Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks

Context

The growing availability of multi-faceted social media data gives rise to  unprecedented opportunities for unveiling complex real-world online behaviors. This also supports  the proliferation of complex network models where the expressive power of the graph-based relational structure  is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore  innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous,   multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts.

The aim of the Soc2Net workshop, that will be held the 7 December 2020 as a virtual event in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches.

Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities.

Topics

Relevant topics include (but are not limited to):

– Foundations of Learning and Mining in social-media-driven complex networks
– Centrality and Ranking in social-media-driven complex networks
– Community Detection in social-media-driven complex networks
– Link Prediction in social-media-driven complex networks
– Simplification/pruning/sampling of social-media-driven complex networks
– User Behavior Modeling in social-media-driven complex networks
– Influence propagation in social-media-driven complex networks
– Reputation and Trust computing in social-media-driven complex networks
– Embedding and Deep Learning in social-media-driven complex networks
– Probabilistic and Uncertain social-media-driven complex networks
– Time-evolving social-media-driven complex networks
– Hypergraph-based modeling, analysis and learning problems
– Cross-Domain problems in social-media-driven complex networks
– Visualization of social-media-driven complex networks
– Personalization and Recommendation in social-media-driven complex networks
– Mobility in social-media-driven complex networks
– Vertex similarity in multiplex and social-media-driven complex networks
– Multiplex and social-media-driven complex networks evolution models
– Multiplex network and dynamic network mining
– Ensemble learning for social-media-driven complex networks mining
– Pattern mining in social-media-driven complex networks

Submission

We welcome original contributions, including papers discussing ongoing research projects.
Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references).
Papers must follow the IEEE two-column template, in compliance to the main conference.
Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org).
Authors of selected contributions will have the opportunity to submit an extended version of their accepted paper (either type) to the Frontiers in Big Data journal.

SUBMISSION WEBSITE:

https://easychair.org/conferences/?conf=soc2net

KEY DATES

Paper submission deadline: October 16, 2020  (Extended, firm deadline)
Acceptance notification: October 30, 2020
Final manuscripts due: November 6, 2020

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