Matches in ScholarlyData for { ?s ?p ?o. }
- 14 title "Identifying Communicator Roles in Twitter".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent ramine-tinati.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent leslie-carr.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent wendy-hall.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent jonny-bentwood.
- item-4 previous item-3.
- 16 creator alice-albano.
- 16 creator benedicte-le-grand.
- 16 creator jean-loup-guillaume.
- 16 type InProceedings.
- 16 label "File diffusion in a dynamic peer-to-peer network".
- 16 sameAs 16.
- 16 abstract "Many studies have been made on diffusion in the field of epidemiology, and in the last few years, the development of social networking has induced new types of diffusion. In this paper, we focus on file diffusion on a peer-to-peer dynamic network using eDonkey protocol. On this network, we observe a linear behavior of the actual file diffusion. This result is interesting, because most diffusion models exhibit exponential behaviors. In this paper, we propose a new model of diffusion, based on the SI (Susceptible / Infected) model, which produces results close to the linear behavior of the observed diffusion. We then justify the linearity of this model, and we study its behavior in more details.".
- 16 hasAuthorList authorList.
- 16 isPartOf proceedings.
- 16 keyword "diffusion model".
- 16 keyword "file diffusion".
- 16 keyword "peer-to-peer network".
- 16 title "File diffusion in a dynamic peer-to-peer network".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent alice-albano.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent jean-loup-guillaume.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent benedicte-le-grand.
- item-3 previous item-2.
- 18 creator jean-loup-guillaume.
- 18 creator massoud-seifi.
- 18 type InProceedings.
- 18 label "Stability of community cores in evolving networks".
- 18 sameAs 18.
- 18 abstract "Community structure is a key property of complex networks. Many algorithms have been proposed to automatically detect communities in static networks but few studies have considered the detection and tracking of communities in evolving networks. Tracking the evolution of a given community over time requires a clustering algorithm that produces stable clusters. However, most community detection algorithms are very unstable and therefore unsuitable for evolving networks. In this paper, we use the methodology proposed in \cite{seifi2012} to detect \textit{community cores} in evolving networks. We show that cores are much more stable than communities obtained by classical methods on a simulated and a real evolution. We also show that our method can overcome the disadvantages of the stabilized methods.".
- 18 hasAuthorList authorList.
- 18 isPartOf proceedings.
- 18 keyword "Complex networks".
- 18 keyword "community cores".
- 18 keyword "community structure".
- 18 keyword "evolving networks".
- 18 keyword "stability".
- 18 title "Stability of community cores in evolving networks".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent massoud-seifi.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent jean-loup-guillaume.
- item-2 previous item-1.
- 19 creator arlei-silva.
- 19 creator loic-cerf.
- 19 creator mehdi-kaytoue.
- 19 creator wagner-meira.
- 19 creator chedy-ra%C3%AFssi.
- 19 type InProceedings.
- 19 label "Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming".
- 19 sameAs 19.
- 19 abstract "In the last decade, "Electronic sport" (E-Sport) emergence as an up-and-coming entertainment genre attracted a growing number of professional gamers, fans and sponsors. As a logical and natural result, new types of online communities have appeared and spread over classical social medias such as Facebook and Twitter. In a surprising recent social study, casual video game players admit to prefer watching professional gamers rather than playing the game by themselves. Within this context, gumptious companies like Twitch.tv are actively trying to promote the streaming live video media, with its social interactions, as a way to democratize electronic sport.Our aim in this study is to give a first insight into the fast evolving community of electronic sport by analysing Twitch audience. We crawled a list of active streams and their respective number of viewers for a period spanning from September 29th, 2011 to January 09th, 2012. This huge volume of data allows us to answer several questions of interest for this community such as finding, explaining and predicting the most popular games, trends and players.This essay argues that concepts of electronic sport are becoming a new kind of online entertainment and that researchers in social networks dynamics and industrial partners should study and understand.".
- 19 hasAuthorList authorList.
- 19 isPartOf proceedings.
- 19 keyword "E-sport".
- 19 keyword "Popularity prediction".
- 19 keyword "Ranking".
- 19 keyword "Social community".
- 19 keyword "Twitch.tv".
- 19 keyword "Video game".
- 19 title "Watch me Playing, I am a Professional: a First Study on Video Game Live Streaming".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.