Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1145/2392622.2392624 (literal)

Alternative label

• Arnaboldi Valerio, Conti Marco, La Gala Massimiliano, Passarella Andrea (2012)
  Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks
  in 1st ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, HotSocial 2012, Beijing, China, 12-16 August 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Arnaboldi Valerio, Conti Marco, La Gala Massimiliano, Passarella Andrea (literal)

Pagina inizio

• 9 (literal)

Pagina fine

• 16 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• ID_PUMA; /cnr.iit/2012-A2-047 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 8 (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-IIT, Pisa, Italy; CNR-IIT, Pisa, Italy; CNR-IIT, Pisa, Italy; CNR-IIT, Pisa, Italy; (literal)

Titolo

• Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-14-503-1549-4 (literal)

Abstract

• The vast proliferation of Online Social Networks (OSN) is generating many new ways to interact and create social relationships with others. While substantial results have been obtained in anthropology literature describing the properties of human social networks, a clear understanding of the properties of social networks built using OSN is still to be achieved. The presence of a huge amount of records containing users? communication history, provided by OSN, represents a new opportunity to analyse and better understand the human social behaviour. In this paper we present ego-net digger, a novel Facebook application for the analysis of ego networks in OSN. Ego-net digger collects users? social data and gives a representation of their personal social networks according to the Dunbar?s circles model. To show the potential of our application we analyse a sample data set collected during a data acquisition campaign, finding interesting similarities between the structure of Facebook ego networks and the properties found in the anthropology literature. Specifically, we find that, in our sample, there is a clear evidence of the presence of the same ego network structure - i.e., the Dunbar?s circles - as found in human social networks formed offline (literal)

Editore

• IEEE, Institute of electrical and electronics engineers (Editore)

Prodotto di

• Istituto di informatica e telematica (IIT) (Istituto)
• Ubiquitous Internet (INT.P01.001.001) (Modulo)

Autore CNR

• MASSIMILIANO LA GALA (Persona)
• ANDREA PASSARELLA (Persona)
• VALERIO ARNABOLDI (Unità di personale esterno)
• MARCO CONTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di informatica e telematica (IIT) (Istituto)
• Ubiquitous Internet (INT.P01.001.001) (Modulo)

Autore CNR di

• MARCO CONTI (Unità di personale interno)
• ANDREA PASSARELLA (Persona)
• VALERIO ARNABOLDI (Unità di personale esterno)
• MASSIMILIANO LA GALA (Persona)

Editore di

• IEEE, Institute of electrical and electronics engineers (Editore)

Insieme di parole chiave di

• Parole chiave di "Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks" (Insieme di parole chiave)