نتایج جستجو برای: online scientific social networks
تعداد نتایج: 1525372 فیلتر نتایج به سال:
Assessing trust in online social networks (OSNs) is critical for many applications such as marketing and network security. It a challenging problem, however, due to the difficulties of handling complex topologies conducting accurate assessment these topologies. To address challenges, we model by proposing three-valued subjective logic (3VSL) model. 3VSL properly models uncertainties that exist ...
Complex systems – when treated as systems accessible to natural sciences – pose tremendous requirements on data. Usually these requirements obstruct a scientific understanding of social phenomena on scientific grounds. Due to new developments in IT and collective human behavior, new dimensions of data sources are beginning to open up. Here we report on a complete data set of an entire society, ...
The development of users’ profiles is central for adaptive system to propose information that corresponds to user specific needs. Online social networks provide valuable information sources to collect and identify user’s information and user’s interests. This work focuses on extracting user’s interests from his social egocentric network to build the social dimension of his user profile. To impr...
What is the Destiny of Social Networking Sites Data After the Data Owners Pass Away? 12 Competition Between Global and Local Online Social Networks 14 Users Key Locations in Online Social Networks: Identification and Applications 16 Building a Spam Free Social Network 18 Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted Graphs 20 Individualism and Collectivism in Social ...
Background and Aim: The utilization of technology acceptance model is one of the ways for perceiving the users' attitudes, and this research utilizes it to investigate the factors affecting the students' encouragement to use the social network sites in order to determine which factors encourage the students to use the social network sites as a virtual learning network. Methods: This research is...
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