Pervasive Knowledge and Collective Intelligence on Web and Social Media

First EAI International Conference, PerSOM 2022, Messina, Italy, November 17-18, 2022, Proceedings

Häftad, Engelska, 2023

Del 494 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This book constitutes the refereed post-conference proceedings of the First International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2022, which was held in Messina, Italy, in November 2022.The 9 full papers were carefully reviewed and selected from 35 submissions and present findings of research from the fields of pervasive computing, web, and social media to promote ideas and practices about pervasive knowledge and collective intelligence in this fields. The conference targeted a wide variety of topics including new perspectives in social theories, complex networks, data science, knowledge management, web and social media.

Produktinformation

Utgivningsdatum:2023-04-28
Mått:155 x 235 x 9 mm
Vikt:242 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:139
Förlag:Springer International Publishing AG
ISBN:9783031314681

Utforska kategorier

Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Data Science.- Assembling Fragments of Ancient Papyrus via Artificial Intelligence.- Social Media Analysis and Mining.- Misinformation and disinformation on Social Media: an updated survey of challenges and current trends.- Topic Detection and Tracking in Social Media Platforms.- Fake News on Social Media: current research and future directions.- Incivility balanced? Civil vs. uncivil speech in online political discussions as dependent on political parallelism.- Data and Network Security.- Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.- Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications.- Emerging Applications.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.