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Kategorie szczegółowe BISAC

Social Computing, Behavioral-Cultural Modeling and Prediction: 6th International Conference, Sbp 2013, Washington, DC, Usa, April 2-5, 2013, Proceedin

ISBN-13: 9783642372094 / Angielski / Miękka / 2013 / 535 str.

Ariel M. Greenberg; William G. Kennedy; Nathan D. Bos
Social Computing, Behavioral-Cultural Modeling and Prediction: 6th International Conference, Sbp 2013, Washington, DC, Usa, April 2-5, 2013, Proceedin Greenberg, Ariel M. 9783642372094 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Social Computing, Behavioral-Cultural Modeling and Prediction: 6th International Conference, Sbp 2013, Washington, DC, Usa, April 2-5, 2013, Proceedin

ISBN-13: 9783642372094 / Angielski / Miękka / 2013 / 535 str.

Ariel M. Greenberg; William G. Kennedy; Nathan D. Bos
cena 200,77
(netto: 191,21 VAT:  5%)

Najniższa cena z 30 dni: 192,74
Termin realizacji zamówienia:
ok. 22 dni roboczych.

Darmowa dostawa!

This book constitutes the proceedings of the 6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013, held in Washington, DC, USA in April 2013. The total of 57 contributions, which consists of papers and posters, included in this volume was carefully reviewed and selected from 137 submissions. This conference is strongly committed to multidisciplinarity, consistent with recent trends in computational social science and related fields. The topics covered are: behavioral science, health sciences, military science and information science. There are also many papers that provide methodological innovation as well as new domain-specific findings.

Kategorie:
Informatyka, Bazy danych
Kategorie BISAC:
Computers > Data Science - Data Analytics
Computers > Information Technology
Computers > Networking - Hardware
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Computer Science / Information Systems and
Język:
Angielski
ISBN-13:
9783642372094
Rok wydania:
2013
Wydanie:
2013
Numer serii:
000379988
Ilość stron:
535
Waga:
0.77 kg
Wymiary:
22.86 x 15.49 x 3.05
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Behavioral Science.- The Evolution of Paternal Care.- Parent Training Resource Allocation Optimization Using an Agent-Based Model of Child Maltreatment.- Influence and Power in Group Interactions.- The Marketcast Method for Aggregating Prediction Market Forecasts.- Peer Nominations and Its Relation to Interactions in a Computer Game.- Predicting People Personality Using Novel Mobile Phone-Based Metrics.- Moral Values from Simple Game Play.- An Agent-Based Model for Simultaneous Phone and SMS Traffic over Time.- Reconstructing Online Behaviors by Effort Minimization.- “Copping” in Heroin Markets: The Hidden Information Costs of Indirect Sales and Why They Matter.- Cultural Polarization and the Role of Extremist Agents: A Simple Simulation Model.- Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora.- Automated Trading in Prediction Markets.- Health Sciences.- Social Network Analysis of Peer Effects on Binge Drinking among U.S. Adolescents.- Feedback Dynamic between Emotional Reinforcement and Healthy Eating: An Application of the Reciprocal Markov Model.- Testing the Foundations of Quantal Response Equilibrium.- Discovering Consumer Health Expressions from Consumer-Contributed Content.- Patient-Centered Information Extraction for Effective Search on Healthcare Forum.- Controlling for Population Variances in Health and Exposure Risk Using Randomized Matrix Based Mathematical Modeling.- How Do E-Patients Connect Online? A Study of Social Support Roles in Health Social Networking.- Information Science.- Dynamic Stochastic Blockmodels: Statistical Models for Time-Evolving Networks.- LA-LDA: A Limited Attention Topic Model for Social Recommendation.- Graph Formation Effects on Social Welfare and Inequality in a Networked Resource Game.- Recommendation in Reciprocal and Bipartite Social Networks–A Case Study of Online Dating.- In You We Follow: Determining the Group Leader in Dialogue.- Pareto Distance for Multi-layer Network Analysis.- Formation of Multiple Networks.- A Flexible Framework for Probabilistic Models of Social Trust.- Coauthor Prediction for Junior Researchers.- Massive Media Event Data Analysis to Assess World-Wide Political Conflict and Instability.- Sparsification and Sampling of Networks for Collective Classification.- A Comparative Study of Social Media and Traditional Polling in the Egyptian Uprising of 2011.- Hashtag Lifespan and Social Networks during the London Riots.- A Text Cube Approach to Human, Social and Cultural Behavior in the Twitter Stream.- Mapping Cyber-Collective Action among Female Muslim Bloggers for the Women to Drive Movement.- Discovering Patterns in Social Networks with Graph Matching Algorithms.- Critiquing Text Analysis in Social Modeling: Best Practices, Limitations, and New Frontiers.- Which Targets to Contact First to Maximize Influence over Social Network.- Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks.- Identifying Influential Twitter Users in the 2011 Egyptian Revolution.- Socio-Cultural Opinion Evolution.- Who Shall We Follow in Twitter for Cyber Vulnerability?.- Respondent-Driven Sampling in Online Social Networks.- Trade-Offs in Social and Behavioral Modeling in Mobile Networks.- Privacy Protection in Personalized Web Search: A Peer Group-Based Approach.- Detecting Anomalous Behaviors Using Structural Properties of Social Networks.- Measuring User Credibility in Social Media.- Financial Crisis, Omori’s Law, and Negative Entropy Flow.- Trust Metrics and Results for Social Media Analysis.- Methodology.- Predicting Mobile Call Behavior via Subspace Methods.- Modeling the Interaction between Emergency Communications and Behavior in the Aftermath of a Disaster.- Modeling the Dynamics of Dengue Fever.- Improving Markov Chain Monte Carlo Estimation with Agent-Based Models.- Military Science.- Geographic Profiling of Criminal Groups for Military Cordon and Search.- Exploiting User Model Diversity in Forecast Aggregation.- Risk-Based Models of Attacker Behavior in Cybersecurity.



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