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A literature survey on older adults' use of social network
services and social applications
article info Article history: Received 12 October 2015 Received in revised form 18 December 2015 Accepted 19 December 2015 Available online xxx Keywords: Older adults Social network services Family Multimodal Survey
abstract :With aging, adults which once worked and were active become isolated from the world because with retirement comes a whole range of problems which span from the physical to the social scope. One of the most concerning is social isolation, which can only be fought by satisfying social needs. In terms of technology, the challenges are in designing social technologies that encourage older people to actively engage with each other and with the people around them. This paper presents a survey reviewing research surrounding the emergent field of Social Network Services (SNSs), along with other meaningful social applications, and its use by the older segment of the population. A total of thirteen domains are identified related with how these services can be improved to consider older adults characteristics: from the most important related with the family role and privacy control, to issues related with the design of the user interface, the importance of multimodal interaction and adaptive solutions to compensate agerelated declines, to several other focusing on the importance of groups, photos, cultural and health information. Main contributions to the field of SNS and older adults are given in a set of recommendations which result from discussions on each domain and which aim at the design of a more inclusive SNS solution
Analyzing negative ties in social networks: A survey
Mankirat Kaur *, Sarbjeet Singh UIET, Panjab University, Chandigarh, UT, India Received 20 February 2015; revised 18 July 2015; accepted 13 August 2015
Abstract: Online social networks are a source of sharing information and maintaining personal contacts with other people through social interactions and thus forming virtual communities online. Social networks are crowded with positive and negative relations. Positive relations are formed by support, endorsement and friendship and thus, create a network of well-connected users whereas negative relations are a result of opposition, distrust and avoidance creating disconnected networks. Due to increase in illegal activities such as masquerading, conspiring and creating fake profiles on online social networks, exploring and analyzing these negative activities becomes the need of hour. Usually negative ties are treated in same way as positive ties in many theories such as balance theory and blockmodeling analysis. But the standard concepts of social network analysis do not yield same results in respect of each tie. This paper presents a survey on analyzing negative ties in social networks through various types of network analysis techniques that are used for examining ties such as status, centrality and power measures. Due to the difference in characteristics of flow in positive and negative tie networks some of these measures are not applicable on negative ties. This paper also discusses new methods that have been developed specifically for analyzing negative ties such as negative degree, and h* measure along with the measures based on mixture of positive and negative ties. The different types of social network analysis approaches have been reviewed and compared to determine the best approach that can appropriately identify the negative ties in online networks. It has been analyzed that only few measures such as Degree and PN centrality are applicable for identifying outsiders in network. For applicability in online networks, the performance of PN measure needs to be verified and further, new measures should be developed based upon negative clique concept. 2015 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University.
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دو مقاله مروری 2015 و 2016 شبکه های اجتماعی