Mapping Communication Infrastructure Theory Onto Twitter: Network Integration and Neighborhood Storytelling.
Guided by communication infrastructure theory (CIT), this study examined residents' integration to the neighborhood storytelling network and its association with neighborhood storytelling. The ego networks of the local ties of 350 residents and their timelines were obtained from Twitter's search app...
| Publicado en: | International Journal of Communication (19328036) Vol. 12; pp. 4292 - 4313 |
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| Autores principales: | , |
| Formato: | Artículo |
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University of Southern California, USC Annenberg Press
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=139171653&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 139171653 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 19328036 3836 jtl: International Journal of Communication (19328036) issn: 19328036 maglogo: N pubinfo: dt: 2018 vid: 12 pid: 16336 pub: University of Southern California, USC Annenberg Press artinfo: ui: 139171653 ppf: 4292 ppct: 21 formats: tig: atl: Mapping Communication Infrastructure Theory Onto Twitter: Network Integration and Neighborhood Storytelling. aug: au: ZHENG AN MENDIOLA-SMITH, LUANA affil: University of Hawaii at Hilo, USA su: Twitter (Web resource) Storytelling Cartography Communication infrastructure Application program interfaces sug: subj: Storytelling Geophysical Surveying and Mapping Services Cartography Communication infrastructure Application program interfaces Twitter (Web resource) keyword: communication infrastructure theory neighborhood storytelling network density network size communication infrastructure theory neighborhood storytelling network density network size ab: Guided by communication infrastructure theory (CIT), this study examined residents' integration to the neighborhood storytelling network and its association with neighborhood storytelling. The ego networks of the local ties of 350 residents and their timelines were obtained from Twitter's search application programming interface (API). Residents' integration to the neighborhood storytelling network was operationalized as network size and network density. The results show that both network size and network density positively predicted neighborhood storytelling. When local ties were classified into types, residents who followed more geo-ethnic media accounts and other local residents participated more in neighborhood storytelling. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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