Social, cultural, and behavioral modeling : 14th international conference, SBP-BRiMS 2021, virtual event, July 6-9, 2021, proceedings / / Robert Thomson [and three others], editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (353 pages) |
Disciplina | 302.231 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Online social networks - Psychological aspects
Interpersonal relations |
ISBN | 3-030-80387-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- COVID-Related Focus -- Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development -- 1 Introduction -- 2 Data Collection and Processing -- 3 Low Credibility Information Sources -- 4 Malicious URLs -- 5 User Co-sharing Practices -- 6 Conclusions -- References -- How Political is the Spread of COVID-19 in the United States? -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Department of Transportation Data -- 3.2 JHU CSSE COVID-19 Dataset -- 3.3 Other Sources -- 4 Methodology -- 4.1 K-Means Clustering -- 4.2 Calculating Infection Rate -- 4.3 Correlation Analysis -- 5 Analysis Results -- 5.1 Clustering US States -- 5.2 Correlation Analysis -- 5.3 Further Analysis for Travel Patterns After States' Reopening Dates -- 6 Conclusions and Future Work -- References -- Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Analysis and Results -- 5 Conclusions and Future Work -- References -- Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning -- 1 Introduction -- 2 Background -- 2.1 SIR-Based Model for Epidemic Simulation -- 2.2 Markov Decision Process -- 3 Methodology -- 3.1 Extended Model for Epidemic Simulation (SI2R) -- 3.2 Reinforcement Learning for Optimization of Regulations -- 3.3 Offline Reinforcement Learning -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Results -- 5 Conclusion -- References -- Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing -- Abstract -- 1 Introduction -- 2 Data -- 2.1 Mask-Wearing Data -- 2.2 CMU CASOS/IDeaS COVID-19 Twitter Data.
2.3 Twitter Coronavirus (COVID-19) Geo-Tagged Tweets Dataset -- 3 Pro/Con Tweets/Retweets in Four States -- 4 Stance Detection -- 5 Psychologically Valid Agents (PVAs) -- 5.1 Dynamics of Attitudes and Infection -- 5.2 Match to Data -- 6 Conclusion -- Acknowledgements -- References -- Fine-Grained Analysis of the Use of Neutral and Controversial Terms for COVID-19 on Social Media -- 1 Introduction -- 2 Related Work -- 3 Data and Methodology -- 3.1 Data Collection and Pre-processing -- 3.2 Classification -- 3.3 Latent Dirichlet Allocation -- 3.4 LIWC2015 -- 4 Empirical Results -- 4.1 Classification -- 4.2 LDA -- 4.3 LIWC Sentiment Features -- 5 Conclusion -- References -- Methodologies -- Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context -- 1 Introduction -- 2 Related Work -- 3 Datasets and Data Collection Methodology -- 4 Experiments and Findings -- 4.1 Bias Detection -- 4.2 Bias Variance -- 4.3 Findings -- 5 Conclusions and Future Work -- References -- Formal Methods for an Iterated Volunteer's Dilemma -- 1 Introduction -- 2 Background -- 2.1 The Volunteer's Dilemma -- 3 Design Overview -- 3.1 Game Parameters -- 3.2 Action Space -- 3.3 Reward Structure -- 4 Experiments and Results -- 4.1 Model Correctness -- 4.2 Property Verification -- 4.3 Reward Maximization -- 5 Limitations and Future Work -- 6 Conclusion -- References -- Privacy Preserving Text Representation Learning Using BERT -- 1 Introduction -- 2 Problem Statement -- 3 The Proposed Framework -- 3.1 Sentence Representation Using BERT -- 3.2 Perturbing Text by Adding Noise -- 3.3 Preserving Text Utility -- 3.4 Protecting Private Information -- 3.5 DPBERT - Learning the Text Representation -- 4 Experiments -- 4.1 Data -- 4.2 Experimental Design -- 4.3 Experimental Result -- 5 Related Work -- 6 Conclusion -- References. GPU Accelerated PMCMC Algorithm with System Dynamics Modelling -- 1 Introduction -- 2 Background and Related Work -- 2.1 Particle Markov Chain Monte Carlo Methods and Parallelization -- 2.2 GPU Programming and CUDA -- 3 Implementation -- 4 Using Particle MCMC in Influenza Model Inference -- 4.1 Model Description -- 4.2 Model Inference Results -- 5 Experiments and Results -- 6 Discussion -- References -- An Analysis of Global News Coverage of Refugees Using a Big Data Approach -- 1 Refugees and Other Displaced Persons in the Media -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Query -- 2.3 Limitations -- 3 Global News About Refugees -- 3.1 Refugee-Related Events Associated with Peak Coverage -- 3.2 Observing the Content CAMEO Codes of Refugee Related News -- 4 Discussion -- References -- An Identity-Based Framework for Generalizable Hate Speech Detection -- 1 Introduction -- 2 Data and Methods -- 2.1 Dataset Curation -- 2.2 An Identity Lexicon with Psycholinguistic Features -- 2.3 Problem Formulation and Experimental Setup -- 3 Results -- 3.1 Hate Speech Consistently Features Identity Abuse -- 3.2 Evaluating Identity Abuse for Hate Speech Detection -- 3.3 Mapping Cross-dataset Generalizability -- 4 Conclusions and Future Work -- References -- Using Diffusion of Innovations Theory to Study Connective Action Campaigns -- 1 Introduction -- 2 Literature Review -- 3 Data Collection and Research Methodology -- 4 Analysis and Results -- 5 Conclusions and Future Work -- References -- Reinforcement Learning for Data Poisoning on Graph Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Motivation -- 4 Methodology -- 4.1 Data Procurement -- 4.2 Graph Classification -- 4.3 Graph Neural Networks -- 4.4 Reinforcement Learning -- 4.5 Poison Attack -- 5 Experiments -- 5.1 MiniGCDataset -- 5.2 MiniGC - Larger -- 6 Conclusion. 7 Future Work -- References -- Social Cybersecurity and Social Networks -- Simulating Social-Cyber Maneuvers to Deter Disinformation Campaigns -- 1 Introduction -- 2 Related Works -- 2.1 Modeling Information and Beliefs -- 2.2 BEND Framework -- 2.3 Modeling Emotions and Reason -- 3 Model Description -- 3.1 Review of twitter_sim Features -- 3.2 Model Changes Introduced for twitter_sim2.0 -- 4 Experiments -- 4.1 Network Based Maneuvers -- 4.2 Information Based Maneuvers -- 5 Results and Discussion -- 5.1 Baseline -- 5.2 Network Maneuver -- 5.3 Information Maneuver -- 6 Validation -- 7 Conclusion -- References -- Studying the Role of Social Bots During Cyber Flash Mobs -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis -- 4 Results and Analysis -- 5 Conclusion and Future Research Directions -- References -- The Integrated Game Transformation Framework and Cyberwar: What 2×2 Games Tell Us About Cyberattacks -- 1 Introduction -- 2 Game Theory and Cyberwarfare -- 3 Methodology -- 3.1 The Integrated GTF Model -- 4 Findings -- 5 Discussion and Conclusion -- References -- Bot-Based Emotion Behavior Differences in Images During Kashmir Black Day Event -- 1 Introduction -- 2 Data and Methodology -- 2.1 Data Collection and Processing -- 2.2 Bot-Based Emotion Behavior Differences -- 2.3 Community Case Study -- 3 Results -- 3.1 Image Clusters in Kashmir's Black Day -- 3.2 Community Case Study -- 4 Discussion -- 5 Conclusion -- References -- Using Social Network Analysis to Analyze Development Priorities of Moroccan Institutions -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Dictionary Generation -- 3.2 Concern Identification -- 3.3 Network Generation -- 3.4 Evaluation -- 4 Results -- 5 Conclusion -- References -- Influence Dynamics Among Narratives -- 1 Introduction -- 2 Related Works -- 3 Data. 4 Methodology -- 4.1 Multi-Variate Hawkes Processes -- 4.2 Quantifying and Comparing Influence Effects -- 5 Results and Discussion -- References -- Network Structures and Humanitarian Need -- 1 Introduction -- 2 Humanitarian Response as a Network -- 2.1 Measuring Network Robustness -- 2.2 The International Aid Regime -- 3 Methodology -- 3.1 Data and Limitations -- 3.2 Measurements -- 4 Humanitarian Aid Under Stress -- 4.1 Divergent Donor Typologies -- 4.2 Addressing Changing Needs -- 5 Discussion -- References -- Identifying Shifts in Collective Attention to Topics on Social Media -- 1 Introduction -- 2 Related Works -- 3 Methods and Materials -- 4 Data -- 5 Experiments and Results -- 6 Conclusions -- References -- wapr.tugon.ph: A Secure Helpline for Detecting Psychosocial Aid from Reports of Unlawful Killings in the Philippines -- 1 Introduction -- 2 Review of Related Literature -- 2.1 Origins of wapr.tugon.ph -- 2.2 Providing Psychosocial Intervention During Crisis -- 2.3 Digital Psychosocial Intervention -- 2.4 Natural Language Processing Text Classification for Detecting Elements of Psychosocial Wellbeing -- 2.5 Securing Human Rights Violation Reports and Data Admissibility Through Blockchain -- 3 Framework and Methodology -- 3.1 warp.tugon.ph Architecture -- 3.2 Psychosocial Wellness Detection Model -- 4 Results and Discussion -- 4.1 Features and Functionalities of wapr.tugon.ph -- 4.2 Psychosocial Wellness Detection Model Performance -- 5 Conclusion -- References -- Human and Agent Modeling -- Social-Judgment-Based Modeling of Opinion Polarization in Chinese Live Streaming Platforms -- 1 Introduction -- 2 Model Formulation -- 3 Simulation Setup and Measurements -- 4 Results and Discussion -- 4.1 Scenario 1 -- 4.2 Scenario 2 -- 5 Conclusion -- References -- Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. 1 Introduction. |
Record Nr. | UNINA-9910488699903321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Social, cultural, and behavioral modeling : 14th international conference, SBP-BRiMS 2021, virtual event, July 6-9, 2021, proceedings / / Robert Thomson [and three others], editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (353 pages) |
Disciplina | 302.231 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Online social networks - Psychological aspects
Interpersonal relations |
ISBN | 3-030-80387-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- COVID-Related Focus -- Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development -- 1 Introduction -- 2 Data Collection and Processing -- 3 Low Credibility Information Sources -- 4 Malicious URLs -- 5 User Co-sharing Practices -- 6 Conclusions -- References -- How Political is the Spread of COVID-19 in the United States? -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Department of Transportation Data -- 3.2 JHU CSSE COVID-19 Dataset -- 3.3 Other Sources -- 4 Methodology -- 4.1 K-Means Clustering -- 4.2 Calculating Infection Rate -- 4.3 Correlation Analysis -- 5 Analysis Results -- 5.1 Clustering US States -- 5.2 Correlation Analysis -- 5.3 Further Analysis for Travel Patterns After States' Reopening Dates -- 6 Conclusions and Future Work -- References -- Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Analysis and Results -- 5 Conclusions and Future Work -- References -- Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning -- 1 Introduction -- 2 Background -- 2.1 SIR-Based Model for Epidemic Simulation -- 2.2 Markov Decision Process -- 3 Methodology -- 3.1 Extended Model for Epidemic Simulation (SI2R) -- 3.2 Reinforcement Learning for Optimization of Regulations -- 3.3 Offline Reinforcement Learning -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Results -- 5 Conclusion -- References -- Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing -- Abstract -- 1 Introduction -- 2 Data -- 2.1 Mask-Wearing Data -- 2.2 CMU CASOS/IDeaS COVID-19 Twitter Data.
2.3 Twitter Coronavirus (COVID-19) Geo-Tagged Tweets Dataset -- 3 Pro/Con Tweets/Retweets in Four States -- 4 Stance Detection -- 5 Psychologically Valid Agents (PVAs) -- 5.1 Dynamics of Attitudes and Infection -- 5.2 Match to Data -- 6 Conclusion -- Acknowledgements -- References -- Fine-Grained Analysis of the Use of Neutral and Controversial Terms for COVID-19 on Social Media -- 1 Introduction -- 2 Related Work -- 3 Data and Methodology -- 3.1 Data Collection and Pre-processing -- 3.2 Classification -- 3.3 Latent Dirichlet Allocation -- 3.4 LIWC2015 -- 4 Empirical Results -- 4.1 Classification -- 4.2 LDA -- 4.3 LIWC Sentiment Features -- 5 Conclusion -- References -- Methodologies -- Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context -- 1 Introduction -- 2 Related Work -- 3 Datasets and Data Collection Methodology -- 4 Experiments and Findings -- 4.1 Bias Detection -- 4.2 Bias Variance -- 4.3 Findings -- 5 Conclusions and Future Work -- References -- Formal Methods for an Iterated Volunteer's Dilemma -- 1 Introduction -- 2 Background -- 2.1 The Volunteer's Dilemma -- 3 Design Overview -- 3.1 Game Parameters -- 3.2 Action Space -- 3.3 Reward Structure -- 4 Experiments and Results -- 4.1 Model Correctness -- 4.2 Property Verification -- 4.3 Reward Maximization -- 5 Limitations and Future Work -- 6 Conclusion -- References -- Privacy Preserving Text Representation Learning Using BERT -- 1 Introduction -- 2 Problem Statement -- 3 The Proposed Framework -- 3.1 Sentence Representation Using BERT -- 3.2 Perturbing Text by Adding Noise -- 3.3 Preserving Text Utility -- 3.4 Protecting Private Information -- 3.5 DPBERT - Learning the Text Representation -- 4 Experiments -- 4.1 Data -- 4.2 Experimental Design -- 4.3 Experimental Result -- 5 Related Work -- 6 Conclusion -- References. GPU Accelerated PMCMC Algorithm with System Dynamics Modelling -- 1 Introduction -- 2 Background and Related Work -- 2.1 Particle Markov Chain Monte Carlo Methods and Parallelization -- 2.2 GPU Programming and CUDA -- 3 Implementation -- 4 Using Particle MCMC in Influenza Model Inference -- 4.1 Model Description -- 4.2 Model Inference Results -- 5 Experiments and Results -- 6 Discussion -- References -- An Analysis of Global News Coverage of Refugees Using a Big Data Approach -- 1 Refugees and Other Displaced Persons in the Media -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Query -- 2.3 Limitations -- 3 Global News About Refugees -- 3.1 Refugee-Related Events Associated with Peak Coverage -- 3.2 Observing the Content CAMEO Codes of Refugee Related News -- 4 Discussion -- References -- An Identity-Based Framework for Generalizable Hate Speech Detection -- 1 Introduction -- 2 Data and Methods -- 2.1 Dataset Curation -- 2.2 An Identity Lexicon with Psycholinguistic Features -- 2.3 Problem Formulation and Experimental Setup -- 3 Results -- 3.1 Hate Speech Consistently Features Identity Abuse -- 3.2 Evaluating Identity Abuse for Hate Speech Detection -- 3.3 Mapping Cross-dataset Generalizability -- 4 Conclusions and Future Work -- References -- Using Diffusion of Innovations Theory to Study Connective Action Campaigns -- 1 Introduction -- 2 Literature Review -- 3 Data Collection and Research Methodology -- 4 Analysis and Results -- 5 Conclusions and Future Work -- References -- Reinforcement Learning for Data Poisoning on Graph Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Motivation -- 4 Methodology -- 4.1 Data Procurement -- 4.2 Graph Classification -- 4.3 Graph Neural Networks -- 4.4 Reinforcement Learning -- 4.5 Poison Attack -- 5 Experiments -- 5.1 MiniGCDataset -- 5.2 MiniGC - Larger -- 6 Conclusion. 7 Future Work -- References -- Social Cybersecurity and Social Networks -- Simulating Social-Cyber Maneuvers to Deter Disinformation Campaigns -- 1 Introduction -- 2 Related Works -- 2.1 Modeling Information and Beliefs -- 2.2 BEND Framework -- 2.3 Modeling Emotions and Reason -- 3 Model Description -- 3.1 Review of twitter_sim Features -- 3.2 Model Changes Introduced for twitter_sim2.0 -- 4 Experiments -- 4.1 Network Based Maneuvers -- 4.2 Information Based Maneuvers -- 5 Results and Discussion -- 5.1 Baseline -- 5.2 Network Maneuver -- 5.3 Information Maneuver -- 6 Validation -- 7 Conclusion -- References -- Studying the Role of Social Bots During Cyber Flash Mobs -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis -- 4 Results and Analysis -- 5 Conclusion and Future Research Directions -- References -- The Integrated Game Transformation Framework and Cyberwar: What 2×2 Games Tell Us About Cyberattacks -- 1 Introduction -- 2 Game Theory and Cyberwarfare -- 3 Methodology -- 3.1 The Integrated GTF Model -- 4 Findings -- 5 Discussion and Conclusion -- References -- Bot-Based Emotion Behavior Differences in Images During Kashmir Black Day Event -- 1 Introduction -- 2 Data and Methodology -- 2.1 Data Collection and Processing -- 2.2 Bot-Based Emotion Behavior Differences -- 2.3 Community Case Study -- 3 Results -- 3.1 Image Clusters in Kashmir's Black Day -- 3.2 Community Case Study -- 4 Discussion -- 5 Conclusion -- References -- Using Social Network Analysis to Analyze Development Priorities of Moroccan Institutions -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Dictionary Generation -- 3.2 Concern Identification -- 3.3 Network Generation -- 3.4 Evaluation -- 4 Results -- 5 Conclusion -- References -- Influence Dynamics Among Narratives -- 1 Introduction -- 2 Related Works -- 3 Data. 4 Methodology -- 4.1 Multi-Variate Hawkes Processes -- 4.2 Quantifying and Comparing Influence Effects -- 5 Results and Discussion -- References -- Network Structures and Humanitarian Need -- 1 Introduction -- 2 Humanitarian Response as a Network -- 2.1 Measuring Network Robustness -- 2.2 The International Aid Regime -- 3 Methodology -- 3.1 Data and Limitations -- 3.2 Measurements -- 4 Humanitarian Aid Under Stress -- 4.1 Divergent Donor Typologies -- 4.2 Addressing Changing Needs -- 5 Discussion -- References -- Identifying Shifts in Collective Attention to Topics on Social Media -- 1 Introduction -- 2 Related Works -- 3 Methods and Materials -- 4 Data -- 5 Experiments and Results -- 6 Conclusions -- References -- wapr.tugon.ph: A Secure Helpline for Detecting Psychosocial Aid from Reports of Unlawful Killings in the Philippines -- 1 Introduction -- 2 Review of Related Literature -- 2.1 Origins of wapr.tugon.ph -- 2.2 Providing Psychosocial Intervention During Crisis -- 2.3 Digital Psychosocial Intervention -- 2.4 Natural Language Processing Text Classification for Detecting Elements of Psychosocial Wellbeing -- 2.5 Securing Human Rights Violation Reports and Data Admissibility Through Blockchain -- 3 Framework and Methodology -- 3.1 warp.tugon.ph Architecture -- 3.2 Psychosocial Wellness Detection Model -- 4 Results and Discussion -- 4.1 Features and Functionalities of wapr.tugon.ph -- 4.2 Psychosocial Wellness Detection Model Performance -- 5 Conclusion -- References -- Human and Agent Modeling -- Social-Judgment-Based Modeling of Opinion Polarization in Chinese Live Streaming Platforms -- 1 Introduction -- 2 Model Formulation -- 3 Simulation Setup and Measurements -- 4 Results and Discussion -- 4.1 Scenario 1 -- 4.2 Scenario 2 -- 5 Conclusion -- References -- Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. 1 Introduction. |
Record Nr. | UNISA-996464407403316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Social, Cultural, and Behavioral Modeling [[electronic resource] ] : 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings / / edited by Robert Thomson, Halil Bisgin, Christopher Dancy, Ayaz Hyder |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 290 p. 113 illus., 84 illus. in color.) |
Disciplina | 302.231 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Application software
Information storage and retrieval Data mining Artificial intelligence Machine learning Computer Appl. in Social and Behavioral Sciences Information Systems Applications (incl. Internet) Information Storage and Retrieval Data Mining and Knowledge Discovery Multiagent Systems Machine Learning |
ISBN | 3-030-21741-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analyzing the Dabiq Magazine: The Language and the Propaganda Structure of ISIS -- Characterizing Organizational Micro-Climates in Structural Groups -- Pro/Con: Neural Detection of Stance in Argumentative Opinions -- Modeling Gender Inequity in Household Decision-making -- Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration -- A Quantitative Portrait of Legislative Change in Ukraine -- Synthesizing Machine-Learning Datasets from Parameterizable Agents Using Constrained Combinatorial Search -- Exploiting Emojis for Sarcasm Detection -- Condorcet Optimal Clustering with Delaunay Triangulation: Climate Ones and World Happiness Insights -- Using Common Enemy Graphs to Identify Communities of Coordinated Social Media Activity -- Chronological Semantics Modeling: A Topic Evolution Approach in Online User-Generated Medical Data -- Massive-Scale Models of Urban Infrastructure and Populations -- Dynamic Resources Allocation During Natural Disasters Using Multi-Agent Environment -- Parallelizing Convergent Cross Mapping Using Apache Spark -- Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks -- Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific -- A Hybrid Cellular Model for Predicting Organizational Recruitment in a k-Dimensional Space -- A Challenging Dataset for Bias Detection: The Case of the Crisis in the Ukraine -- Does Causal Coherence Predict Online Spread of Social Media -- Detecting Disruption: Identifying Structural Changes in the Verkhovna Rada -- Lost in Online Stores? Agent-Based Modeling of Cognitive Limitations of Elderly Online Consumers -- Identifying Toxicity Within YouTube Video Comment Text Data -- Examining Intensive Groups in YouTube Commenter Networks -- User Behavioral Modeling for Fake Information Mitigation on Social Web -- Effect of E-cigarette Use and Social Network on Smoking Behavior Change: An Agent-based Model of E-cigarette and Cigarette Interaction -- Multi-Scale Simulation Modeling for Prevention and Public Health Management of Diabetes in Pregnancy and Sequelae -- Cough Detection Using Hidden Markov Models -- Modeling Belief Divergence and Opinion Polarization with Bayesian Networks and Agent-based Simulation: a Study on Traditional Healing Use in South Africa. . |
Record Nr. | UNISA-996466285903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Social, Cultural, and Behavioral Modeling [[electronic resource] ] : 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings / / edited by Robert Thomson, Halil Bisgin, Christopher Dancy, Ayaz Hyder |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 290 p. 113 illus., 84 illus. in color.) |
Disciplina | 302.231 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Application software
Information storage and retrieval Data mining Artificial intelligence Machine learning Computer Appl. in Social and Behavioral Sciences Information Systems Applications (incl. Internet) Information Storage and Retrieval Data Mining and Knowledge Discovery Multiagent Systems Machine Learning |
ISBN | 3-030-21741-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analyzing the Dabiq Magazine: The Language and the Propaganda Structure of ISIS -- Characterizing Organizational Micro-Climates in Structural Groups -- Pro/Con: Neural Detection of Stance in Argumentative Opinions -- Modeling Gender Inequity in Household Decision-making -- Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration -- A Quantitative Portrait of Legislative Change in Ukraine -- Synthesizing Machine-Learning Datasets from Parameterizable Agents Using Constrained Combinatorial Search -- Exploiting Emojis for Sarcasm Detection -- Condorcet Optimal Clustering with Delaunay Triangulation: Climate Ones and World Happiness Insights -- Using Common Enemy Graphs to Identify Communities of Coordinated Social Media Activity -- Chronological Semantics Modeling: A Topic Evolution Approach in Online User-Generated Medical Data -- Massive-Scale Models of Urban Infrastructure and Populations -- Dynamic Resources Allocation During Natural Disasters Using Multi-Agent Environment -- Parallelizing Convergent Cross Mapping Using Apache Spark -- Continuous-Time Simulation of Epidemic Processes on Dynamic Interaction Networks -- Characterizing Bot Networks on Twitter: An Empirical Analysis of Contentious Issues in the Asia-Pacific -- A Hybrid Cellular Model for Predicting Organizational Recruitment in a k-Dimensional Space -- A Challenging Dataset for Bias Detection: The Case of the Crisis in the Ukraine -- Does Causal Coherence Predict Online Spread of Social Media -- Detecting Disruption: Identifying Structural Changes in the Verkhovna Rada -- Lost in Online Stores? Agent-Based Modeling of Cognitive Limitations of Elderly Online Consumers -- Identifying Toxicity Within YouTube Video Comment Text Data -- Examining Intensive Groups in YouTube Commenter Networks -- User Behavioral Modeling for Fake Information Mitigation on Social Web -- Effect of E-cigarette Use and Social Network on Smoking Behavior Change: An Agent-based Model of E-cigarette and Cigarette Interaction -- Multi-Scale Simulation Modeling for Prevention and Public Health Management of Diabetes in Pregnancy and Sequelae -- Cough Detection Using Hidden Markov Models -- Modeling Belief Divergence and Opinion Polarization with Bayesian Networks and Agent-based Simulation: a Study on Traditional Healing Use in South Africa. . |
Record Nr. | UNINA-9910337856603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sociologia dei digital media : concetti e percorsi di ricerca tra rivoluzioni inavvertite e vita quotidiana / Marco Centorrino, Angelo Romeo |
Autore | Centorrino, Marco |
Pubbl/distr/stampa | Milano : FrancoAngeli, 2012 |
Descrizione fisica | 207 p. : graf. ; 18 cm |
Disciplina | 302.231 |
Altri autori (Persone) | Romeo, Angelo |
Collana | Scienze della comunicazione |
Soggetto non controllato | Internet - Diffusione - Aspetti sociali |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990009892900403321 |
Centorrino, Marco | ||
Milano : FrancoAngeli, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sociologia dei digital media : concetti e percorsi di ricerca, tra rivoluzioni inavvertite e vita quotidiana / Marco Centorrino, Angelo Romeo |
Autore | CENTORRINO, Marco |
Pubbl/distr/stampa | Milano : Angeli, 2012 |
Descrizione fisica | 207 p. ; 23 cm |
Disciplina | 302.231 |
Altri autori (Persone) | ROMEO, Angelo <1980- > |
Collana | SC |
Soggetto topico | Nuovi media - Sociologia |
ISBN | 978-88-204-1010-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-996228850203316 |
CENTORRINO, Marco | ||
Milano : Angeli, 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Sociologia dei media digitali : relazioni sociali e processi comunicativi del web partecipativo / Davide Bennato |
Autore | Bennato, Davide |
Pubbl/distr/stampa | Roma ; Bari : Laterza, 2011 |
Descrizione fisica | 177 p. ; 21 cm |
Disciplina | 302.231 |
Collana | Manuali Laterza |
Soggetto non controllato | Internet - Diffusione - Aspetti sociali |
ISBN | 978-88-420-9771-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990009532480403321 |
Bennato, Davide | ||
Roma ; Bari : Laterza, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Sociologia dei media digitali : relazioni sociali e processi comunicativi del web partecipativo / Davide Bennato |
Autore | BENNATO, Davide |
Pubbl/distr/stampa | Roma ; Bari : Laterza, 2011 |
Descrizione fisica | XII, 177 p. ; 21 cm |
Disciplina | 302.231 |
Collana | Manuali Laterza |
Soggetto topico | World Wide Web - Sociologia |
ISBN | 978-88-420-9771-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990003618910203316 |
BENNATO, Davide | ||
Roma ; Bari : Laterza, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Sociologia dei media digitali : relazioni sociali e processi comunicativi del web partecipativo / Davide Bennato |
Autore | Bennato, Davide |
Pubbl/distr/stampa | Roma, : GLF editori Laterza, 2011 |
Descrizione fisica | XII, 177 p. ; 21 cm. |
Disciplina | 302.231 |
Collana | Manuali Laterza |
Soggetto non controllato |
World Wide Web - Aspetti socio-culturali
World Wide Web |
ISBN | 978-88-420-9771-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Titolo uniforme | |
Record Nr. | UNIPARTHENOPE-000033541 |
Bennato, Davide | ||
Roma, : GLF editori Laterza, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Parthenope | ||
|
Sociologia dei new media / Renato Stella, Claudio Riva, Cosimo Marco Scarcelli, Michela Drusian |
Autore | Stella, Renato |
Edizione | [Seconda edizione] |
Pubbl/distr/stampa | Novara : De Agostini scuola, 2018 |
Descrizione fisica | 219 p. : tab., ill. ; 20 cm |
Disciplina | 302.231 |
Soggetto non controllato | Mezzi di comunicazione di massa digitali - Aspetti sociali |
ISBN | 978-88-6008-547-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-9910295156003321 |
Stella, Renato | ||
Novara : De Agostini scuola, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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