Big Social Data and Urban Computing: First Workshop, BiDU 2018, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers (Communications in Computer and Information Science Book 926)

This book constitutes the thoroughly refereed proceedings of the First Big Social Data and Urban Computing Workshop, BiDU 2018, held in Rio de Janeiro, Brazil, in August 2018. The 11 full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on urban mobility, urban sensing, contemporary social problems, collaboration and crowdsourcing. BiDU – Workshop on Big Social Data and Urban Computing 6 Organization 8 Contents 10 Urban Mobility 12 Characterizing Usage Patterns and Service Demand of a Two-Way Car-Sharing System 13 1 Introduction 13 2 Car-Sharing System Basic Model 15 3 Dataset and Methodology 17 4 Characterizing the Car-Sharing Usage 19 4.1 Service Temporal Characteristics 19 4.2 Service Spacial-Temporal Characteristics 22 4.3 User Behavior Characterization 22 5 Related Work 25 6 Conclusions and Future Work 26 References 26 MobilityMirror: Bias-Adjusted Transportation Datasets 28 1 Introduction 28 2 Related Work 31 3 Model and Algorithm 33 3.1 Background on Causality 34 3.2 Algorithm 35 4 Applications and Datasets 36 5 Experiments 37 5.1 Evaluation Metrics 38 5.2 Synthetic Ride Hailing Data 40 5.3 Real-World Bike and Taxi Datasets 40 5.4 Aggregated Origin-Destination Data 41 6 Interactions with Privacy 42 7 Conclusions and Future Work 47 References 47 MODAL - A Platform for Mobility Analyses Using Open Datasets 50 1 Introduction 50 2 Related Work 52 3 Methodology 53 3.1 MODAL 53 3.2 Study Case Analysis 55 4 Results 56 5 Conclusions and Future Works 63 References 64 Urban Sensing 66 Mensageria: A Smart City Framework for Real-Time Analysis of Traffic Data Streams 67 1 Introduction 67 2 Context and Fundamental Concepts 69 2.1 Big Data in Smart Cities 69 2.2 Complex Event Processing 70 3 Architecture 70 3.1 API Integration and Database Schema 71 3.2 Data Stream Processing 73 3.3 Implementation 74 4 Case Study 75 4.1 Performance 76 5 Related Works 77 6 Conclusions 78 References 80 SLEDS: A DSL for Data-Centric Storage on Wireless Sensor Networks 82 1 Introduction 82 2 Related Work 84 3 SLEDS: The Language 85 3.1 Syntax 85 3.2 Translation to NS2 88 4 Validation 92 4.1 LEACH Coordinator Component Implementation 92 5 Conclusion 95 References 95 Extraction and Exploration of Business Categories Signatures 98 1 Introduction 98 2 Related Works 99 3 Data Collection and Procedures 101 4 Clustering and Signatures Generation 102 4.1 Time Series Clustering 102 4.2 Signature Generation 103 5 Results 104 5.1 Clusters and Signatures 104 5.2 Category Inference 107 6 Meta-category Validation 109 7 Conclusion 110 References 111 Contemporary Social Problems 113 Comparing Emotional Reactions to Terrorism Events on Twitter 114 1 Introduction 114 2 Related Work 116 3 Materials and Methods 117 3.1 Dataset 117 3.2 Emotion Gold Standard 119 3.3 Classification 120 4 Emotion Classification Experiments 120 5 Analysis 121 5.1 Q1: Is There an Emotion Shift Due to Terrorism Events? 121 5.2 Q2: Do Different Terrorism Events Raise the Same Emotional Reaction? 123 5.3 Q3: Does User Location Have an Impact on the Emotional Reaction? 125 5.4 Q4: Does the Number of People Affected by the Event Have an Impact on the Emotional Reaction? 125 5.5 Q5: Are There Differences on How Emotions are Expressed According to the Event? 126 6 Conclusion 128 References 128 Using Government Data to Uncover Political Power and Influence of Contemporary Slavery Agents in Brazil 130 Abstract 130 1 Introduction 130 2 Data About Brazilian Politicians and Slavery in Brazil 132 2.1 Contemporary Slavery in Brazil and Available Data 132 2.2 Data About Elections and Campaign Donations 134 3 Network Power Metrics and Linked Open Data 134 3.1 Metrics to Measure Power 135 3.2 Building a Network 136 3.3 Linked Open Data and a Knowledge Graph to Explore Slavery Data 138 4 Results: Connections Between Politicians and Slavery Agents 139 5 Conclusion 144 Acknowledgments 144 References 144 Collaboration and Crowdsourcing 146 CidadeSocial: An Application Software for Opportunistic and Collaborative Engagement of Urban Populations 147 Abstract 147 1 Introduction 147 2 Related Work 149 3 CidadeSocial 150 3.1 From Universities to Cities 150 3.2 Cidade Social Feature Description 150 3.3 The CidadeSocial Architecture 152 4 Example of Use 157 5 Final Considerations and Future Works 159 References 160 Structures of Interactions and Data in Urban Networks: The Case of PortoAlegre.cc 162 Abstract 162 1 Introduction 162 2 Urban Networks and Social Data 164 3 PortoAlegre.cc 165 4 Methodology 167 5 Results 168 5.1 Neighbourhoods Network 170 5.2 Volunteers Network 172 6 Considerations 174 References 175 DMEK: Improving Profile Matching in Opportunistic Collaborations 177 1 Introduction 177 2 Basic Concepts 179 2.1 The Mobile Exchange of Knowledge 179 2.2 The Profile Matching Problem 180 2.3 Dempster-Shafer 180 3 Related Works 182 4 DMEK: Improving Profile Matching 182 5 Implementation and Experimental Evaluation 183 5.1 Implementation Details and Scenario 183 5.2 Scenario 185 5.3 Metrics 186 5.4 Evaluation Results for Profile Matching Methods 186 5.5 Execution Times 188 6 Conclusion 189 References 189 Author Index 191 Front Matter ....Pages I-X Front Matter ....Pages 1-1 Characterizing Usage Patterns and Service Demand of a Two-Way Car-Sharing System (Felipe Rooke, Victor Aquiles, Alex Borges Vieira, Jussara M. Almeida, Idilio Drago)....Pages 3-17 MobilityMirror: Bias-Adjusted Transportation Datasets (Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe)....Pages 18-39 MODAL - A Platform for Mobility Analyses Using Open Datasets (Wender Zacarias Xavier, Humberto Torres Marques-Neto)....Pages 40-55 Front Matter ....Pages 57-57 Mensageria: A Smart City Framework for Real-Time Analysis of Traffic Data Streams (Marcos Roriz Junior, Rafael Pereira de Oliveira, Felipe Carvalho, Sergio Lifschitz, Markus Endler)....Pages 59-73 SLEDS: A DSL for Data-Centric Storage on Wireless Sensor Networks (Marcos Aurélio Carrero, Martin A. Musicante, Aldri Luiz dos Santos, Carmem S. Hara)....Pages 74-89 Extraction and Exploration of Business Categories Signatures (Leonardo de Assis da Silva, Thiago H. Silva)....Pages 90-104 Front Matter ....Pages 105-105 Comparing Emotional Reactions to Terrorism Events on Twitter (Jonathas G. D. Harb, Karin Becker)....Pages 107-122 Using Government Data to Uncover Political Power and Influence of Contemporary Slavery Agents in Brazil (Letícia Dias Verona, Giseli Rabello Lopes, Maria Luiza Machado Campos)....Pages 123-138 Front Matter ....Pages 139-139 CidadeSocial: An Application Software for Opportunistic and Collaborative Engagement of Urban Populations (Ana Clara Correa, Eliel Roger, Tiago Cruz de França, José O. Gomes, Jonice Oliveira)....Pages 141-155 Structures of Interactions and Data in Urban Networks: The Case of PortoAlegre.cc (Pablo Vieira Florentino, Gilberto Corso Pereira)....Pages 156-170 DMEK: Improving Profile Matching in Opportunistic Collaborations (José Guilherme Mayworm, Jonice Oliveira, Fabrício Firmino, Claudio M. de Farias)....Pages 171-184 Back Matter ....Pages 185-185