Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/9923
Title: Social networks data mining using visual analytics
Authors: Ξύδας, Ιωάννης
Νικολοπούλου, Νάντια
Μιαούλης, Γεώργιος
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Social Networks;Data Mining;Social Network Data Mining;Visual analytics;Social Network Visualization;Twitter Visualization;Κοινωνικά δίκτυα;Εξόρυξη δεδομένων;Εξόρυξη δεδομένων από κοινωνικά δίκτυα;Οπτική αναλυτική;Απεικόνιση δεδομένων κοινωνικών δικτύων;Απεικόνιση δεδομένων twitter
Subjects: Technology
Computer science
Τεχνολογία
Πληροφορική
Issue Date: 8-May-2015
May-2011
Date of availability: 8-May-2015
Publisher: Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας
Technological Educational Institute of Athens
Abstract: Internet - based social networks are facilities (typically web sites) where people can form online communities, connect to each other and share information. This paper explores the are a of applying visual analytics to represent data and underlying relationships in social networks – more specifically, on the Twitter micro - blogging service. Networks of this kind can be treated as graphs, where each node corresponds to a user or a specific piece of information and edges connect such nodes representing relationships. Visualizing graphs is a vast research area i n its own right, with numerous applications in science and engineering. In this assignment we are using readily - available software to visualize parts of the network , via filtering or other operations, in order to be able to draw conclusions . Social networks are an excellent candidate to apply visual analytics to , due to their exponential growth when new users join
Language: English
Citation: Nikolopoulou, K., Xydas, I. and Miaoulis, G. (2011) Social networks data mining using visual analytics. In "31A International Conference on Computer Graphics and Artificial Intelligence". Athens: Technological Educational Institute of Athens. Available from: http://users.teiath.gr/yxydas/Paper4_xydas.pdf [Accessed: 08/05/2015].
Conference: 31A International Conference on Computer Graphics and Artificial Intelligence
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/9923
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