Análise de Redes Sociais Científicas: Modelagem Multi-relacional
Resumo
As Redes Sociais são estruturas sociais dinâmicas formadas por indivíduos ou organizações. Geralmente, essas redes são representadas por nós ligados por um ou mais tipos de relacionamentos. Embora sejam estruturas extremamente complexas, analisá-las nos permite detectar diversos tipos de conexões entre as pessoas dentro e fora de suas instituições.
Palavras-chave:
Análise de Redes Sociais, Redes Científicas, Modelagem Multi-relacional
Referências
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Bird, C., A. Gourley, et al. (2006). Mining email social networks. Proceedings of the 2006 international workshop on Mining software repositories.
Cai, D., Z. Shao, et al. (2005). Community mining from multi-relational networks. Proceedings of the 2005 European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal.
Dietrich, J., J. Dietrich, et al. (2008). "Using social networking and semantic web technology in software engineering – Use cases, patterns, and a case study." Journal of Systems and Software Volume 81(Issue 12): Pages 2183-2193.
Golbeck, J. (2005). Semantic Web Interaction through Trust Network Recommender Systems End User Semantic Web Interaction Workshop 4th International Semantic Web Conference.
Han, J. and M. Kamber (2006). Data Mining: Concepts and techniques, USA, Morgan Kaufmann Publishers.
Han, L. and H. Yan (2011). "BSN: An automatic generation algorithm of social network data." Journal of Systems and Software Volume 84(Issue 8): 1261-1269 Huang, Z., X. Li, et al. (2005). "Link Prediction Approach to Collaborative Filtering." JCDL: 141-142.
Huang, Z. and D. K. J. Lin (2009). "The time-series link prediction problem with applications in communication surveillance." INFORMS J. Computing vol. 21: 286-303.
Ichise, R., H. Takeda, et al. (2005). Community Mining Tool using Bibliography Data. Proceedings of the Ninth International Conference on Information Visualisation, IEEE.
Jackson, M. O. (2010). Social and Economic Networks, Princeton University Press.
Jung, J. J., K. Juszczyszyn, et al. (2007). "Centrality Measurement on Semantically Multiplex Social Networks: Divide-and-Conquer Approach." International Journal of Intelligent Information and Database Systems Vol. 1, No. 3/4: 277-292.
Knoke, D. and Y. Song (2008). GSocial Network Analysis.
Leskovec, J., J. Kleinberg, et al. (2005). Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations. Proceedings of the eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining.
Liben-Nowell, D. and J. Kleinberg (2007). "The Link Prediction problem for social networks." Journal of the American Society for Information Science and Technology vol. 58: 1019–1031.
Lü, L. and T. Zhou (2009). Role of weak ties in link prediction of complex networks. In Proceeding of the 1st ACM international Workshop on Complex Networks Meet information & Knowledge Management, Hong Kong.
Monclar, R. S., et al (2007). A New Approach to Balance Social Networks. Proceedings of UK Social Network Conference.
Pioch, N., F. Barlos, et al. (2005). A Link and Group Analysis Toolkit (LGAT) for Intelligence Analysis, [link].
Potgieter, A., K. A. April, et al. (2009). "Temporality in Link Prediction: Understanding Social Complexity." Journal Article E:CO vol. 11.
Raab, J. and H. Milward (2003). "Dark Networks as Problems." Journal of Public Administration Research and Theory, vol. 13, no. 4. pp 413-439.
Ryan, S. and R. V. O’Connor (2009). "Development of a team measure for tacit knowledge in software development teams." Journal of Systems and Software Volume 82(Issue 2): 229-240
Ströele, V., J. Oliveira, et al. (2009). Mining and Analyzing Multirelational Social Networks. 2009 International Conference on Social Computing (SocialCom09), Vancouver, Proceedings of International Conference on Social Computing (IEEE CS).
Tyler, J. R., D. M. Wilkinson, et al. (2003). Email as Spectroscopy: Automated Discovery of community Structure Within Organizations. Proceedings of the First International Conference on Communities and Technologies, M. Huysman,E. Wenger, V. Wulf
Bird, C., A. Gourley, et al. (2006). Mining email social networks. Proceedings of the 2006 international workshop on Mining software repositories.
Cai, D., Z. Shao, et al. (2005). Community mining from multi-relational networks. Proceedings of the 2005 European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal.
Dietrich, J., J. Dietrich, et al. (2008). "Using social networking and semantic web technology in software engineering – Use cases, patterns, and a case study." Journal of Systems and Software Volume 81(Issue 12): Pages 2183-2193.
Golbeck, J. (2005). Semantic Web Interaction through Trust Network Recommender Systems End User Semantic Web Interaction Workshop 4th International Semantic Web Conference.
Han, J. and M. Kamber (2006). Data Mining: Concepts and techniques, USA, Morgan Kaufmann Publishers.
Han, L. and H. Yan (2011). "BSN: An automatic generation algorithm of social network data." Journal of Systems and Software Volume 84(Issue 8): 1261-1269 Huang, Z., X. Li, et al. (2005). "Link Prediction Approach to Collaborative Filtering." JCDL: 141-142.
Huang, Z. and D. K. J. Lin (2009). "The time-series link prediction problem with applications in communication surveillance." INFORMS J. Computing vol. 21: 286-303.
Ichise, R., H. Takeda, et al. (2005). Community Mining Tool using Bibliography Data. Proceedings of the Ninth International Conference on Information Visualisation, IEEE.
Jackson, M. O. (2010). Social and Economic Networks, Princeton University Press.
Jung, J. J., K. Juszczyszyn, et al. (2007). "Centrality Measurement on Semantically Multiplex Social Networks: Divide-and-Conquer Approach." International Journal of Intelligent Information and Database Systems Vol. 1, No. 3/4: 277-292.
Knoke, D. and Y. Song (2008). GSocial Network Analysis.
Leskovec, J., J. Kleinberg, et al. (2005). Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations. Proceedings of the eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining.
Liben-Nowell, D. and J. Kleinberg (2007). "The Link Prediction problem for social networks." Journal of the American Society for Information Science and Technology vol. 58: 1019–1031.
Lü, L. and T. Zhou (2009). Role of weak ties in link prediction of complex networks. In Proceeding of the 1st ACM international Workshop on Complex Networks Meet information & Knowledge Management, Hong Kong.
Monclar, R. S., et al (2007). A New Approach to Balance Social Networks. Proceedings of UK Social Network Conference.
Pioch, N., F. Barlos, et al. (2005). A Link and Group Analysis Toolkit (LGAT) for Intelligence Analysis, [link].
Potgieter, A., K. A. April, et al. (2009). "Temporality in Link Prediction: Understanding Social Complexity." Journal Article E:CO vol. 11.
Raab, J. and H. Milward (2003). "Dark Networks as Problems." Journal of Public Administration Research and Theory, vol. 13, no. 4. pp 413-439.
Ryan, S. and R. V. O’Connor (2009). "Development of a team measure for tacit knowledge in software development teams." Journal of Systems and Software Volume 82(Issue 2): 229-240
Ströele, V., J. Oliveira, et al. (2009). Mining and Analyzing Multirelational Social Networks. 2009 International Conference on Social Computing (SocialCom09), Vancouver, Proceedings of International Conference on Social Computing (IEEE CS).
Tyler, J. R., D. M. Wilkinson, et al. (2003). Email as Spectroscopy: Automated Discovery of community Structure Within Organizations. Proceedings of the First International Conference on Communities and Technologies, M. Huysman,E. Wenger, V. Wulf
Publicado
17/07/2012
Como Citar
STRÖELE, Victor; ZIMBRÃO, Geraldo; SOUZA, Jano M..
Análise de Redes Sociais Científicas: Modelagem Multi-relacional. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 1. , 2012, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 13-24.
ISSN 2595-6094.
