***** To join INSNA, visit http://www.insna.org ***** *Soc2Net: International workshop on Modeling and mining Social-Media-driven Complex Networks @ ICWSM-19 * June 11, 2019, Munich, Germany https://urldefense.proofpoint.com/v2/url?u=http-3A__events.dimes.unical.it_soc2net&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=Q7yH0jbB9sDGTuglgbkm5MhPXiPPYMww6vNVZT8fwg8&s=z9wjkzUWgwvdJgI6pf9OtzMfz8xQv9gzR_gXZkeW5S8&e= KEY DATES ---------------- Paper submission deadline:* March 25, 2019* Acceptance notification: *April 12, 2019* _________________________________________________________________________ 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 in conjunction with The 13th International AAAI Conference on Web and Social Media (ICWSM-2019) in Munich (Germany), 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, e.g., relying on the datasets from the previous editions of ICWSM which are released as openly available community resources. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - 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, either theoretical or empirical, describing ongoing projects or completed work. 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). Accepted contributions will be published in a special issue of the Frontiers in Big Data journal. Frontiers will grant fee waivers for participants who do not benefit from institutional support for open access fees. Please contact the editorial office at [log in to unmask], noting your participation in ICWSM 2019. Papers must be submitted through this link, using the “Submit your manuscript” button: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.frontiersin.org_research-2Dtopics_9706&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=Q7yH0jbB9sDGTuglgbkm5MhPXiPPYMww6vNVZT8fwg8&s=plnZfip4He0sIVE7PLDhHf-QoaDiQeWvbL13BoPccDw&e= and must follow Frontiers templates described here: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.frontiersin.org_about_author-2Dguidelines-23ManuscriptRequirements&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=Q7yH0jbB9sDGTuglgbkm5MhPXiPPYMww6vNVZT8fwg8&s=om8M2RDggBlzYDYZ17WO9EQZMaDIwIS7U-ok4nEI2Ko&e= Papers should be in single column format. Brief Research Report article type should be selected for short papers. Please note that there is a single special issue for all ICWSM-19 workshops, so in order to submit to the Soc2Net workshop please indicate as preferred handling editor one of the workshop organizers (see below). KEY DATES Paper submission deadline: March 25, 2019 Acceptance notification: April 12, 2019 Final manuscripts due: April 17, 2019 PC-CHAIRS *Roberto Interdonato*, CIRAD, UMR Tetis, Montpellier, France, [log in to unmask] *Sabrina Gaito*, Università degli Studi di Milano, Italy, [log in to unmask] *Alessandra Sala*, Nokia Bell Labs, Dublin, Ireland, [log in to unmask] *Andrea Tagarelli*, University of Calabria, Italy, [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.