Welcome to the
1st Mosharaka International Conference on Social Networking and Computing (MIC-Social 2027). This event is intended to represent a major forum for researchers, professionals and students from all over the world to meet in hybrid mode (remotely or onsite) in in the beautiful and culturally rich city of Porto in Portugal to present their latest research results and to exchange new ideas and practical experiences.
Scope
MIC-Social 2027 main scope includes, but is not limited to the following areas: Social Network Analysis and Mining; Social Network Models and Architectures; Social Networking Techniques and Applications; Social Network Management and Economics; Social Computing Techniques and Applications;
MIC-Social 2027 is planned to feature special sessions, keynote talks and tutorial sessions by leading experts, paper presentations, poster shows, demo shows, discussion panels, as well as other interesting technical activities.
Enjoy attending MIC-Social 2027 at PortoBay Flores, in Porto, Portugal.
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Enjoy moderate registration fees. Based on the user contribution index (UCI), proportionate registration discounts apply.
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Have the possiblity to extend and publish your conference papers with some of the top journal publishers.
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Only full paper submissions are allowed at all our conferences. No summary or abstract submissions are allowed. Conference topic coverage includes the most current and exciting fields of knowledge and research.
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Papers can be accepted to our conferences only after rigorous peer reviewing.
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Our outstanding reviewing process is facilitated by careful selection of technical program committee members from among the best international experts. Each submitted paper is subject to no less than three peer reviews before it can be considered for acceptance.
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Published papers of MIC-Social 2027 are indexed by Google Scholar. More indexing is on the way.
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At each congress, and based on paper review scores, the paper with the highest scores receives the Best Paper Award. This is an award to which only presented papers are eligible. The best paper award is usually delivered to the presenter of the winning paper at the main conference dinner.
MIC-Social 2027 Dates
MIC-Social 2027 Days
Monday - Wednesday: 15-17 March 2027 (Hybrid Mode)
Are you preparing a paper to submit to MIC-Social 2027?
If so, please help the organizing committee make good predictions about the potential size of MIC-Social 2027 participation. To do so, please indicate your plan to submit a contribution by clicking here. This does not imply any commitment on your side. Kindly note that clicking the above link does not involve submission of any contribution.
MIC-Social 2027 Track on Social Computing Techniques and Applications (SCTA)
SCTA track topics include, but are not limited to the following:
Anomaly Detection Methods in Social Networks; Attacks on Social Networks; Attacks via Social Networks; Community Structure Analysis in Social Networks; Contextual Social Network Analysis; Data Modeling For Social Networks; Enterprise Social Network Challenges; Forensics in Social Networks; Fundamentals of Social Computing; Future Social Computing Applications; Geographical Analysis of Social Networks; Identity Theft Protection on Social Networks; Information Diffusion in Social Networks; Infrastructure Support for Social Networks; Management of Social Network Data; Mobile Social Computing; Mobile Social Network Security; Mobile Social Networking; Modeling of Malicious behavior in Social Networks; Phishing Problems in Social Networks; Privacy Protection on Social Networks; Social Computing Theories; Social Information Dissemination models; Social Media Analytics; Social Media Data Collection and Indexing; Social Media Data Filtering; Social Media Data Representation; Social Media Information Analysis; Social Media Management; Social Media User Profiling; Social Network Data Mining; Social Network Management; Social Networking and Communication Services; Social Sharing of Multimedia; Social Wireless Networks; Spam Problems in Social Networks; Trust and Reputation in Social Networks; Visual Representation of Dynamic Social Networks
