Change detection in noisy dynamic networks: a spectral embedding approach
نویسندگان
چکیده
منابع مشابه
Community Change Detection in Dynamic Networks in Noisy Environment
Detection of anomalous changes in social networks has been studied in various applications such as change detection of social interests and virus infections. Among several kinds of network changes, we concentrate on the structural changes of relatively small stationary communities. Such a change is important because it implies that some crucial changes have happened in a special group, such as ...
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For any stream of time-stamped edges that form a dynamic network, an important choice is the aggregation granularity that an analyst uses to bin the data. Picking such a windowing of the data is often done by hand, or left up to the technology that is collecting the data. However, the choice can make a big difference in the properties of the dynamic network. This is the time scale detection pro...
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ژورنال
عنوان ژورنال: Social Network Analysis and Mining
سال: 2020
ISSN: 1869-5450,1869-5469
DOI: 10.1007/s13278-020-0625-3