Temporal Multi-layer Network Construction from Major News Events

Sluban, Borut; Gr{\v{c}}ar, Miha; Mozeti{\v{c}}, Igor
Good news should answer the following questions: 'Who?', 'Where?', 'When?', 'What?', and possibly 'Why?'. We present an ap-proach which extracts interesting events from thousands of daily news. We construct a time-varying, three-layer network where the nodes are entities of interest in the news. The temporal aspect of the network an-swers the 'When?' question. The layers are: 1) the co-occurrence of enti-ties which answers the 'Who?' or 'Where?', 2) the summary layer which answers the 'What?', and 3) the sentiment layer which labels the links as 'good' or 'bad' news. We demonstrate the news network evolution over a period of four years in an interactive web portal.
Research areas:
Type of Publication:
In Proceedings
multi-layer networks; sentiment; sum-marization; temporal networks
Book title:
Proc. 7th Workshop on Complex Networks CompleNet
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