Community-based time segmentation from network snapshots
نویسندگان
چکیده
منابع مشابه
Inferring Centrality from Network Snapshots
The topology and dynamics of a complex network shape its functionality. However, the topologies of many large-scale networks are either unavailable or incomplete. Without the explicit knowledge of network topology, we show how the data generated from the network dynamics can be utilised to infer the tempo centrality, which is proposed to quantify the influence of nodes in a consensus network. W...
متن کاملTime-Lapse Snapshots
A snapshot scan algorithm takes an “instantaneous” picture of a region of shared memory that may be updated by concurrent processes. Many complex shared memory algorithms can be greatly simplifkd by structuring them around the snapshot scan abstraction. Unfortunately, the substantial decrease in conceptual complexity is quite often countetkknced by an increase in computational complexity. In th...
متن کاملGenerating Uncertain Networks Based on Historical Network Snapshots
Imprecision, incompleteness and dynamic exist in wide range of network applications. It is difficult to decide the uncertainty relationship among nodes since traditional models do not make sense on uncertain networks, and the inherent computational complexity of problems with uncertainty is always intractable. In this paper, we study how to capture the uncertainty in networks by modeling a seri...
متن کاملComposition of GPRS/UMTS traffic: snapshots from a live network
This paper focuses on the traffic composition in a real GPRS/UMTS network. We present results from two datasets covering two one-week measurement periods, in December 2004 and November 2005. We show how users and traffic split between access technologies (GPRS and UMTS) and services, and present an analysis of the per-user activity at the PDP-context level. The results reported here provide an ...
متن کاملNetwork-Based Segmentation of Biological Multivariate Time Series
Molecular phenotyping technologies (e.g., transcriptomics, proteomics, and metabolomics) offer the possibility to simultaneously obtain multivariate time series (MTS) data from different levels of information processing and metabolic conversions in biological systems. As a result, MTS data capture the dynamics of biochemical processes and components whose couplings may involve different scales ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Network Science
سال: 2019
ISSN: 2364-8228
DOI: 10.1007/s41109-019-0136-1