… physical domains and had less focus on social network perspectives. To reduce the gap of …
applications in different social network contexts and analyses, focusing on social networks. In …

… However, while people enjoy social networks, many deceptive activities such as … social
networks has become a global risk. Therefore, misinformation detection (MID) in social networks …

… Based on the user behavior on social network platform, we have collected multiple features
that can help and share information to predict malicious content in the form of fake news. …

… Social network based applications have experienced … review of the state of the art on social
network analysis (SNA); (2) … measure the maturity of social network technologies, looking for …

… social networks. What is more, we propose a classification of them based on when and how
they use and fuse network … detection in node-attributed social networks. We further briefly …

… We use a sentiment analysis approach for the aforementioned two tasks. Therefore, it is …
of social networking data and webpage contents, we use SentiWordNet (SWN) to identify the …

… tralized approach to online social networking. With this … social networking service. This
can provide the same or even higher level of user interaction as with many of the popular social …

… extract valuable information from social networking data. In this paper, a social network–based, …
effectively collects traffic information from social networks, and the data preprocessing …

… The purpose of this study is to identify the factors leading to adoption of social networking
sites (… Identification of these adoption factors will help to design SNS in the way that led to their …

… defined and empirically investigated through a social network analysis (SNA) approach. The
article is specially focused on understanding the use of mobile instant messaging services (…