Publikation:

Deep Twitter diving : exploring topical groups in microblogs at scale

Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2014

Autor:innen

Bhattacharya, Parantapa
Ghosh, Saptarshi
Mondal, Mainack
Zafar, Muhammad Bilal
Ganguly, Niloy
Gummadi, Krishna P.

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
DOI (zitierfähiger Link)
https://doi.org/10.1145/2531602.2531636
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung

Sammlungen

Politik- und Verwaltungswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

FUSSELL, Susan, ed. and others. CSCW '14 : Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing. New York, NY: ACM, 2014, pp. 197-210. ISBN 978-1-4503-2540-0. Available under: doi: 10.1145/2531602.2531636

Zusammenfassung

We present a semantic methodology to identify topical groups in Twitter on a large number of topics, each consisting of users who are experts on or interested in a specific topic. Early studies investigating the nature of Twitter suggest that it is a social media platform consisting of a relatively small section of elite users, producing information on a few popular topics such as media, politics, and music, and the general population consuming it. We show that this characterization ignores a rich set of highly specialized topics, ranging from geology, neurology, to astrophysics and karate - each being discussed by their own topical groups. We present a detailed characterization of these topical groups based on their network structures and tweeting behaviors. Analyzing these groups on the backdrop of the common identity and bond theory in social sciences shows that these groups exhibit characteristics of topical-identity based groups, rather than social-bond based ones.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Topical groups; identity-based groups; Twitter; topical experts; seekers of topical information;

Konferenz

CSCW '14: 17th ACM conference on Computer supported cooperative work & social computing, 15. Feb. 2014 - 19. Feb. 2014, Baltimore, MD
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690BHATTACHARYA, Parantapa, Saptarshi GHOSH, Juhi KULSHRESTHA, Mainack MONDAL, Muhammad Bilal ZAFAR, Niloy GANGULY, Krishna P. GUMMADI, 2014. Deep Twitter diving : exploring topical groups in microblogs at scale. CSCW '14: 17th ACM conference on Computer supported cooperative work & social computing. Baltimore, MD, 15. Feb. 2014 - 19. Feb. 2014. In: FUSSELL, Susan, ed. and others. CSCW '14 : Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing. New York, NY: ACM, 2014, pp. 197-210. ISBN 978-1-4503-2540-0. Available under: doi: 10.1145/2531602.2531636
BibTex
@inproceedings{Bhattacharya2014Twitt-53939,
  year={2014},
  doi={10.1145/2531602.2531636},
  title={Deep Twitter diving : exploring topical groups in microblogs at scale},
  isbn={978-1-4503-2540-0},
  publisher={ACM},
  address={New York, NY},
  booktitle={CSCW '14 : Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing},
  pages={197--210},
  editor={Fussell, Susan},
  author={Bhattacharya, Parantapa and Ghosh, Saptarshi and Kulshrestha, Juhi and Mondal, Mainack and Zafar, Muhammad Bilal and Ganguly, Niloy and Gummadi, Krishna P.}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/53939">
    <dc:creator>Zafar, Muhammad Bilal</dc:creator>
    <dc:contributor>Mondal, Mainack</dc:contributor>
    <dc:contributor>Bhattacharya, Parantapa</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Ganguly, Niloy</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-06-10T07:37:38Z</dc:date>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-06-10T07:37:38Z</dcterms:available>
    <dcterms:abstract xml:lang="eng">We present a semantic methodology to identify topical groups in Twitter on a large number of topics, each consisting of users who are experts on or interested in a specific topic. Early studies investigating the nature of Twitter suggest that it is a social media platform consisting of a relatively small section of elite users, producing information on a few popular topics such as media, politics, and music, and the general population consuming it. We show that this characterization ignores a rich set of highly specialized topics, ranging from geology, neurology, to astrophysics and karate - each being discussed by their own topical groups. We present a detailed characterization of these topical groups based on their network structures and tweeting behaviors. Analyzing these groups on the backdrop of the common identity and bond theory in social sciences shows that these groups exhibit characteristics of topical-identity based groups, rather than social-bond based ones.</dcterms:abstract>
    <dcterms:title>Deep Twitter diving : exploring topical groups in microblogs at scale</dcterms:title>
    <dc:contributor>Kulshrestha, Juhi</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53939"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Ghosh, Saptarshi</dc:contributor>
    <dc:creator>Gummadi, Krishna P.</dc:creator>
    <dc:creator>Ganguly, Niloy</dc:creator>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Kulshrestha, Juhi</dc:creator>
    <dc:contributor>Zafar, Muhammad Bilal</dc:contributor>
    <dc:creator>Mondal, Mainack</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dc:creator>Ghosh, Saptarshi</dc:creator>
    <dcterms:issued>2014</dcterms:issued>
    <dc:contributor>Gummadi, Krishna P.</dc:contributor>
    <dc:creator>Bhattacharya, Parantapa</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen