Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Graphs over time: densification laws, shrinking diameters and possible explanations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The life and death of online gaming communities: a look at guilds in world of warcraft
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Collaboration over time: characterizing and modeling network evolution
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
The convergence of social and technological networks
Communications of the ACM - Remembering Jim Gray
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
Proceedings of the VLDB Endowment
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Empirical comparison of algorithms for network community detection
Proceedings of the 19th international conference on World wide web
Influential nodes in a diffusion model for social networks
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Using content and interactions for discovering communities in social networks
Proceedings of the 21st international conference on World Wide Web
Community cores in evolving networks
Proceedings of the 21st international conference companion on World Wide Web
Finding trendsetters in information networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 3rd Annual ACM Web Science Conference
| Hi-index | 0.00 |
There have been considerable efforts in the literature towards understanding and modeling dynamic aspects of scientific communities. Despite the great interest, little is known about the role that different members play in the formation of the underlying network structure of such communities. In this paper, we provide a wide investigation of the roles that members of the core of scientific communities play in the collaboration network structure formation and evolution. To do that, we define a community core based on an individual metric, core score, which is an h-index derived metric that captures both, the prolificness and the involvement of researchers in a community. Our results provide a number of key observations related to community formation and evolving patterns. Particularly, we show that members of the community core work as bridges that connect smaller clustered research groups. Furthermore, these members are responsible for an increase in the average degree of the whole community underlying network and a decrease on the overall network assortativeness. More important, we note that variations on the members of the community core tend to be strongly correlated with variations on these metrics. We argue that our observations are important for shedding a light on the role of key members on community formation and structure.