semantics in social networks

semantics insocial networksan example of academic interest

+ + =two biases.

hubbub 2.0

changed status

published a picture

added a connection

commented

says hello

LOL

sends poker invitation

likes your slides

beetweenness centrality reveals brokers« A place for good ideas » [Burt 1992] [Burt 2004]

sociograms and analysis

multiple roles,profiles, contexts, etc.

one graph structure doesn’t fit all.

FabienFabiencreatorcreator

authorauthor

ManMan

typedoc.htmldoc.html

author

Semantic web is not antisocialSemantic web is not antisocial

PersonPerson

ManMan

sub property sub class

semantic web

title

graphs, graphs, graphs, …

FabienFabien

MarcoMarco GuillaumeGuillaume

NicolasNicolas

MichelMichel

RémiRémi

social network analysis

),(;)( pxrelxpdin

4)( Guillaumedin

creator

PersonPerson

type

SW&SN some contributions…propagating trust [Goldbeck et al. 2003]

structural characteristics [Finin et al. 2005] applying classic SNA [Paolillo et al. 2006]

merging profiles [Goldbeck &Rothstein 2008]

extending SPARQL [Corby et al 2004] [Anyanwuet al. 2007] [Kochut et al 2007] [Baget et al, 2007] [Corby 2008]

describe persons http://xmlns.com/foaf/0.1/[Brickley & Miller 2004]

http://vocab.org/relationship/type relations[Davis & Vitiello, 2004]

parentsibling

motherfatherbrothersister

colleague

knowsGérard

FabienMylène

MichelYvonne

father

sister

mother

colleague

colleague

<family> (guillaume)=5d(guillaume)=3guillaume

c.f. [Erétéo et al.]

typed path extractioncolleague of, colleague of, (...) the manager of someone

select ?from ?to{ ?from (rel:worksWith*/rel:manages)::$path ?to filter(pathLength($path) <= 6)} group by ?from

http://tinyurl.com/corese-enginec.f. [Corby et al.]

ipernity.com dataset in RDF61 937 actors & 494 510 relationships–18 771 family links between 8 047 actors–136 311 friend links implicating 17 441 actors –339 428 favorite links for 61 425 actorsetc.

e.g. different strategic actors depending on the link types

c.f. [Erétéo et al.]

SemSNA Schemaannotating the networks with their characteristics

high centrality

c.f. [Erétéo et al.]

flat folksonomies

SW&Tags some contributions…manual structuring[Tanasescu et al., 2007] [Huynh-Kim Bang et al. , 2008]

(semi-) automatic structuring[Mika, 2005][Heymann et al., 2006] [Schmitz, 2006][Halpin et al., 2007-2009] [Cattuto et al., 2008] [Markines et al., 2009][Specia et al., 2007] [Begelman et al., 2006]

using external resources[Good et al., 2007] [Passant et al., 2007] [Specia et al., 2007][Cattuto et al., 2008][Giannakidou et al., 2008][Ronzano et al., 2008] [Tesconi et al., 2008]

schemas for interoperability[Gruber, 2005] [Newman et al., 2005] [Breslin et al., 2005][Kim et al., 2007][Passant et al., 2008]

semantically-interlinked online communities

[Breslin et al., 2005]

[Newman et al., 2005][Kim et al., 2007]

Tag Ontology& SCOT

SKOS & tags

MOAT[Passant, 2009]

VoCamp.orge.g. tag as named graphs

Washington, DC

Nice, France

Oxford, UK

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

c.f. [Limpens et al.]

social webs & intranets

isicil.inria.fr

• enterprise social networking• business intelligence, watching, monitoring• communities of interest, of practice, of experts

integrating with internal IT landscapec.f. [Delaforge et al.]

application contributions…security and access controlFOAF+SSL [Story, 2008]

trust based service composition[Kuter & Golbeck, 2009]

policy aware content reuse[Seneviratne et al., 2009]

social enrichment and ranking[Choudhury et al., 2009]

context & augmented interactions Live Social Semantics [Alani et al. 2008]

identity management[Matthew Rowe, 2009]

interlinked social sitesDrupal [Corlosquet et al., 2009]

…

many other topics…social journalism, social enterprise, social data governance, social healthcare, open social, security and privacy, provenance & trust, etc.

take homemessages

semantic social network analysis stackexploit the semantic of typed social graphs

linked open dataas the underlying infrastructure[Berners-Lee, 2009]

= more precise analysis

typed networks+ parameterized operators

accuracy

fragmented identitiespros and cons of

Aaron Nace ©

owl:sameAs

Fabien Bafien

=

owl:differentFrom

Magic SemanticHagrid Hagrid

≠

= more flexible framework

extensible open models+ declarative query language

evolution

timein the models and in the analysis

scale

security

...

semioticshypermnesia

mobile

http://fabien.infosee also slideshare

Fabien.Gandon@sophia.inria.fr