Frank Room of the UVM Davis Center
University of Vermont, Burlington, Vermont, USA
Tuesday, May 28th 2019 1:45pm–5:30pm
The Dynamics On and Of Complex Networks (DOOCN) workshop series, aims on exploring statistical dynamics on and of complex networks. Dynamics on networks refers to the different types of processes that take place on networks, like spreading, diffusion, and synchronization. Modeling such processes is strongly affected by the topology and temporal variation of the network structure, i.e., by the dynamics of networks. Recently, machine learning techniques have been used to model dynamics of massively large complex networks generated from big data, and the various functionalities resulting from the networks. This motivates us to focus on “Network Representation Learning” as the significant topic of interest in the 2019 edition.
Network Representation Learning or Graph Embedding is a technique that aims to compute vector space representations of nodes and edges of a network, that capture their relations semantically. Recently Network Representation Learning has seen a lot of research focus from the Network Science community for its ability to automatically capture different sorts of complex semantic relations between components of a graph without explicit programming.
The 12th edition of the DOOCN workshop, “DOOCN-XII: Network Representation Learning” will be held in conjunction with the upcoming NetSci 2019 conference, which will take place during 27–31 May 2019, in Burlington, Vermont, USA.
The first Dynamics On and Of Complex Networks (DOOCN I) took place in Dresden, Germany, on 4th October 2007, as a satellite workshop of the European Conference on Complex Systems 07. The workshop received a large number of quality submissions from authors pursuing research in multiple disciplines, thus making the forum truly inter-disciplinary. There were around 20 speakers who spoke about the dynamics on and of different systems exhibiting a complex network structure, from biological systems, linguistic systems, and social systems to various technological systems like the Internet, WWW, and peer-to-peer systems. The organizing committee has published some of the very high quality original submissions as an edited volume from Birkhauser, Boston describing contemporary research position in complex networks.
After the success of DOOCN I, the organizers launched Dynamics On and Of Complex Networks – II (DOOCN II), a two days satellite workshop of the European Conference of Complex Systems 08. DOOCN II was held in Jerusalem, Israel, on the 18th and 19th September 2008.
DOOCN III was held as a satellite of ECCS 2009 in the University of Warwick, UK on 23rd and 24th of September. In continuation, DOOCN IV was held again as a satellite of ECCS 2010 in the University Institute Lisbon, Portugal on 16th September.
DOOCN V was held as a satellite of ECCS 2011 in the University of Vienna on 14th – 15th September 2011.
DOOCN VI took place in Barcelona, as a satellite to ECCS 2013, and focused on Semiotic Dynamics in time-varying social media. As DOOCN I, the other five DOOCN workshops counted with a large number participants and attracted prominent scientist in the field.
The 9th edition of DOOCN was held in Amsterdam at Conference on Complex Systems (CCS) with the theme “Mining and learning for complex networks”.
The 2017 edition of DOOCN was held in Indianapolis USA in conjunction with NetSci 2017.
The 2018 edition of DOOCN XI was held in Thessaloniki, Greece at Conference on Complex Systems (CCS) with the theme “Machine learning for complex networks”.
The organizing committees of the DOOCN workshop series have published three Birkhäuser book volumes, from selected talks from the series.