The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
Departamento de Sistemas Informáticos（信息系统系）；Universidad Politécnica de Madrid（马德里理工大学）；Computer Science Department（计算机科学系）；Universidad Rey Juan Carlos（胡安卡洛斯国王大学）；School of Computer Science and Engineering（计算机科学与工程学院）；Nanyang Technological University（南洋理工大学）
David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz, Antonio Gonzalez-Pardo, Erik Cambria
备注：
This paper is currently under evaluation in Information Fusion journal
Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile place to test and develop the most advanced computational techniques to extract valuable information from the Web. The main contribution of this work is three-fold: (1) we provide an up-to-date literature review of the state of the art on social network analysis (SNA);(2) we propose a set of new metrics based on four essential features (or dimensions) in SNA; (3) finally, we provide a quantitative analysis of a set of popular SNA tools and frameworks. We have also performed a scientometric study to detect the most active research areas and application domains in this area. This work proposes the definition of four different dimensions, namely Pattern & Knowledge discovery, Information Fusion & Integration, Scalability, and Visualization, which are used to define a set of new metrics (termed degrees) in order to evaluate the different software tools and frameworks of SNA (a set of 20 SNA-software tools are analyzed and ranked following previous metrics). These dimensions, together with the defined degrees, allow evaluating and measure the maturity of social network technologies, looking for both a quantitative assessment of them, as to shed light to the challenges and future trends in this active area.
SMP Challenge: An Overview of Social Media Prediction Challenge 2019
Columbia University（哥伦比亚大学）；National Chiao Tung University（国立交通大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；Microsoft Research Asia（微软亚洲研究院）；Sun Yat-sen University（中山大学）；University of Rochester（罗切斯特大学）
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge
MIT-IBM Watson AI Lab（麻省理工学院-IBM沃森人工智能实验室）；Beijing University of Posts and Telecommunications（北京邮电大学）；National Taiwan University（台湾大学）；Microsoft Research Asia（微软亚洲研究院）；International Digital Economy Academy（国际数字经济学院）；National Yang Ming Chiao Tung University（国立阳明交通大学）；University of Surrey（萨里大学）；University of Rochester（罗切斯特大学）
