Browsing Data Science Institute (Conference Papers) by Author "Hayes, Conor"
Now showing items 1-20 of 25
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Characterising and evaluating online communities from live microblogging user interactions
Hromic, Hugo; Hayes, Conor (NUI Galway, 2018-07-03)Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ... -
Decomposing Discussion Forums using User Roles
Chan, Jeffrey; Hayes, Conor (http://www.websci10.org, 2010)Discussion forums are a central part of Web 2.0 and Enterprise 2.0 infrastructures. The health and sustainability of forums is dependent on the information exchange behaviour of its members. Such behaviour needs to be ... -
Detecting bot behaviour in social media using digital DNA compression
Pasricha, Nivranshu; Hayes, Conor (AICS (Artificial Intelligence and Cognitive Science) 2019, 2019-12-05)A major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in ... -
An Eigenvalue-Based Measure for Word-Sense Disambiguation
Hulpus, Ioana; Hayes, Conor; Greene, Derek (FLAIRS 2012, 2012)Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ... -
Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks
Prangnawarat, Narumol; Hulpus, Ioana; Hayes, Conor (The 28th International FLAIRS Conference (AAAI Publications) (AAAI), 2015)In this paper, we propose a novel approach for social media event finding in order to support fast access to information that users find relevant. While there are many approaches related to this problem, they mainly focus ... -
Extracting and Utilizing Social Networks from Log Files of Shared Workspaces
Nasirifard, Peyman; Peristeras, Vassilios; Hayes, Conor; Decker, Stefan (Springer, 2009)Log files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social ... -
Kanopy: Analysing the Semantic Network around Document Topics
Hulpus, Ioana; Hayes, Conor; Karnstedt, Marcel; Greene, Derek; Jozwowicz, Marek (Springer, 2013)External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ... -
Life-cycles and mutual effects of scientific communities
Belák, Václav; Karnstedt, Marcel; Hayes, Conor (ASNA, 2011)Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications. While previous work has tried to explain and analyse such phenomena, there is still a great ... -
Modelling User Behaviour in Online Q&A Communities for Customer Support
Aumayr, Erik; Hayes, Conor (Springer, 2014)[no abstract available] -
On the correlation between topic and user behaviour in online communities
Aumayr, Erik; Hayes, Conor (ICWSM-16, 2016-05-20)In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ... -
On-the-Fly Adaptive Planning for Game-Based Learning
Hulpus, Ioana; Hayes, Conor (2010)In this paper, we present a model for competency development using serious games, which is underpinned by a hierarchical case-based planning strategy. In our model, a learner s objectives are addressed by retrieving a ... -
PandemCap: decision support tool for epidemic management
Yañez, Andrea; Duggan, Jim; Jilani, Musfira; Connolly, Maire; Hayes, Conor (NUI Galway, 2017-10-01)Pandemics or high impact epidemics are one of the biggest threats facing humanity today. While a complete elimination of the occurrence of such threats is improbable, it is possible to contain their impact by efficient ... -
The path to success: A study of user behaviour and success criteria in online communities
Aumayr, Erik; Hayes, Conor (ACM, 2017-08-23)Maintaining online communities is vital in order to increase and retain their economic and social value. That is why community managers look to gauge the success of their communities by measuring a variety of user behaviour, ... -
Path-based semantic relatedness on linked data and its use to word and entity disambiguation
Hulpus, Ioana; Prangnawarat, Narumol; Hayes, Conor (2015)Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ... -
Predicting citations from mainstream news, weblogs and discussion forum
Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (ACM (Association for Computing Machinery), 2017-08-23)The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ... -
Rapid Competence Development in Serious Games Using Case-Based Reasoning and Threshold Concepts
Hulpus, Ioana; Fradinho, Manuel; Hayes, Conor (2010)A major challenge in todays fast pace world is the acquisition of competence in a timely and efficient manner, whilst keeping the individual highly motivated. This paper presents a novel based on the use of serious games ... -
Reconstruction of Threaded Conversations in Online Discussion Forums
Aumayr, Erik; Jeffrey, Chan; Hayes, Conor (Fifth International AAAI Conference on Weblogs and Social Media, 2011-07-18)[no abstract available] -
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
Heitmann, Benjamin; Hayes, Conor (Springer, 2014-10-14)SemStim is a graph-based recommendation algorithm which is based on Spreading Activation and adds targeted activation and duration constraints. SemStim is not affected by data sparsity, the cold-start problem or data quality ... -
Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities
Aumayr, Erik; Hayes, Conor (NUI Galway, 2017-05-15)Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ... -
Targeting online communities to maximise information diffusion
Belák, Václav; Lam, Samantha; Hayes, Conor (Association for Computing Machinery, 2012-04)In recent years, many companies have started to utilise online social communities as a means of communicating with and targeting their employees and customers. Such online communities include discussion fora which are ...