DODESCADEN -- Data and cOntent DElivery in SoCial networks: An epiDEmic aNalysis.

Dodescaden involves technology, art, and society. The word "Dodescaden" stands for the sound that the train makes, as we learn in Akira Kurosawa's masterpiece which carries this name. The train which exists only in the imagination of its unemployed driver, allows that driver to pursue a regular life and also helps him to create interactions with those virtual passengers that he meets everyday.

The passengers in our project are even more virtual - they consist of data and content: symbols, letters, words and sentences that move through data highways over which social networks are built.

In the Dodescaden project we create content: paintings, music, dance videos and films. We then tweet them over social networks and help them to compete for visibility and recognition, using game theoretical models. So far, my Dodescaden project has been as virtual as the train in Kurosawa's film, and yet as present as that train is for the driver.

Publications:

[d1] "The Interplay Between Caching and Popularity", Majed Haddad and Eitan Altman, International conference on NETwork Games, December, Paris, 2011

[d2] "Game theoretic approaches for studying competition over popularity and over advertisement space in social networks", Eitan Altman, [hal-00683781 - version 1] Valuetools, 2012.

[d3] "An epidemic game between contents in a wireless network", , Eitan Altman, hal-00690347, version 1 Proc of IEEE ISWCS, August, Paris, France, 2012.

[d4] "In which Content to Specialize? A game theoretic analysis", Eitan Altman, ETICS workshop, IFIP Networking, Prague, Czech Republic, 21-25 May 2012. Lecture Notes in Computer Science, 2012, Volume 7291, Pages 121-125

[d5] "A stochastic game approach for competition over popularity in social networks", Eitan Altman, Dynamic Games and Applications, special Issue on stochastic games, Dynamic Games and Applications 3, 2 (2013) 313-323

[d6] Emergence of Equilibria from Individual Strategies in Online Content Diffusion Eitan Altman, Francesco De Pellegrini, Rachid El-Azouzi, Daniele Miorandi and Tania Jimenez: NetSciCom 2013 workshop, in conjunction with IEEE INFOCOM 2013, Torino.

[d7] Competition Over Timeline in Social Networks, Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan and Anurag Kumar, The 3rd Workshop on Social Network Analysis in Applications (SNAA 2913) in conjunction with IEEE/ACM ASONAM conference, Niagra falls, Canada, 25 Aug. 2013.

[d8] "Bio-inspired paradigms in Network Engineering Games", Eitan Altman, Journal of Dynamics and Games (JDG), Vol 1. No. 1, pp 1-15, 2014.

[d9] Strategic Posting Times over a Shared Publication Medium Eitan Altman and Nahum Shimkin, 7th International Conference on NETwork Games COntrol and OPtimization (NETGCOOP 2014), Oct 2014, Trento, Italy. 2014.

[d9] Bio-Inspired Models for Characterizing YouTube Viewcount Cedric Richier, Eitan Altman, Rachid El-Azouzi , Tania Jimenez , Georges Linares and Yonathan Portilla, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM

[d10] Trend detection in social networks using Hawkes processes Julio Cesar Louzada Pinto, Tijani Chahed and Eitan Altman, shrorter version submitted, 2015.

Other related papers:

[e1] Twitter and the Geo-linguistic fingerprint Eitan Altman and Yonathan Portilla, Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August, Istanbul, August 2012 [pdf]. See also [hal-00674853 - version 2]

[e2] "Probabilistic Analysis of Buffer Starvation in Markovian Queues", [pdf] Yuedong Xu, Eitan Altman, Rachid El-Azouzi, Majed Haddad, Salah Eddine Elayoubi and Tania Jimenez, The 31st Annual IEEE International Conference on Computer Communications (INFOCOM'2012), Orlando, Florida, USA, 25 march, 2012

[e3] Analysis of Media Streaming in Wireless Data Networks, Yuedong Xu, Eitan altman, Rachid El-Azouzi, Salaheddine Elayoubi and Majed Haddad, Networking, Prague, Czech Republic, 21-25 May 2012. Lecture Notes in Computer Science, 2012, Volume 7290, Pages 343-354

[e4] Flash Reactivity: Adaptative models in recommender systems, Julien Gaillard, Marc El-Beze, Eitan Altman and Emmanuel Ethis The 9th International Conference on Data Mining (DMIN), Las Vegas, USA,

[e5] "Well-argued recommendation: adaptive models based on words in recommender systems", Julien Gaillard, Marc El-Beze, Eitan Altman and Emmanuel Ethis, The 2013 Conference on Empirical Methods on Natural Language Processing. (EMNLP) October 18-21, Seattle, USA, 2013.

[e6] Social Networks: A Cradle of Globalized Culture in the Mediterranean Region. Eitan Altman, Yonathan Portilla, International Conference on Advances in Social Networks Analysis and Mining (ICASNAM 2015), Jan 2015, Hammamet, Tunisia. 2015, <10.2139/ssrn.2518683>

[e7] Activation Games in Online Dating Platforms Eitan Altman, Francesco De Pellegrini and Huijuan Wang, IEEE ICC 2015 - Workshop on Dynamic SOcial Networks (DySON), Jun 2015, London, United Kingdom.

[e8] Activation Games in Online Dating Platforms, Eitan Altman, Francesco De Pellegrini, Huijuan Wang.

Sample of recent content created within Dodescaden:



By creating our own content, we have access to many more details on the dissemination of this content which Youtube provides us with.

For more content, see my two Youtube channels: Art creation (music and painting) as well as Dance and Singing See my daughter's youtube page






A video tutorial on Analysis of Social Networks,
by Eitan Altman, Venezuelian Informatics School (EVI),
in the Engineering department, ULA, Venezuela,
30 Sept - Oct 4, 2013.

1, Introduction 9:38 min,
2. Game theoretical tools Video (mp4 27:32 min) , Slides (pdf).
3. Mathematics of population dynamics 15.34 min
4. Recommendation graphs 22:21 min
5. Semi-dynamic advertising game 12:26 min
6. Stochastic games, 35:57 min
7. Stochastic advertisement games, 37:24 min
8. Evolution of Languages on Twitter, 14:59 min.
9. Competition on walls and on group timelines 32:28 min.
10.
Population Games and routing to Groups in Social Networks 31:33 min.

DODESCADEN