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The social computing, such as Social Networking services (SNSs) and social Networking Platforms (SNPs) provide a coherent medium through which people can be interactive and socialize. The SNP is a Web-based social space, specifically designed for end user-driven applications that facilitate communication, collaboration, and sharing of the knowledge through a variety of SNSs, such as text, video, and audio streams. In the conventional SNPs, such as Facebook, LinkedIn, and MySpace, computers are<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-net.2013.0009">doi:10.1049/iet-net.2013.0009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gpnxhfeuqfgsxjpzpo7nk7sc5e">fatcat:gpnxhfeuqfgsxjpzpo7nk7sc5e</a> </span>
more »... ot capable of acquiring the information based on the common intelligence and human behavior. This survey provides a comprehensive overview of the current SNSs and discusses different possibilities of incorporating the existing SNSs into the context-aware techniques that include semantic Web, social search, and social recommendations. The context-aware computing provides services customization based on the individual human characteristics, such as human preferences, mood, behaviors, and emotions. The Integration of contextual information with SNSs can be more useful and productive for the development of the intelligent social communicational services. This survey provides several possible future research directions especially in the field of social search and recommendation that can provide better social communication capabilities. Moreover, this study will provide new directions to the future researcher for designing future generation context-based SNSs that provide services based on the on-demand collaboration. among individuals, such as communities, blogs, and social news. The media-based SNSs provide the social interaction through various multimedia formats, such as video and audio. Geo-locationbased SNSs provide location-based social communication. However, all of the aforementioned techniques lack the semantic analysis which is the most integral and crucial part of the true understanding. In [4, 1, 9, 2, 10] , the authors defined and compared different SNSs. Ref. [9, 4, 11] presented different statistical analyses of the popular SNSs, and in , the author discussed different types of the content-based SNSs. However, all of the abovementioned studies overlooked the importance of context-aware computing in the SNSs. Gartner, the most prestigious information technology and advisory company of the USA, predicted that the next generation of computers will be the context-aware computers  . Mark Weiser, chief scientist at Xerox PARC, emphasized the integration of context-enriched services, such as location and social attributes to anticipate the end users" requirements. The context-aware computing provides the services customization based on the individual human characteristics, such as human preferences, mood, behaviors, and emotions  . Moreover, the context-aware computing improves the quality of interaction by providing service oriented architecture for the social computing  . We believe that the media, geolocation, and context based SNSs can improve the traditional text-based interaction of the contentbased SNSs as presented in Figure 1 . The importance of context-based SNSs has increased in the past few decades, yet no substantial amount of research has been performed in this burgeoning area of the social computing [14, 13, 15] . The computer interactive infrastructure can be enriched by leveraging information about the users" personal context (profile, preferences, attitude, and habits) that provides sophisticated context-aware services, such as semantic-based search and recommendations. We believe that our work is the first to provide analysis of the existing content, media, and geo-location-based SNSs and their extension for adopting the context-awareness techniques for better social communication based on the evaluation of human behavior. Moreover, this study will provide new directions to the future researcher for designing context-based SNSs based on past experiences, intelligent connectivity patterns, and on-demand collaborations.
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