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MATNet’18: International workshop on Mining Attributed Networks @ WWW’2018
(The Web Conf 2018)
April 23, 2018, Lyon France 

*Submission deadline: Jan 10, 2018*


Attributed network models have seen an increasing success in recent years,
thanks to their informative power and to their ability to model complex
networked relations that characterize most real-world phenomena. Their use
has been attractive to communities in different disciplines such as
computer science, physics, social science, as well as in interdisciplinary
research environments. The use of such models has been also supported by
the increasing easiness in collecting multi-relational data from the Web,
e.g., from online social media platforms, crowdsourced data, online
knowledge base. Within this view, the World Wide Web is an inestimable
source of information, which can be conveniently represented with
feature-rich network models, e.g., enclosing temporal aspects of the data,
quantitative and/or qualitative properties of nodes, different relations
between a common set of entities, different existence probabilities, or
modeling connection between different entity types.

The aim of the MATNet workshop, that will be held in conjunction with The
Web Conf 2018 in Lyon, is to get an insight in the current status of
research in network analysis and mining, showing how modeling information
coming from the World Wide Web in Attributed Network models can make it
possible to focus on domains and research questions that have not been
deeply investigated so far and to improve solutions to classic tasks. We
will solicit contributions that aim to focus on the analysis of attributed
networks, addressing important principles, methods, tools and future
research directions in this emerging field, possibly being  transversal to
different application domains. In particular, we cover the modeling of
complex networks, multiplex networks, and any unsupervised, supervised, and
semi-supervised mining approach in attributed network contexts.

*Topics *

- A list of non-exhaustive relevant topics include:
- Models and measures for multiplex  & attributed networks.
- Foundations of Learning and Mining in Attributed Networks
- Centrality and Ranking in Attributed Networks
- Community Detection in Attributed Networks
- Link Prediction in Attributed Networks
- Simplification/pruning/sampling of Attributed Networks
- User Behavior Modeling in Attributed Networks
- Social Influence and Information difusion in Attributed Networks
- Reputation and Trust in Attributed Networks
- Embedding and Deep Learning in Attributed Networks
- Probabilistic and Uncertain Attributed Networks
- Time-evolving Attributed Networks
- Hypergraph-based modeling, analysis and learning problems
- Cross-Domain problems in Attributed Networks
- Visualization of Attributed Networks
- Personalization and Recommendation in Attributed Networks
- Mobility in Attributed Networks
- Vertex similarity in multiplex and attributed networks
- Multiplex and attributed networks evolution models
- Multiplex network and dynamic network mining
- Ensemble learning for multiplex and attributed network mining
- Pattern mining in attributed networks


We welcome original contributions, either theoretical or empirical,
describing ongoing projects or completed work.
Paper length should not exceed  8 pages in IEEE double column format. To
submit your paper(s), please log into the submission website : 

*Key dates*

Paper due   Jan 10, 2018
Acceptance Notification  Feb 14, 2018
Final manuscript due  Mar 04, 2018

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