Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
PageRank beyond the web
Google's PageRank method was developed to evaluate the importance of web-pages via
their link structure. The mathematics of PageRank, however, are entirely general and apply …
their link structure. The mathematics of PageRank, however, are entirely general and apply …
Network sampling: From static to streaming graphs
Network sampling is integral to the analysis of social, information, and biological networks.
Since many real-world networks are massive in size, continuously evolving, and/or …
Since many real-world networks are massive in size, continuously evolving, and/or …
Practical recommendations on crawling online social networks
Our goal in this paper is to develop a practical framework for obtaining a uniform sample of
users in an online social network (OSN) by crawling its social graph. Such a sample allows …
users in an online social network (OSN) by crawling its social graph. Such a sample allows …
A survey of sampling method for social media embeddedness relationship
Social media embeddedness relationships consist of online social networks formed by self-
organized individual actors and significantly affect many aspects of our lives. Since the high …
organized individual actors and significantly affect many aspects of our lives. Since the high …
Stochastic resetting for enhanced sampling
We present a method for enhanced sampling of molecular dynamics simulations using
stochastic resetting. Various phenomena, ranging from crystal nucleation to protein folding …
stochastic resetting. Various phenomena, ranging from crystal nucleation to protein folding …
Towards unbiased BFS sampling
Breadth First Search (BFS) is a widely used approach for sampling large graphs. However, it
has been empirically observed that BFS sampling is biased toward high-degree nodes …
has been empirically observed that BFS sampling is biased toward high-degree nodes …
Beyond random walk and metropolis-hastings samplers: why you should not backtrack for unbiased graph sampling
Graph sampling via crawling has been actively considered as a generic and important tool
for collecting uniform node samples so as to consistently estimate and uncover various …
for collecting uniform node samples so as to consistently estimate and uncover various …
Preface: stochastic resetting—theory and applications
Preface: stochastic resetting—theory and applications - IOPscience Skip to content IOP
Science home Accessibility Help Search all IOPscience content Search Article Lookup Select …
Science home Accessibility Help Search all IOPscience content Search Article Lookup Select …
On random walk based graph sampling
Random walk based graph sampling has been recognized as a fundamental technique to
collect uniform node samples from a large graph. In this paper, we first present a …
collect uniform node samples from a large graph. In this paper, we first present a …
Ontology based recommender system using social network data
Abstract Online Social Network (OSN) is considered a key source of information for real-time
decision making. However, several constraints lead to decreasing the amount of information …
decision making. However, several constraints lead to decreasing the amount of information …