3rd Heterogeneous information network analysis and applications (HENA)
Now we are living in an interconnected world - where most of the data, informational objects, agents, or components are interconnected or interact with each other - forming gigantic and sophisticated information networks. Most real-world applications based on information networks can be structured into heterogeneous information networks that include different types of objects or links. Recent works on heterogeneous information network analysis and its applications have led to a convergence of methodologies for network modeling, graph mining, linking analysis, data semantics mining, and incorporating classification, learning and reasoning with graphical models. As a promising network analysis paradigm, heterogeneous information network analysis also faces challenges, such as how to manage more complex heterogonous data like RDF data and how to quickly handle large-scale heterogonous information network. This workshop shall provide a forum for researchers and practitioners to share new techniques and applications in heterogonous information network analysis.
Active research areas that are relevant to heterogeneous information networks include:
- Heterogeneous information network construction from complex data
- Semantic mining on heterogeneous information networks
- Data mining methods for heterogeneous information networks
- Network embedding, especially for heterogeneous network
- Information diffusion and behavioural modelling on heterogeneous networks
- Data mining based on knowledge graphs
- Community detection and evolution of network
- Parallel computing for information network analysis
- Network analysis applications for e-commerce, text, security, software engineering
The emphasis of this workshop shall be analysis approaches and applications based on heterogeneous information networks extracted from heterogeneous sources such as technical literature, news articles, social network profile data, and social media. However, the scope is not limited to any particular approach to link analysis or any source of network information such as text corpora. Application areas that often exhibit a need for heterogeneous information network analysis include:
- Information diffusion and sharing systems: sensor networks, social media (opinions and sentiments, meme propagation, viral content, political commentary, etc.)
- Behavioral modeling: community recruitment and mass activity, large-scale patterns, traffic, spatiotemporal effects
- Content-management systems: version control, wikification
- Social recommender systems: communities, experts, friends, products, reviewers, providers
- Application areas: cybersecurity (information flow, trust networks, attack graphs, mechanism design), bioinformatics and biomedicine (genomics, proteomics, metabolomics), epidemiology
This workshop shall help to bring together people from these different areas and present an opportunity for researchers and practitioners to share new techniques for identifying and analyzing relationships in networks that integrate multiple types or sources of information.
Call for papers