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Crawling Online Soc...
Crawling Online Social Networks
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- Erlandsson, Fredrik, 1981- (författare)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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Nia, Roozbeh (författare)
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- Boldt, Martin (författare)
- Blekinge Tekniska Högskola,Sektionen för datavetenskap och kommunikation
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- Johnson, Henric (författare)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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Wu, S. Felix (författare)
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(creator_code:org_t)
- IEEE Computer Society, 2015
- 2015
- Engelska.
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Ingår i: SECOND EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC 2015). - : IEEE Computer Society. ; , s. 9-16
- Relaterad länk:
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https://bth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Researchers put in tremendous amount of time and effort in order to crawl the information from online social networks. 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 information. We have developed a novel crawler called SINCE. This crawler differs significantly from other existing crawlers in terms of efficiency and crawling depth. We are getting all interactions related to every single post. In addition, are we able to understand interaction dynamics, enabling support for making informed decisions on what content to re-crawl in order to get the most recent snapshot of interactions. Finally we evaluate our crawler against other existing crawlers in terms of completeness and efficiency. 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 and over 6 billion likes.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Crawlers;Facebook;Feeds;Informatics;Sampling methods;Silicon compounds;crawling;mining;online social media;online social networks
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)