Finding the semantic-level precursors on a blog network
1
CAMS -
Centre d'Analyse et de Mathématique sociales
2 CMB - Centre Marc Bloch
3 CREA - Centre de recherche en épistémologie appliquée
4 ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France
5 UNIS - University of Surrey
6 SenS - Sciences en Société
7 IFRIS - Institut francilien recherche, innovation et société
2 CMB - Centre Marc Bloch
3 CREA - Centre de recherche en épistémologie appliquée
4 ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France
5 UNIS - University of Surrey
6 SenS - Sciences en Société
7 IFRIS - Institut francilien recherche, innovation et société
Telmo Menezes
- Fonction : Auteur
- PersonId : 176155
- IdHAL : telmo-menezes
- ORCID : 0000-0001-7204-6428
Camille Roth
- Fonction : Auteur
- PersonId : 1042429
- IdHAL : camille-roth
- ORCID : 0000-0003-3925-7957
Jean-Philippe Cointet
- Fonction : Auteur
- PersonId : 10464
- IdHAL : jean-philippe-cointet
- ORCID : 0000-0002-3172-3960
- IdRef : 148084109
Résumé
In this work, we study semantic-level precedence relationships between participants in a blog network. Our methodology has two steps: a process to identify units of discussion at the semantic level and a probabilistic framework to estimate temporal relationships between blogs, in terms of the order in which they arrive at those units of discussion. We propose dyadic precursor scores that can be used to construct semantic-level precedence networks. From these scores, we derive global precursor and laggard scores. Dyadic precursor scores are compared with URL linking to show that the semantic-level temporal relationships we estimate are an indicator of influence. Global scores are compared to traditional link degree and PageRank metrics, and we uncover relationships between semantic-level temporal behaviour and popularity. We show that our method reveals information about the network that could not be obtained from structural links alone.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Finding the semantic-level precursors on a blog network
|
Résumé |
en
In this work, we study semantic-level precedence relationships between participants in a blog network. Our methodology has two steps: a process to identify units of discussion at the semantic level and a probabilistic framework to estimate temporal relationships between blogs, in terms of the order in which they arrive at those units of discussion. We propose dyadic precursor scores that can be used to construct semantic-level precedence networks. From these scores, we derive global precursor and laggard scores. Dyadic precursor scores are compared with URL linking to show that the semantic-level temporal relationships we estimate are an indicator of influence. Global scores are compared to traditional link degree and PageRank metrics, and we uncover relationships between semantic-level temporal behaviour and popularity. We show that our method reveals information about the network that could not be obtained from structural links alone.
|
Auteur(s) |
Telmo Menezes
1, 2
, Camille Roth
3, 4, 1, 5
, Jean-Philippe Cointet
3, 4, 6, 7
1
CAMS -
Centre d'Analyse et de Mathématique sociales
( 1318 )
- 54 boulevard Raspail 75006 Paris
- France
2
CMB -
Centre Marc Bloch
( 84774 )
- Friedrichstr. 191 D-10117 Berlin
- Allemagne
3
CREA -
Centre de recherche en épistémologie appliquée
( 1173 )
- ROUTE DE SACLAY 91128 PALAISEAU CEDEX
- France
4
ISC-PIF -
Institut des Systèmes Complexes - Paris Ile-de-France
( 46714 )
- 57-59 rue Lhomond 75005 Paris
- France
5
UNIS -
University of Surrey
( 50592 )
- Guildford Surrey GU2 7XH
- Royaume-Uni
6
SenS -
Sciences en Société
( 128571 )
- Bois de l'Etang, 5 Bd Descartes, Champs sur Marne, F-77454 Marne-la-Vallée
- France
7
IFRIS -
Institut francilien recherche, innovation et société
( 111161 )
- IFRIS / UPEMLV Cité Descartes 5 boulevard Descartes Champs sur Marne 77454 Marne-la-Vallée Cedex 2
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Page/Identifiant |
115--134
|
Audience |
Internationale
|
Date de publication |
2011
|
Volume |
1
|
Numéro |
2
|
Public visé |
Scientifique
|
Version du document |
version éditeur
|
Voir aussi |
|
Domaine(s) |
|
Mots-clés |
en
network dynamics
|
ProdINRA | 223286 |
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