DYNO 2018 : International Workshop on Dynamics On & Of Networks (4th edition of)
Call For Papers
Call for Papers
DyNo 2018: 4th International Workshop on Dynamics on and of Networks
(In conjunction with the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM)
August 28, 2018, Barcelona, Spain
Monday, April 30, 2018 (11:59 PM American Samoa Zone (UTC-11)): Due date for paper submission
Monday, June 18, 2018: Notification of paper acceptance to authors
Sunday, July 1, 2018: Camera-ready deadline for accepted papers
Topics of interest to the workshop
Topics of interest to the workshop include, but are not limited to, the following:
- Dynamic Social Network Analysis
- Dynamic network embedding
- Network event detection
- Time-aware link prediction
- Evolutionary community / cluster discovery
- Dynamic network visualization
- Dynamic network generative models
- Dynamical processes on networks
- Diffusion of information and innovations
- Epidemic models on graphs
- Higher order networks
- Markovian dynamics on networks
- Signal processing on graph
- Random walk processes
We will consider to organize a special issue on the Elsevier Online Social Networks and Media Journal (https://www.journals.elsevier.com/online-social-networks-and-media/), soliciting submissions of extended versions of particularly promising papers.
DyNo encourages two types of submissions:
- Full Papers (up to 8 pages)
- Disruptive Papers (up to 2 pages)
The maximum length of full papers is 8 pages using the IEEE two-column template while for Disruptive Papers the limit is fixed to 2 pages.
"Disruptive" papers will be of maximum 2 pages. They would primarily propose a disruptive idea in the framework of the workshop topics. A disruptive idea should be really novel. For instance, working on improving the quality on an already existing approach is not disruptive (usually), while proposing a totally new problem addressing a particularly new challenge, is disruptive.
Disruptive papers will be evaluated by the PC, according to a standard review process.
Papers must be written in English and formatted according to the IEEE two-column template.
Author instructions, style files and copyright form can be downloaded at:
Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength). All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance, significance, originality and clarity. All articles will be reviewed by at least 2 referees.
Full papers that have already been accepted or are currently under review for other workshops, conferences, or journals will not be considered for DyNo 2018. At least one author of each accepted paper must attend the workshop and present the paper.
All papers for DyNo must be submitted by using the on-line submission system via: EasyChair (https://easychair.org/conferences/?conf=dyno2018)
Network science, network analysis, and network mining are new scientific topics that emerged in recent years and are growing quickly. Instead of studying the properties of entities, network science focus on the interaction between these entities. The tremendous quantity of relational data that become available (Online Social Networks, cell phones, the Internet and the Web, trip datasets, etc.) encourage new research on the topic.
In the last years we witnessed a shift from static network analysis to a dynamic network analysis, i.e., the study of networks whose structure change over time. As time goes by, all the Perturbations which occur on the network topology due to the rise and fall of nodes and edges have repercussions on the network phenomena we are used to observing. As an example, evolution over time of social interactions in a network can play an important role in the diffusion of an infectious disease.
Nowadays, one of the fascinating challenges is to analyze the structural dynamics of real world networks and how they impact on the processes which occur on them, i.e., the spreading of social influence and diffusion of innovations. Results in this field will enable a better understanding of important aspects of human behaviors as well as a more detailed characterization of the complex interconnected society we inhabit. Since the last decades, diffusive and spreading phenomena were facilitated by the enormous popularity of the Internet and the evolution of social media that enable an unprecedented exchange of information. For this reason, understanding how social relationships unravel in these rapidly evolving contexts represents one of the most intriguing fields of research ever.
The purpose of this workshop is to encourage principled research that will lead to the advancement of the social science in time-evolving networks. The workshop will seek top-quality submissions addressing important topics such as: dynamic network modeling, time-aware network mining approaches, social influence spreading, diffusion processes in dynamic networks and forecast of network topology perturbation.
KDD Laboratory, ISTI-CNR Pisa, Italy
LIRIS, Lyon University, CNRS/UCBL, Lyon, France
KDD Laboratory, Department of Computer Science, University of Pisa, Italy
LIP, ENS de Lyon/INRIA, Lyon, France
Livio Bioglio, University of Turin, Italy
Pierre Borgnat, CNRS/ENS de Lyon, France
Arnaud Casteigts, University of Bordeaux, France
Michele Coscia, Harvard Business School, Boston, US
Narimene Dakiche, Ecole Nationale Supérieure d'Informatique, Algeria
Kuntal Dey, IBM research India, India
Barbara Guidi, University of Pisa, Italy
Jean-Loup Guillaume, Université de la Rochelle, France
Nagehan Ilhan, Technical University Istanbul, Turkey
Matthieu Latapy, CNRS/UPMC, France
Cheng-Te Li, National Cheng Kung University (NCKU), Taiwan
Matteo Magnani, Uppsala University, Sweden
Giovanni Montana, Warwick University, UK
Leto Peel, UC Louvain, Belgium
Ruggero Pensa, University of Turin, Italy
Peter Pollner, Hungarian Academy of Sciences, Hungary
Ingo Scholtes, ETH Zurich, Switzerland
Frédéric Simard, CNRS UPMC, France
Sho Tsugawa, University of Tsukuba, Japan
Tiphaine Viard, Riken AIP, Japan