p-Norm Broad Learning for Negative Emotion Classification in Social Networks by Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

Subjects: “…social networks…”
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Spammer detection technology of social network based on graph convolution network by Qiang QU, Hongtao YU, Ruiyang HUANG

“…In social networks,Spammer send advertisements that are useless to recipients without the recipient's permission,seriously threatening the information security of normal users and the credit system of social networking sites.In order to solve problems of extracting the shallow features and high computational complexity for the existing Spammer detection methods of social networks,a Spammer detection technology based on graph convolutional network(GCN) was proposed.Based on the network structure information,the method introduces the network representation learning algorithm to extract the network local structure feature,and combines the GCN algorithm under the re-regularization technology condition to obtain the network global structure feature to achieve the goal of detecting Spammer.Experiments are done on social network data of Tagged.com.The results show that this method has high accuracy and efficiency.…”
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A social network study of the growth of community among distance learners by Caroline Haythornthwaite

Subjects: “…social networks…”
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Social Network Community-Discovery Algorithm Based on a Balance Factor by Lizhao Liu, Xiaomei Shu, Biao Cai

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Complexity of a Microblogging Social Network in the Framework of Modern Nonlinear Science by Andrey Dmitriev, Vasily Kornilov, Svetlana Maltseva

“…We offer a new model of a microblogging social network as a nonlinear random dynamical system with additive noise in three-dimensional phase space. …”
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Research on Large-Scale Social Network Graph Data Mining in Telecommunication by Lijiao Liu, Juncai Tao, Xiaojun Xiao, Yu Lu

“…With the development of the telecommunications technology, telephone call network almost covered the whole society; the huge social network presents tremendous opportunities for telecommunication companies. …”
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New phraseological units with word soul (on the material of the social network «Instagram») by S. N. Glazkova, A. A. Rodina

“…The article considers a new linguistic phenomenon, widely spread in social networks — «hashtag». A plan of the expression and a plan of the content of hashtags are analyzed in social networks. …”
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Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks by Chenquan Gan, Qingyi Zhu, Wei Wang, Jianxin Li

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Social network analysis in healthcare settings: a systematic scoping review. by Duncan Chambers, Paul Wilson, Carl Thompson, Melissa Harden

“…<h4>Background</h4>Social network analysis (SNA) has been widely used across a range of disciplines but is most commonly applied to help improve the effectiveness and efficiency of decision making processes in commercial organisations. …”
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Information Filtering via Biased Random Walk on Coupled Social Network by Da-Cheng Nie, Zi-Ke Zhang, Qiang Dong, Chongjing Sun, Yan Fu

“…In this paper, we design a biased random walk algorithm on coupled social networks which gives recommendation results based on both social interests and users’ preference. …”
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Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks by Yaming Zhang, Chaosheng Tang, Li Weigang

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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

Subjects: “…social networks…”
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Identifying and Ranking Security Indicators in Online Social Networks with an MADM Technique by Hamed Fathi, Alireza Amini

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A Social Network Lens to Community Health Worker Influence and Impact by Reza Yousefi Nooraie, Deniz Naghibi, Ruthmarie Hernández-Torres, Paula Cupertino

“…They use their formal and informal social networks to promote healthy behavior, to connect community members to resources, and to build more resilient community networks. …”
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A Literature Review of Social Network Analysis in Epidemic Prevention and Control by Xiaomei Wang, Qi An, Zilong He, Wei Fang

“…Studying the structure and evolution characteristics of social networks is of great significance in assessing and controlling the outbreak of infectious diseases. …”
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Efficient Sample Location Selection for Query Zone in Geo-Social Networks by Kejian Tang, Shaohui Zhan, Tao Zhan, Hui Zhu, Qian Zeng, Ming Zhong, Xiaoyu Zhu, Yuanyuan Zhu, Jianxin Li, Tieyun Qian

“…While promoting a business or activity in geo-social networks, the geographical distance between its location and users is critical. …”
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Social network information diffusion model based on user’s influence and interesting by Rui WANG, Yong LIU, Jing-hua ZHU, Ping XUAN, Jin-bao LI

“…A new non-topological information diffusion model of social network was proposed,called non-topological influence-interest diffusion model (NT-II).Representation learning was exploited to construct two hidden spaces for NT-II，called the user-influence space and the user-interest space,each user and each propagation item was mapped into a vector in space.The model predicted the probability of a user receiving a propagated item,considering not only the degree of influence from other users,but also the user's preference for propagated item.The experimental results show that the model can simulate the propagation process and predict the propagation results more accurately.…”
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Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

“…Instagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. …”
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Providing a development model for the effectiveness of persuasive advertising in social networks by Hamzeh Hessani Khabr, Payam Paslari, Mehdi Bagheri, Saeed Muradpour

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Drivers influencing the adoption of cryptocurrency: a social network analysis approach by K. Kajol, Srijanani Devarakonda, Ranjit Singh, H. Kent Baker

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