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HUSO 2020: International Conference on Human and Social Analytics
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Porto, Portugal
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The recent development of social networks, numerous ad hoc interest-based formed virtual communities, and citizen-driven institutional initiatives raise a series of new challenges in considering human behavior, both on personal and collective contexts.

There is a great possibility to capture particular and general public opinions, allowing individual or collective behavioral predictions. This also raises many challenges, on capturing, interpreting and representing such behavioral aspects. While scientific communities face now new paradigms, such as designing emotion-driven systems, dynamicity of social networks, and integrating personalized data with public knowledge bases, the business world looks for marketing and financial prediction.

HUSO 2020, The Sixth International Conference on Human and Social Analytics, continues this event bridging the concepts and the communities dealing with emotion-driven systems, sentiment analysis, personalized analytics, social human analytics, and social computing.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.

HUSO 2020 conference tracks:

Hot topics in human and social analytics

Tendencies: Dynamic social networks; Affective computation; Knowledge computational engine for big data; Crowd emotions computation; Cooperation communities; Community evolution prediction; Discovering regional communities; Dynamic feedback mechanisms; Community structure detection; Predicting diffusion of preferences; Twitter communities; Microblogs; Influence for celebrities on microblogs; Sentiment analysis in the blogosphere; Data-mining twitter; Detection of persistent topics; Attraction similarity metric;  Community influence ranking in social networks
Challenges: Community-based cheater detection; Spammer detection; Expert detection; Rumors detection; Understanding lurking behaviors; Detecting malicious clients; Trust patterns in ego networks; Cyberbullying behavior; Online anti-opinion spam; Detecting deception; Tracking in Twitter; Models of influence inflation in online social networks; Clearing contamination; Activity space-based crime location prediction; Trust antecedents frameworks and trust prediction; Overlapping community detection

Human Heritage Analytics

Cultural heritage analytics; Conservation; Reconstruction and restoration techniques; Preservation analytics; Historic linked data; Digital photos collection analytics; Industrial heritage analytics; Cityscapes analytics; Archeological analytics; Human habit and costumes analytics; Historical assets (coins, pottery, building architecture, traditions) analytics; 3D Digitalization and augmented virtual reality;  Museums interactive exploration; Social media influence.

Emotion Basics

Modeling and capturing and representing online emotions; Knowledge representation and reasoning about emotions; Emotional behavior in human-computer interaction; Sentiment and emotion summarization and visualization; Emotional behavior modeling and ontologies; Capturing emotions in sounds and music computing; Expressing emotions in interactive entertainment; Expressing emotions in multimedia and multimodal systems; Emotional behavior in storytelling; Emotions in geographical and cultural heritage

Human interaction

Human-computer interaction; Natural user interfaces; Virtual and augmented reality (Google Glass, Hololens, etc. ); Multimedia and multimodal systems; Smart cities; Interaction design

Emotion-Driven Systems

Requirements engineering for emotions; Representation of emotionally-oriented requirements; Software design and programming of emotionally-oriented systems; Affective computing approaches to software development; Appropriation and deployment of emotionally-oriented systems; Software processes and practice for emotionally-oriented systems; Case studies relating information systems and emotions; Ethics in emotion-driven systems

Sentiment Analysis

Mining opinion with explicit/implicit, regular/ irregular, syntactical and semantic rules; Ontologies and knowledge bases for sentiment analysis; Baselines and datasets for semantic sentiment analysis; Concept-level sentiment analysis; Expressions with latent semantics; Sentiment-based indexing, search and retrieval in social networks; Subjectivity, sentiment and emotion detection in social networks; Evolution of sentiment within and across social media systems and topics; Topic based and entity based sentiment analysis; Semantic processing of social media for sentiment analysis; Comparison of semantic approaches for sentiment analysis; Prediction of sentiment towards events, people, organizations;

Social Human Analytics

Humanistic data collection and interpretation; Context-centric social multimedia discovery and collection; Semantic web technologies for subjectivity and social analysis; Social and expressive media corpora and annotations; Creative language (humor, irony, metaphor, etc.) in social networks; Dynamicity of social event detection; Social network and interaction analysis around places and events; Social media visualization and aggregation of places and events; Event-based and location-based storytelling using social media; Interactive social media applications; Sentiment and engagement analysis using social media; Mobile social networking applications; Collaborative multimedia content production; Social poor-quality arguments; Social fuzzy thinking; Online critical literacy; Linked argumented data; Complex annotation tools and interfaces; Linguistic variation and non-standard or historical use of language; Automatic creation of social semantic resources

Personalized Human Analytics

Mining personalized opinions; Individual versus collective behavior models; Data-driven profiling/ personalization; User modeling, personalization and linked data; Behavior and context prediction; Gesture recognition; Person-centric reasoning; Web access patterns analysis; Speech and audio data profiling; Personalized ontologies, ontology matching, and alignment; Personalized sentiment analysis; Connecting personalized opinions across blogs, social media, news sites; Balancing privacy/security/reliability/utility/usability of personal data; Multiple patterns extraction across personalized data; Integrating personalized data with public knowledge bases; Interactive dashboards of heterogeneous personalized data

Social Computing

Social applications, services and technologies; Social computing for citizen engagement; Smart cities and social computing; Urban knowledge and social computing for community participation; Social computing and quality of living; Social analytics and societal behavior for prediction and urban optimization; Social computing and social networks; Social computing and personalized behavior; Social Sensing; Humans and agents of social computing; Citizen incentive for social computing services

Human Web Interaction

Natural language interfaces; Keyword-based query interfaces; Hybrid query interfaces; Emotional behavior; Adaptive Web interfaces;  Learning User Profiles; Personalized Interfaces; Remembrance Agents; Interaction visualization; Social and psychological challenges; (Agent-based) modeling of social systems and interactions; (Agent-based) simulation for social analysis
Last updated by Dou Sun in 2020-07-07
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