find your circles at ebe

26
La respuesta siempre está en la red Carlos Herrera Yagüe Alberto Asuero Arroyo FindYourCircles @findyourcircles @findyourcircles, #redes

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Smart list in facebook use user info to group user in lists. This tooks provides example how often is better to check how things connect with each than analizing things isolated

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Page 1: Find your circles at EBE

La respuesta siempre está en la red

Carlos Herrera YagüeAlberto Asuero ArroyoFindYourCircles@findyourcircles

@findyourcircles, #redes

Page 2: Find your circles at EBE

@findyourcircles

Page 3: Find your circles at EBE

@findyourcircles

Page 4: Find your circles at EBE

@findyourcircles

Page 5: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com

aprender-java.blogspot.com

¿Cómo ordeno resultados de una búsqueda en la web?

@findyourcircles

Page 6: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com

aprender-java.blogspot.com

¿Cómo ordeno resultados de una búsqueda en la web?

¿Semántica?

@findyourcircles

Page 7: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com

aprender-java.blogspot.com

¿Cómo ordeno resultados de una búsqueda en la web?

¿Semántica?

¿Número de visitas?

@findyourcircles

Page 8: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com

aprender-java.blogspot.com

¿Cómo ordeno resultados de una búsqueda en la web?

¿Semántica?

¿Número de visitas?

¿y si pinto la red de enlaces?

@findyourcircles

Page 9: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com aprender-java.blog

¿Cómo ordeno resultados de una búsqueda en la web?

@findyourcircles

Page 10: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com aprender-java.blog

¿Cómo ordeno resultados de una búsqueda en la web?

@findyourcircles

Page 11: Find your circles at EBE

java.com

en.wikipedia.org/Java

forodejava.com aprender-java.blog

¿Cómo ordeno resultados de una búsqueda en la web?

@findyourcircles

Page 12: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

@findyourcircles

Page 13: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

Nombre Edad Vive en Es de Estudió en

Victor 25 Usal

Javier 25 Madrid Salamanca Upco

Miguel 25

Pepe 25 Madrid Salamanca Uax

Ana 24 Madrid Santander Upm

Inés 25 Santander Salamanca

Alberto 25 Sevilla Huelva Uam

@findyourcircles

Page 14: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

Nombre Edad Vive en Es de Estudió enVictor 25 UsalJavier 25 Madrid Salamanca UpcoMiguel 25 SalamancaPepe 25 Madrid Salamanca UaxAna 24 Madrid Santander UpmInés 25 Santander SalamancaAlberto 25 Sevilla Huelva UamCarlos 25 Madrid Salamanca Upm

@findyourcircles

Page 15: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

@findyourcircles

Page 16: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

@findyourcircles

Page 17: Find your circles at EBE

¿Agrupar contactos en un perfil de facebook o twitter?

@findyourcircles

Page 18: Find your circles at EBE

¿Y esto solo se os ha ocurrido a vosotros?

Page 19: Find your circles at EBE

¿Y esto solo se os ha ocurrido a vosotros?

★Yong-Yeol Ahn, James P. Bagrow and Sune Lehmann, "Link communities reveal multiscale complexity in networks", Nature 455 (2010): 761--764,arxiv:0903.3178 [Lehmann's blog-post on this]★Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing, "Mixed membership stochastic blockmodels", arxiv:0705.4485★Nelson Augusto Alves, "Unveiling community structures in weighted networks", physics/0703087★Leonardo Angelini, Stefano Boccaletti, Daniele Marinazzo, Mario Pellicoro, and Sebastiano Stramaglia, "Fast identification of network modules by optimization of ratio association", cond-mat/0610182★L. Angelini, D. Marinazzo, M. Pellicoro and S. Stramaglia, "Natural clustering: the modularity approach", cond-mat/0607643★Alex Arenas, Javier Borge-Holthoefer, Sergio Gomez, Gorka Zamora-Lopez, "Optimal map of the modular structure of complex networks", New Journal of Physics 12 (2010): 053009, arxiv:0911.2651★A. Arenas, J. Duch, A. Fernandez, S. Gomez, "Size reduction of complex networks preserving modularity", physics/0702015 [Do you really need all those links? Wouldn't your life be simpler if you could just ignore some of them?]★Alex Arenas, Alberto Fernandez, Sergio Gomez, "Multiple resolution of the modular structure of complex networks", physics/0703218★Alex Arenas, Alberto Fernandez, Santo Fortunato, Sergio Gomez, "Motif-based communities in complex networks", arxiv:0710.0059★Jim Bagrow and Erik Bollt, "A Local Method for Detecting Communities",cond-mat/0412482★James Bagrow, Erik Bollt, Luciano da F. Costa, "Network Structure Revealed by Short Cycles", cond-mat/0612502★Brian Ball, Brian Karrer, M. E. J. Newman, "An efficient and principled method for detecting communities in networks", arxiv:1104.3590★Michael J. Barber, John W. Clark, "Detecting network communities by propagating labels under constraints", Physical Review E 80 (2009): 026129,arxiv:0903.3138★Jonathan W. Berry, Bruce Hendrickson, Randall A. LaViolette, Cynthia A. Phillips, "Tolerating the Community Detection Resolution Limit with Edge Weighting", arxiv:0903.1072 [I have to say that their abstract sounds like a recipe for over-fitting, but I haven't read the paper so that could be totally unfair.]★S. Boccaletti, M. Ivanchenko, V. Latora, A. Pluchino and A. Rapisarda, "Dynamical clustering methods to find community structures", physics/0607179★Michael James Bommarito II, Daniel Martin Katz, Jon Zelner, "On the Stability of Community Detection Algorithms on Longitudinal Citation Data",arxiv:0908.0449★U. Brandes, D. Delling, M. Gaertler, R. Goerke, M. Hoefer, Z. Nikoloski, and D. Wagner, "Maximizing Modularity is hard", physics/0608255 [i.e., maximizing Newman's Q is NP hard. I haven't read beyond the abstract yet, so I don't know if they address the question of what makes it hard in the hard cases, and whether those are properties we should expect to see in real-world networks. Conceivably, actual social networks are, on average, easy to modularize...]★Andrea Capocci, Vito D. P. Servedio, Guido Caldarelli, Francesca Colaiori, "Detecting communities in large networks", cond-mat/0402499★Horacio Castellini and Lilia Romanelli, "Social network from communities of electronic mail", nlin.CD/0509021★Sanjeev Chauhan, Michelle Girvan and Edward Ott, "", Physical Review E 80(2009): 056114★David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi, "Stochastic blockmodels with growing number of classes", arxiv:1011.4644★Leon Danon, Albert Díaz-Guilera, and Alex Arenas, "The effect of size heterogeneity on community identification in complex networks", Journal of Statistical Mechanics: Theory and Experiment (2006): P11010 =physics/0601144★Leon Danon, Albert Díaz-Guilera, Jordi Duch and Alex Arenas, "Comparing community structure identification", Journal of Statistical Mechanics: Theory and Experiment (2005): P09008 = cond-mat/0505245★Bhaskar DasGupta, Devendra Desai, "On the Complexity of Newman's Community Finding Approach for Biological and Social Networks",arxiv:1102.0969★Jordi Duch and Alex Arenas, "Community detection in complex networks using extremal optimization", Physical Review E 72 (2005): 027104★Lilia Efimova and Stephanie Hendrick, "In search for a virtual settlement: An exploration of weblog community boundaries" [PDF reprint]★Illes J. Farkas, Daniel Abel, Gergely Palla, Tamas Vicsek, "Weighted network modules", cond-mat/0703706★S. Feldt, J. Waddell, V. L. Hetrick, J. D. Berke, and M. Zochowski, "Functional clustering algorithm for the analysis of dynamic network data",Physical Review E 79 (2009): 056104★Daniel J. Fenn, Mason A. Porter, Mark McDonald, Stacy Williams, Neil F. Johnson, Nick S. Jones, "Dynamic communities in multichannel data: An application to the foreign exchange market during the 2007--2008 credit crisis",arxiv:0811.3988★Daniel J. Fenn, Mason A. Porter, Peter J. Mucha, Mark McDonald, Stacy Williams, Neil F. Johnson, Nick S. Jones, "Dynamical Clustering of Exchange Rates", arxiv:0905.4912★Sam Field, Kenneth A. Frank, Kathryn Schiller, Catherine Riegle-Crumb and Chandra Muller, "Identifying positions from affiliation networks: Preserving the duality of people and events", Social Networks 28 (2006): 97--123★G. W. Flake, S. R. Lawrence, C. L. Giles and F. M. Coetzee, "Self-organization and identification of Web communities", IEEE Computer 36(2002): 66--71★Santo Fortunato, "Community detection in graphs", arxiv:0906.0612★Santo Fortunato and Marc Bathélemy, "Resolution limit in community detection", physics/0607100 = cite>Proceedings of the National Academy of Sciences (USA) 104 (2007): 36--41

Page 20: Find your circles at EBE

¿Y esto solo se os ha ocurrido a vosotros?

★Yong-Yeol Ahn, James P. Bagrow and Sune Lehmann, "Link communities reveal multiscale complexity in networks", Nature 455 (2010): 761--764,arxiv:0903.3178 [Lehmann's blog-post on this]★Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing, "Mixed membership stochastic blockmodels", arxiv:0705.4485★Nelson Augusto Alves, "Unveiling community structures in weighted networks", physics/0703087★Leonardo Angelini, Stefano Boccaletti, Daniele Marinazzo, Mario Pellicoro, and Sebastiano Stramaglia, "Fast identification of network modules by optimization of ratio association", cond-mat/0610182★L. Angelini, D. Marinazzo, M. Pellicoro and S. Stramaglia, "Natural clustering: the modularity approach", cond-mat/0607643★Alex Arenas, Javier Borge-Holthoefer, Sergio Gomez, Gorka Zamora-Lopez, "Optimal map of the modular structure of complex networks", New Journal of Physics 12 (2010): 053009, arxiv:0911.2651★A. Arenas, J. Duch, A. Fernandez, S. Gomez, "Size reduction of complex networks preserving modularity", physics/0702015 [Do you really need all those links? Wouldn't your life be simpler if you could just ignore some of them?]★Alex Arenas, Alberto Fernandez, Sergio Gomez, "Multiple resolution of the modular structure of complex networks", physics/0703218★Alex Arenas, Alberto Fernandez, Santo Fortunato, Sergio Gomez, "Motif-based communities in complex networks", arxiv:0710.0059★Jim Bagrow and Erik Bollt, "A Local Method for Detecting Communities",cond-mat/0412482★James Bagrow, Erik Bollt, Luciano da F. Costa, "Network Structure Revealed by Short Cycles", cond-mat/0612502★Brian Ball, Brian Karrer, M. E. J. Newman, "An efficient and principled method for detecting communities in networks", arxiv:1104.3590★Michael J. Barber, John W. Clark, "Detecting network communities by propagating labels under constraints", Physical Review E 80 (2009): 026129,arxiv:0903.3138★Jonathan W. Berry, Bruce Hendrickson, Randall A. LaViolette, Cynthia A. Phillips, "Tolerating the Community Detection Resolution Limit with Edge Weighting", arxiv:0903.1072 [I have to say that their abstract sounds like a recipe for over-fitting, but I haven't read the paper so that could be totally unfair.]★S. Boccaletti, M. Ivanchenko, V. Latora, A. Pluchino and A. Rapisarda, "Dynamical clustering methods to find community structures", physics/0607179★Michael James Bommarito II, Daniel Martin Katz, Jon Zelner, "On the Stability of Community Detection Algorithms on Longitudinal Citation Data",arxiv:0908.0449★U. Brandes, D. Delling, M. Gaertler, R. Goerke, M. Hoefer, Z. Nikoloski, and D. Wagner, "Maximizing Modularity is hard", physics/0608255 [i.e., maximizing Newman's Q is NP hard. I haven't read beyond the abstract yet, so I don't know if they address the question of what makes it hard in the hard cases, and whether those are properties we should expect to see in real-world networks. Conceivably, actual social networks are, on average, easy to modularize...]★Andrea Capocci, Vito D. P. Servedio, Guido Caldarelli, Francesca Colaiori, "Detecting communities in large networks", cond-mat/0402499★Horacio Castellini and Lilia Romanelli, "Social network from communities of electronic mail", nlin.CD/0509021★Sanjeev Chauhan, Michelle Girvan and Edward Ott, "", Physical Review E 80(2009): 056114★David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi, "Stochastic blockmodels with growing number of classes", arxiv:1011.4644★Leon Danon, Albert Díaz-Guilera, and Alex Arenas, "The effect of size heterogeneity on community identification in complex networks", Journal of Statistical Mechanics: Theory and Experiment (2006): P11010 =physics/0601144★Leon Danon, Albert Díaz-Guilera, Jordi Duch and Alex Arenas, "Comparing community structure identification", Journal of Statistical Mechanics: Theory and Experiment (2005): P09008 = cond-mat/0505245★Bhaskar DasGupta, Devendra Desai, "On the Complexity of Newman's Community Finding Approach for Biological and Social Networks",arxiv:1102.0969★Jordi Duch and Alex Arenas, "Community detection in complex networks using extremal optimization", Physical Review E 72 (2005): 027104★Lilia Efimova and Stephanie Hendrick, "In search for a virtual settlement: An exploration of weblog community boundaries" [PDF reprint]★Illes J. Farkas, Daniel Abel, Gergely Palla, Tamas Vicsek, "Weighted network modules", cond-mat/0703706★S. Feldt, J. Waddell, V. L. Hetrick, J. D. Berke, and M. Zochowski, "Functional clustering algorithm for the analysis of dynamic network data",Physical Review E 79 (2009): 056104★Daniel J. Fenn, Mason A. Porter, Mark McDonald, Stacy Williams, Neil F. Johnson, Nick S. Jones, "Dynamic communities in multichannel data: An application to the foreign exchange market during the 2007--2008 credit crisis",arxiv:0811.3988★Daniel J. Fenn, Mason A. Porter, Peter J. Mucha, Mark McDonald, Stacy Williams, Neil F. Johnson, Nick S. Jones, "Dynamical Clustering of Exchange Rates", arxiv:0905.4912★Sam Field, Kenneth A. Frank, Kathryn Schiller, Catherine Riegle-Crumb and Chandra Muller, "Identifying positions from affiliation networks: Preserving the duality of people and events", Social Networks 28 (2006): 97--123★G. W. Flake, S. R. Lawrence, C. L. Giles and F. M. Coetzee, "Self-organization and identification of Web communities", IEEE Computer 36(2002): 66--71★Santo Fortunato, "Community detection in graphs", arxiv:0906.0612★Santo Fortunato and Marc Bathélemy, "Resolution limit in community detection", physics/0607100 = cite>Proceedings of the National Academy of Sciences (USA) 104 (2007): 36--41

135 algoritmos en el índice de U. Michigan

Page 21: Find your circles at EBE

¿Y qué aportais de nuevo?

Page 22: Find your circles at EBE

¿Y qué aportais de nuevo?

Comercialmente computable

Page 23: Find your circles at EBE

¿Y qué aportais de nuevo?

Permite solapamientos (una persona en dos grupos)

Comercialmente computable

Page 24: Find your circles at EBE

¿Y qué aportais de nuevo?

Permite solapamientos (una persona en dos grupos)

Interfaz de usuario que ayuda

Comercialmente computable

Page 25: Find your circles at EBE

¿Qué pinta tiene?

@findyourcircles

Page 26: Find your circles at EBE

@findyourcirclesDecide con quién compartes qué

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Y lo mejor...podeis probar la beta en findyourcircles.com