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Although the extraction of facts and aggregated information from individual Online Social Networks OSNs has been extensively studied in the last few years, cross-social media-content examination has received limited attention. Such content examination involving multiple OSNs gains significance as a way to either help us verify unconfirmed-thus-far evidence or expand our understanding about occurring events. Driven by the emerging requirement that future applications shall engage multiple sources, we present the architecture of a distributed crawler which harnesses information from multiple OSNs. We demonstrate that contemporary OSNs feature similar, if not identical, baseline structures. To this end, we propose an extensible model termed SocWeb that articulates the essential structural elements of OSNs in wide use today. The Degree Of Utilization Of Social Networks The Degree Of Utilization Of Social Networks

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The Degree of Segregation in Social Networks The Degree Of Utilization Of Social Networks

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To withdraw consent, please adjust your cookie settings in your browser. This Special Issue invites theoretical and applied cutting edge research on standards, frameworks, models, and approaches on cybersecurity management in the era of AI and intelligent learning technologies. More specifically, we encourage original paper submissions on the most recent advances in security network and system management solutions using AI.

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The Degree Of Utilization Of Social Networks

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The Degree Of Utilization Of Social Networks

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