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Now showing items 11-20 of 35
The path to success: A study of user behaviour and success criteria in online communities
(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, ...
Social impact assessment of scientist from mainstream news and weblogs
(Springer Verlag, 2017-10-14)
Research policy makers, funding agencies, universities and government organizations evaluate research output or impact based on the traditional citation count, peer review, h-index and journal impact factors. These impact ...
Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach
(IEEE, 2016-11-24)
The realization that scholarly publications are discussed and have influence on discourse outside scientific and academic domains has given rise to area of scientometrics called alternative metrics or “altmetrics”. ...
Predicting citations from mainstream news, weblogs and discussion forum
(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 ...
Churn in Social Networks
(Springer, 2010)
Telcom networks, online gaming communities, online communities and discussion forums all have one thing in common: they all can be represented by a network of the social links between people. The links in this social network ...
PandemCap: decision support tool for epidemic management
(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 ...
Enabling case-based reasoning on the web of data
(2010-07-20)
While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how CBR can operate ...
SemStim at the Linked Open Data-enabled Recommender Systems 2014 challenge
(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 ...
Path-based semantic relatedness on linked data and its use to word and entity disambiguation
(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 ...
A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning
(Springer, 2014)
Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional ...