Limerick 发表于 2025-3-28 15:21:26
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https://doi.org/10.1007/978-3-319-27905-3ology based on the framework of business intelligence platform to support dynamic network modeling, analysis and data mining. Finally, China’s case study described the process of dynamic group-buying network modeling and analysis, as well as the results of the buyer behavior pattern analysis and minsyring 发表于 2025-3-29 06:14:17
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J. Stötter,H. Weck-Hannemann,E. Veulliettive measures while different types are not directly comparable to each other. Further, our analysis shows that narrowness of a Research Network’s subject area can be predicted using the connectedness of semantic similarity networks. Finally, conclusions are drawn and implications for future researcinsipid 发表于 2025-3-29 18:45:33
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‘Sustainable Ageing’ in a World of Crisesesent our long-term research effort in analyzing Facebook, the largest and arguably most successful OSN today: it gathers more than 500 million users. Access to data about Facebook users and their friendship relations is restricted; thus, we acquired the necessary information directly from the front高兴一回 发表于 2025-3-30 03:45:34
https://doi.org/10.1007/978-3-031-41594-4 data localization in a separate position; and centralized data in a single position approve that the concentration of data to one node. These behaviors are driven by complexity of the dataset and network nodes structure of the chosen log dataset.Ringworm 发表于 2025-3-30 07:10:52
s; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.978-1-4471-6237-7978-1-4471-4054-2