

Mário Homem

Keyword(s):

Social Networking ◽

Context Information ◽

Ip Multimedia Subsystem ◽

Context Aware ◽

Social Communities ◽

Content Sharing ◽

Multicast Service ◽

Personalized Services ◽

Multimedia Distribution ◽

Multimedia Broadcast Multicast Service

The work here presented introduces a next generation context-aware architecture for social networking multimedia distribution. It enhances the Multimedia Broadcast Multicast Service (MBMS) and the Evolved MBMS (E-MBMS) systems by adding users’ situation knowledge on their assessments allowing Mobile Operators to offer personalized services delivered over optimized networks. Furthermore, it evolves IP Multimedia Subsystem (IMS) with specific functionalities to control the context information and to manage MBMS and E-MBMS bearers. The proposed framework was tested and the results are here presented. A clever content sharing in mobile communities can be the basis of the famous killer application that Mobile Operators are still looking for.

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Business-Oriented Analytics With Social Network of Things

Social Entrepreneurship ◽

10.4018/978-1-5225-8182-6.ch026 ◽

2019 ◽

pp. 524-545 ◽

Cited By ~ 1

Author(s):

Pawan Kumar ◽

Adwitiya Sinha

Keyword(s):

Social Network ◽

Social Networking ◽

Context Awareness ◽

Context Aware ◽

Main Concept ◽

Social Data ◽

Context Aware Computing ◽

Recent Trends ◽

Socially Relevant ◽

Modern Era

In the modern era of technological advancements, internet of things (IoT) and social network of things (SNoT) have gained vitality with the extensive application of sensors for accumulation of socially relevant data. A colossal amount of social data collected becomes unfeasible to process and deliver with progress in time and domain. Therefore, a major problem lies in analysis, interpretation, and understanding of the huge amount of social data. This challenge has been greatly leveraged by context-aware computing, which permits storing context information so that meaningful analysis of data can be achieved. Also, the importance of context-aware social networking and network diffusion is elaborated with the aim to develop effective solutions to issues in this domain. The main concept here is people around a person share common experiences with that person, which in turn can be made interactive, thereby leading to collective and quick resolving of problems. Social network of things is closely coupled with context awareness to make interpretation of big data easier and compatible to recent trends.

Download Full-text