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Titlebook: Online Social Media Analysis and Visualization; Jalal Kawash Book 2014 Springer International Publishing Switzerland 2014 Interpreting Soc

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樓主: Falter
31#
發(fā)表于 2025-3-26 22:29:54 | 只看該作者
A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows,g explicit these processes allows for sound design, re-use, and automated execution using an authoring system for visual representations of these analytic workflows. The workbench is implemented according to a flexible technical framework in which external and newly-defined analytic components can b
32#
發(fā)表于 2025-3-27 02:56:05 | 只看該作者
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發(fā)表于 2025-3-27 06:36:34 | 只看該作者
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發(fā)表于 2025-3-27 10:00:57 | 只看該作者
Online Social Media Analysis and Visualization978-3-319-13590-8Series ISSN 2190-5428 Series E-ISSN 2190-5436
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發(fā)表于 2025-3-27 13:54:28 | 只看該作者
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發(fā)表于 2025-3-27 18:35:02 | 只看該作者
https://doi.org/10.1007/978-3-319-13590-8Interpreting Social Networks; Online Social Media Applications; Social Network Analysis; Social Network
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發(fā)表于 2025-3-27 23:01:30 | 只看該作者
38#
發(fā)表于 2025-3-28 05:49:33 | 只看該作者
2190-5428 ers multi-agent systems and genetic algorithms and their app.This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic an
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發(fā)表于 2025-3-28 08:06:51 | 只看該作者
Book 2014ver generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehe
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發(fā)表于 2025-3-28 12:51:18 | 只看該作者
A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows,e integrated and used in conjunction with other analytic components. As a showcase we discuss the integration of a complex analytic process using multi-relational blockmodeling on a well-known reference data set.
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