Titlebook: Computational Collective Intelligence; 7th International Co Manuel Nú?ez,Ngoc Thanh Nguyen,Bogdan Trawiński Conference proceedings 2015 Spr

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Towards a Framework for Hierarchical Multi-agent Plans Diagnosis and Recoveryplans execution exceptions. We propose a recovery policy based on the runtime diagnosis of resources and task failure. To this end, we take advantage of the ability to reason (using the formalism Hierarchical-Plan-Net-with-Synchronization, or .) on the abstract tasks interaction and interference in

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A Survey of Twitter Rumor Spreading Simulationsope, Twitter is the most studied social network in viral marketing and the rumor spread is a widely researched problem. This paper contributes with a survey of research works which study rumor diffusion in Twitter. Moreover, the most useful aspects of these works to build new multi-agent based simul

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Community Division of Bipartite Network Based on Information Transfer Probabilityce for the study of complex networks of community division. Based on the diffusion probability of information and modules ideas in the network,this paper presents a community divided clustering algorithm (IPS algorithm) for bipartite network unilateral nodes.The algorithm simulates the probability o

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User-Tweet Interaction Model and Social Users Interactions for Tweet Contextualizationity to communicate, interact, create conversations with each other and share information in real time about events, natural disasters, news, etc. On Twitter, users post messages called tweets. Tweets are short messages that do not exceed 140 characters. Due to this limitation, an individual tweet it

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Supervised Learning to Measure the Semantic Similarity Between Arabic Sentencesctive as they usually do not take into account some semantic and syntactic-semantic knowledge like semantic predicate, thematic role and semantic class. Measuring the semantic similarity between sentences in Arabic is particularly a challenging task because of the complex linguistic structure of the

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Computational Collective Intelligence978-3-319-24069-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Giuseppe Bellussi,Roberto Milliniing relationships and interactions. We then introduce a novel method based on latent Dirichlet allocation to extract user clusters discussing interesting local topics and propose a methodology to eliminate trivial topics. In order to evaluate the methodology, we experiment with a real-world dataset created using the Twitter Searching API.