Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Foundations and Trends in Web Science
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Web science: an interdisciplinary approach to understanding the web
Communications of the ACM - Web science
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Classifying latent user attributes in twitter
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Who is tweeting on Twitter: human, bot, or cyborg?
Proceedings of the 26th Annual Computer Security Applications Conference
Topical semantics of twitter links
Proceedings of the fourth ACM international conference on Web search and data mining
Analyzing user modeling on twitter for personalized news recommendations
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Measuring influence on Twitter
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
The web science curriculum at work: the digital economy master program at USJ-Beirut
Proceedings of the 5th Annual ACM Web Science Conference
Rethinking measurements of social media use by charities: a mixed methods approach
Proceedings of the 5th Annual ACM Web Science Conference
Science vs. science: the complexities of interdisciplinary research
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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Web Science is now well recognized as an interdisciplinary field, drawing on research from the computational, natural and social sciences. These disciplines bring diverse theoretical and methodological approaches, providing alternative perspectives and insight into Web activity. Consequently, Web Science faces the challenge of developing research methods that transcend disciplines, not least in dealing with the epistemological tensions between different methodological approaches. As a start, this paper argues that, a mixed methods approach is required. To demonstrate the affordances of this, the activities of the UK Open Government Data community are analyzed by combining quantitative computational science techniques with qualitative social science methods underpinned by social theory. This provides a richer and more detailed analysis than either approach alone could offer and one which enables us to apprehend the Web as a complex socio-technical phenomenon.