Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Human computation
Wikinomics: How Mass Collaboration Changes Everything
Wikinomics: How Mass Collaboration Changes Everything
Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies
Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
From software product lines to software ecosystems
Proceedings of the 13th International Software Product Line Conference
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Social Network Data Analytics
Interactions with big data analytics
interactions
A survey of environments and mechanisms for human-human stigmergy
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Large-scale machine learning at twitter
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Elements of software ecosystem early-stage design for collective intelligence systems
Proceedings of the 2013 International Workshop on Ecosystem Architectures
Hi-index | 0.00 |
Modern software platforms often depend on networks of user-generated content. Although such platforms are very popular, their architectural concepts and underlying system dynamics are not yet fully understood. This paper uses stigmergy, a form of indirect communication and self-organization, as basis for framing certain groups of software services in order to propose an architectural concept of stigmergic information systems and describe identified key fields (actor base, architecture, software ecosystem) influencing them. Thus enabling the creation of better solution stack configurations needed to support effective and efficient development of such services.