Over the last years we have crawled public communities on Facebook, resulting in over 500 million unique Facebook users, 50 million posts, 500 million comments ...
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Nov 9, 2015 · Abstract: Researchers put in tremendous amount of time and effort in order to crawl the information from online social networks.
We have developed a novel crawler called SINCE. This crawler differs significantly from other existing crawlers in terms of efficiency and crawling depth.
With the variety and the vast amount of information shared on online social networks today, different crawlers have been designed to capture several types of ...
Jan 10, 2020 · Therefore, the ubiquitous crawling of social networks is of the utmost importance for researchers. Such a tool will allow the researcher to get ...
This paper examines the OSN graph crawling problem, where the nodes are OSN users and the edges are the links (or relationship) among these users.
In this paper, we present the framework of parallel crawlers for online social networks, utilizing a centralized queue.
In this paper we present a simple approach to crawl a network community- wise and detect communities at the same time. Our algorithm called Mutual. Friend ...
In this paper, we present the framework of parallel crawlers for online social networks, utilizing a centralized queue. To show how this works in practice, we ...
This work proposes a new approach that deals with the aforementioned issues and can improve characteristics of throughput for multiple users.