Large, Heterogeneous Networks and their Applications

Watching streaming videos, uploading pictures and using cloud-based services will make high demands on mobile networks. At the same time more devices will be connected. Heterogeneous Networks, involving a mix of radio technologies and cell types working together seamlessly, will play an important role to service data hungry smartphones, especially in crowded areas.

The “Large, Heterogenous Networks and their Applications” (LHNA) track aims at promoting original and unpublished research works covering emerging and novel concepts, technologies, applications for categories related to large and heterogeneous networks. This includes issues related to radio (4/5G) and large wireless networks, traffic management, complex graphs, semantic Web, Big Data, and network security.

The topics of interest of the track include, but are not limited to:

Large Network Analysis – methods, algorithms, processes, analytic tools

  • Graph processing / manipulation
  • Usage / implementation of Big Data algorithms
  • Avoiding fragmentation of the network graph
  • Dynamics and evolution patterns of social networks, trend prediction
  • Information broadcasting in Social Networks

Social analytic tools

  • Approaches based on Semantic Web Technologies
  • Ontologies for managing social networks
  • Social networks and cultural information
  • Social Network Analysis of Terrorist Networks
  • Cyber surveillance for unlawful activities for critical infrastructure protection
  • Participatory surveillance

Large/Heterogeneous Networks Security, privacy, trust and ethics

  • Privacy-preserving (social) network Analysis
  • Network Analysis for security applications
  • Network-based security measures and controls
  • Network Analysis for identifying and assessing cyber risks
  • Information security measures and controls, to help in identifying and assessing cyber risks

Architectures and methods for large/heterogeneous network management

  • Traffic management
  • Self-optimizing approaches
  • Self-configuration approaches
  • Cell coordination
  • Communities discovery and analysis in large scale online and offline social networks
  • Traffic prediction for dimensioning multimedia applications
  • Frameworks and Methodologies for large scale Collaboration
  • Social media search and management in large scale environments
  • Collective Awareness Platforms for Social (CAPS) and business innovation

Applications of large/heterogeneous networks

  • Human-centric Computing and Cyber-Physical Systems
  • Internet of People
  • Internet of Things
  • Social Computing and Social Internet of Things
  • Mobile Network and Behavior Analysis
  • Internet of Sensing, Thinking and Creation
  • Internet of Swarm Intelligence and Games
  • Context-aware service discovery and recommendation
  • Ontologies for managing social/large networks
  • Large Scale Ontologies Matching and Mapping
  • Crowd Sensing, Sourcing, Intelligence and Wisdom
  • Biometric Sensors and Identifications
  • Brain Information Sensing and Processing
  • Brain-Computer Interface/Brain-Machine Interface
  • Internet of Brains and Lives
  • Wearable Computing and Implant Technology
  • Personal/Body Network and Near Field Communication
  • Affective Computing, Ubiquitous Social Computing
  • Smart Healthcare
  • Deep Learning for IoS and Urban Computing

Track Chair

Ana Roxin, IEM Dept., University of Burgundy, France
Alessandro Provetti, MIFT Dept., University of Messina, Italy
Ernesto Damiani, University of Milan, Italy