Soc Web: Efficient Monitoring of Social Network Activities

Psallidas, Fotis; Ntoulas, Alexandros; Delis, Alex

doi:10.1007/978-3-642-41154-0_9

Cited by 7 publications

(7 citation statements)

References 21 publications

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“…Data collection from these services is not supported by standard Web crawlers. Usually it is conducted in an ad-hoc manner, although some structured approaches targeting specific aspects exist [6,20]. For example, [6] collects Twitter data from particular user communities, [20] proposes a cross Social Media crawler, whereas [4] addresses topic detection in Twitter streams.…”

Section: Related Workmentioning

confidence: 99%

“…Usually it is conducted in an ad-hoc manner, although some structured approaches targeting specific aspects exist [6,20]. For example, [6] collects Twitter data from particular user communities, [20] proposes a cross Social Media crawler, whereas [4] addresses topic detection in Twitter streams. These studies typically focus on crawling and analyzing data from specific Social Networks, whereas our work addresses the problem of integrated collection of interlinked Web and Social Web data.…”

Section: Related Workmentioning

confidence: 99%

“…3,8] or Social Web content [e.g. 6,20]. Even in crawlers that make use of both Web and Social Web content like the ARCOMEM crawler…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

iCrawl

Gossen

Demidova

Risse

2015

Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries

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Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and fresh Web collections. Especially Social Media provide a rich source of fresh content, which is not used by state-of-the-art focused crawlers. In this paper we address the issues of enabling the collection of fresh and relevant Web and Social Web content for a topic of interest through seamless integration of Web and Social Media in a novel integrated focused crawler. The crawler collects Web and Social Media content in a single system and exploits the stream of fresh Social Media content for guiding the crawler.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

iCrawl

Gossen

Demidova

Risse

2015

Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries

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“…Data collection from these services is not supported by standard Web crawlers. Usually it is conducted in an ad hoc manner, although some structured approaches exist [56][57][58]. However, these platforms focus on API access and do not archive Web pages linked from Social Web platforms.…”

Section: Related Workmentioning

confidence: 99%

The ARCOMEM Architecture for Social- and Semantic-Driven Web Archiving

et al. 2014

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International audienceThe constantly growing amount ofWeb content and the success of the SocialWeb lead to increasing needs for Web archiving. These needs go beyond the pure preservationo of Web pages. Web archives are turning into “community memories” that aim at building a better understanding of the public view on, e.g., celebrities, court decisions and other events. Due to the size of the Web, the traditional “collect-all” strategy is in many cases not the best method to build Web archives. In this paper, we present the ARCOMEM (From Future Internet 2014, 6 689 Collect-All Archives to Community Memories) architecture and implementation that uses semantic information, such as entities, topics and events, complemented with information from the Social Web to guide a novel Web crawler. The resulting archives are automatically enriched with semantic meta-information to ease the access and allow retrieval based on conditions that involve high-level concepts

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“…Data collection from these services is not supported by standard web crawlers. Usually it is conducted in an ad hoc manner, although some structured approaches exist [54][55][56]. However, these platforms focus on API access and do not archive web pages linked from social web platforms.…”

Section: Related Workmentioning

confidence: 99%

Analysing and Enriching Focused Semantic Web Archives for Parliament Applications

et al. 2014

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The web and the social web play an increasingly important role as an information source for Members of Parliament and their assistants, journalists, political analysts and researchers. It provides important and crucial background information, like reactions to political events and comments made by the general public. The case study presented in this paper is driven by two European parliaments (the Greek and the Austrian parliament) and targets an effective exploration of political web archives. In this paper, we describe semantic technologies deployed to ease the exploration of the archived web and social web content and present evaluation results.

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Soc Web: Efficient Monitoring of Social Network Activities

Cited by 7 publications

References 21 publications

iCrawl

iCrawl

The ARCOMEM Architecture for Social- and Semantic-Driven Web Archiving

Analysing and Enriching Focused Semantic Web Archives for Parliament Applications

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