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A framework for quantifying controversy of social network debates using attributed networks: biased...

A framework for quantifying controversy of social network debates using attributed networks: biased...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919536684

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

About this item

Full title

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

Publisher

Vienna: Springer Vienna

Journal title

Social network analysis and mining, 2020-12, Vol.10 (1), p.90, Article 90

Language

English

Formats

Publication information

Publisher

Vienna: Springer Vienna

More information

Scope and Contents

Contents

All societies have been much more bipolar over the past few years, particularly after the emergence of online social networks and media. In fact, the gap between two ends of social spectrum is going to be even deeper after the spread of new media. In this circumstance, social polarization has been a growing concern among socialists and computer sci...

Alternative Titles

Full title

A framework for quantifying controversy of social network debates using attributed networks: biased random walk (BRW)

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2919536684

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919536684

Other Identifiers

ISSN

1869-5450

E-ISSN

1869-5469

DOI

10.1007/s13278-020-00703-1

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