Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring the power of social hub services
Fudan University, China.
Fudan University, China.
Fudan University, China.
Fudan University, China.
Show others and affiliations
2018 (English)In: World wide web (Bussum), ISSN 1386-145X, E-ISSN 1573-1413Article in journal (Refereed) Epub ahead of print
Abstract [en]

Given the diverse focuses of emerging online social networks (OSNs), it is common that a user has signed up on multiple OSNs. Social hub services, a.k.a., social directory services, help each user manage and exhibit her OSN accounts on one webpage. In this work, we conduct a data-driven study by crawling over one million user profiles from about.me, a representative online social hub service. Our study aims at gaining insights on cross-OSN social influence from the crawled data. We first analyze the composition of the social hub users. For each user, we collect her social accounts from her social hub webpage, and aggregate the content generated by these accounts on different OSNs to gain a comprehensive view of this user. According to our analysis, there is a high probability that a user would provide consistent information on different OSNs. We then explore the correlation between user activities on different OSNs, based on which we propose a cross-OSN social influence prediction model. With the model, we can accurately predict a user’s social influence on emerging OSNs, such as Instagram, Foursquare, and Flickr, based on her data published on well-established OSNs like Twitter.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Machine learning, Measurement, Online social networks, Social hub services, Social influence, Learning systems, Social networking (online), Directory service, Gaining insights, High probability, On-line social networks, Online social networks (OSNs), User activity, Economic and social effects
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-36927DOI: 10.1007/s11280-018-0633-7Scopus ID: 2-s2.0-85053864788OAI: oai:DiVA.org:ri-36927DiVA, id: diva2:1274159
Available from: 2018-12-28 Created: 2018-12-28 Last updated: 2019-01-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Ben Abdesslem, Fehmi

Search in DiVA

By author/editor
Ben Abdesslem, Fehmi
By organisation
SICS
In the same journal
World wide web (Bussum)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.7