Multigraph Sampling of Online Social Networks
نویسندگان
چکیده
منابع مشابه
Unbiased Sampling over Online Social Networks
During recent years, Online Social Networks (OSNs) have evolved in many ways and attracted millions of users. The dramatic increase in the popularity of OSNs has encouraged network researchers to examine their connectivity structure. The majority of empirical studies for characterizing OSN connectivity graphs have analyzed snapshots of the system taken in different times. These snapshots are co...
متن کاملRespondent-Driven Sampling in Online Social Networks
Abstract. Respondent-driven sampling (RDS) is a commonly used method for acquiring data on hidden communities, i.e., those that lack unbiased sampling frames or face social stigmas that make their members unwilling to identify themselves. Obtaining accurate statistical data about such communities is important because, for instance, they often have different health burdens from the greater popul...
متن کاملReal time enhanced random sampling of online social networks
Social graphs can be easily extracted from Online Social Networks (OSNs). However, as the size and evolution of this kind of networks increases over time, typical sampling methods used to evaluate large graph information cannot accurately extract network’s properties. Furthermore in an attempt to deal with ever increasing access and possible malicious incidents (e.g. Denial of Services), OSNs p...
متن کاملComparative Study of Sampling Methods for Online Social Networks
The properties of online social networks are of great interests to the general public as well as IT professionals. Often the raw data are not available and the summaries released by the service providers are sketchy. Thus sampling is needed to reveal the hidden properties and structure of the underlying network. This thesis conducts comparative studies on various sampling methods, including Ran...
متن کاملLeveraging History for Faster Sampling of Online Social Networks
With a vast amount of data available on online social networks, how to enable efficient analytics has been an increasingly important research problem. Many existing studies resort to sampling techniques that draw random nodes from an online social network through its restrictive web/API interface. While almost all of these techniques use the exact same underlying technique of random walk a Mark...
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: IEEE Journal on Selected Areas in Communications
سال: 2011
ISSN: 0733-8716
DOI: 10.1109/jsac.2011.111012