Complexity Social Big Data: Mining, Applications, and Beyond Lead Guest Editor: Xiuzhen Zhang Guest Editors: Shuliang Wang, Gao Cong, and Alfredo Cuzzocrea Social Big Data: Mining, Applications, and Beyond Complexity Social Big Data: Mining, Applications, and Beyond Lead Guest Editor: Xiuzhen Zhang Guest Editors: Shuliang Wang, Gao Cong, and Alfredo Cuzzocrea Copyright © 2019 Hindawi. All rights reserved. This is a special issue published in “Complexity.” All articles are open access articles distributed under the Creative Commons Attribu- tion License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board José A. Acosta, Spain Carlos Gershenson, Mexico Irene Otero-Muras, Spain Carlos F. Aguilar-Ibáñez, Mexico Peter Giesl, UK Yongping Pan, Singapore Mojtaba Ahmadieh Khanesar, UK Sergio Gómez, Spain Daniela Paolotti, Italy Tarek Ahmed-Ali, France Lingzhong Guo, UK Cornelio Posadas-Castillo, Mexico Alex Alexandridis, Greece Xianggui Guo, China Mahardhika Pratama, Singapore Basil M. Al-Hadithi, Spain Sigurdur F. Hafstein, Iceland Luis M. Rocha, USA Juan A. Almendral, Spain Chittaranjan Hens, Israel Miguel Romance, Spain Diego R. Amancio, Brazil Giacomo Innocenti, Italy Avimanyu Sahoo, USA David Arroyo, Spain Sarangapani Jagannathan, USA Matilde Santos, Spain Mohamed Boutayeb, France Mahdi Jalili, Australia Josep Sardanyés Cayuela, Spain Átila Bueno, Brazil Jeffrey H. Johnson, UK Ramaswamy Savitha, Singapore Arturo Buscarino, Italy M. Hassan Khooban, Denmark Hiroki Sayama, USA Guido Caldarelli, Italy Abbas Khosravi, Australia Michele Scarpiniti, Italy Eric Campos-Canton, Mexico Toshikazu Kuniya, Japan Enzo Pasquale Scilingo, Italy Mohammed Chadli, France Vincent Labatut, France Dan Selişteanu, Romania Émile J. L. Chappin, Netherlands Lucas Lacasa, UK Dehua Shen, China Diyi Chen, China Guang Li, UK Dimitrios Stamovlasis, Greece Yu-Wang Chen, UK Qingdu Li, Germany Samuel Stanton, USA Giulio Cimini, Italy Chongyang Liu, China Roberto Tonelli, Italy Danilo Comminiello, Italy Xiaoping Liu, Canada Shahadat Uddin, Australia Sara Dadras, USA Xinzhi Liu, Canada Gaetano Valenza, Italy Sergey Dashkovskiy, Germany Rosa M. Lopez Gutierrez, Mexico Dimitri Volchenkov, USA Manlio De Domenico, Italy Vittorio Loreto, Italy Christos Volos, Greece Pietro De Lellis, Italy Noureddine Manamanni, France Zidong Wang, UK Albert Diaz-Guilera, Spain Didier Maquin, France Yan-Ling Wei, Singapore Thach Ngoc Dinh, France Eulalia Martínez, Spain Honglei Xu, Australia Jordi Duch, Spain Marcelo Messias, Brazil Yong Xu, China Marcio Eisencraft, Brazil Ana Meštrović, Croatia Xinggang Yan, UK Joshua Epstein, USA Ludovico Minati, Japan Baris Yuce, UK Mondher Farza, France Ch. P. Monterola, Philippines Massimiliano Zanin, Spain Thierry Floquet, France Marcin Mrugalski, Poland Hassan Zargarzadeh, USA Mattia Frasca, Italy Roberto Natella, Italy Rongqing Zhang, USA José Manuel Galán, Spain Sing Kiong Nguang, New Zealand Xianming Zhang, Australia Lucia Valentina Gambuzza, Italy Nam-Phong Nguyen, USA Xiaopeng Zhao, USA Bernhard C. Geiger, Austria B. M. Ombuki-Berman, Canada Quanmin Zhu, UK Contents Social Big Data: Mining, Applications, and Beyond Xiuzhen Zhang , Shuliang Wang , Gao Cong, and Alfredo Cuzzocrea Editorial(2pages),ArticleID2059075,Volume2019(2019) A Multi-Granularity Backbone Network Extraction Method Based on the Topology Potential Hanning Yuan, Yanni Han ,NingCai,andWeiAn Research Article (8 pages), Article ID 8604132, Volume 2018 (2019) Behavior-Interior-Aware User Preference Analysis Based on Social Networks Can Wang, Tao Bo, Yun Wei Zhao ,Chi-HungChi,Kwok-YanLam,SenWang,andMinShu Research Article (18 pages), Article ID 7371209, Volume 2018 (2019) Supervised Learning for Suicidal Ideation Detection in Online User Content Shaoxiong Ji , Celina Ping Yu, Sai-fu Fung, Shirui Pan ,andGuodongLong Research Article (10 pages), Article ID 6157249, Volume 2018 (2019) Weibo Attention and Stock Market Performance: Some Empirical Evidence Minghua Dong, Xiong Xiong, Xiao Li, and Dehua Shen Research Article (8 pages), Article ID 9571848, Volume 2018 (2019) A Trip Purpose-Based Data-Driven Alighting Station Choice Model Using Transit Smart Card Data Kai Lu , Alireza Khani, and Baoming Han Research Article (14 pages), Article ID 3412070, Volume 2018 (2019) A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks Vanja Smailovic ,VedranPodobnik , and Ignac Lovrek Research Article (20 pages), Article ID 1084795, Volume 2018 (2019) Self-Adaptive -Means Based on a Covering Algorithm Yiwen Zhang , Yuanyuan Zhou ,XingGuo ,JintaoWu,QiangHe,XiaoLiu ,andYunYang Research Article (16 pages), Article ID 7698274, Volume 2018 (2019) Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation Wei Jiang , Qian Lv, Chenggang Yan, Kewei Tang, and Jie Zhang Research Article (16 pages), Article ID 7963210, Volume 2018 (2019) AIRank: Author Impact Ranking through Positions in Collaboration Networks Jun Zhang, Yan Hu , Zhaolong Ning, Amr Tolba , Elsayed Elashkar, and Feng Xia Research Article (16 pages), Article ID 4697485, Volume 2018 (2019) Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation Ling Yuan ,DanLi ,ShikangWei , and Mingli Wang Research Article (12 pages), Article ID 5321280, Volume 2018 (2019) Hindawi Complexity Volume 2019, Article ID 2059075, 2 pages https://doi.org/10.1155/2019/2059075 Editorial Social Big Data: Mining, Applications, and Beyond Xiuzhen Zhang ,1 Shuliang Wang ,2 Gao Cong,3 and Alfredo Cuzzocrea4 1 RMIT University, Australia 2Beijing Institute of Technology, China 3Nanyang Technological University, Singapore 4University of Trieste, Italy Correspondence should be addressed to Xiuzhen Zhang; [email protected] and Shuliang Wang; [email protected] Received 28 October 2018; Accepted 5 December 2018; Published 1 January 2019 Copyright © Xiuzhen Zhang et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. e social nature of Web . leads to the unprece- Suicidal Ideation Detection in Online User Content”, dented growth of discussion forums, product review sites, “Weibo Attention and Stock Market Performance: microblogging, and other social media platforms. Existing Some Empirical Evidence”, and “A Trip Purpose- social media data mining research can be broadly divided Based Data-Driven Alighting Station Choice Model into two groups. e content-based approach focuses on Using Transit Smart Card Data”. extracting insights from user generated contents on various social media platforms. e network-based approach focuses (ii) Two machine learning methodological papers for on extracting knowledge by analyzing the networks from the cluster analysis and data representation learning are interactions among online users. included, namely, “Self-Adaptive k-Means Based on e rich user- and device-generated data and user inter- a Covering Algorithm” and “Robust Semisupervised actions generate complex social big data that is different from Nonnegative Local Coordinate Factorization for Data classical structured attribute-value data. e data objects Representation”. take various forms including unstructured text, geo-tagged dataobjects,anddataobjectstreams.esocialnetworks (iii) ree papers reported research results on social formed from interactions among data objects also carry rich network analysis for information credibility and information for analyzing user behavior. social influence, ranging from “Research of Deceptive In this special issue, we have invited state-of-the-art Review Detection Based on Target Product Identi- research contributions addressing prominent research issues fication and Metapath Feature Weight Calculation” forsocialbigdatatoadvanceourknowledgeinsocialbig and “Behavior-Interior-Aware User Preference Anal- data mining and analytics and extend the knowledge to ysis Based on Social Networks” to “AIRank: Author related disciplines. We received submissions from across Impact Ranking through Positions in Collaboration the world. A er a rigorous reviewing process, we finally Networks”. accepted papers. e accepted papers address challenging (iv) Two papers, “A Multi-Granularity Backbone Network issues for the social big data technology, ranging from novel Extraction Method Based on the Topology Potential” data mining applications from complex data and general and “A Methodology for Evaluating Algorithms at methodological machine learning models to network analysis CalculateSocialInfluenceinComplexSocialNet- and evaluation. works”, address the under investigated issues of net- (i) ree papers proposed advanced data mining tech- work summarization and social influence evaluation. niques for novel applications using user- and device- e research results can benefit network analysis in generated data, including “Supervised Learning for general and social network analysis specifically. Complexity In the modern digital society, the mobile network and the Internet of ings are transforming what is meant to be social online. Humans, everyday objects, and smart devices interact and form an intelligent social network that is a highly adaptive complex system. e papers in this special issue are mainly contributed by the data science, machine learning, and network science communities. Research results