Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
On unbiased sampling for unstructured peer-to-peer networks
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
Parallel crawling for online social networks
Proceedings of the 16th international conference on World Wide Web
Proceedings of the first workshop on Online social networks
Growth of the flickr social network
Proceedings of the first workshop on Online social networks
The convergence of social and technological networks
Communications of the ACM - Remembering Jim Gray
APWEB '10 Proceedings of the 2010 12th International Asia-Pacific Web Conference
Walking in facebook: a case study of unbiased sampling of OSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
Reducing large internet topologies for faster simulations
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Allowing continuous evaluation of citizen opinions through social networks
EGOVIS'12/EDEM'12 Proceedings of the 2012 Joint international conference on Electronic Government and the Information Systems Perspective and Electronic Democracy, and Proceedings of the 2012 Joint international conference on Advancing Democracy, Government and Governance
Discovering links among social networks
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Bridge analysis in a Social Internetworking Scenario
Information Sciences: an International Journal
Moving from social networks to social internetworking scenarios: The crawling perspective
Information Sciences: an International Journal
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In new generation social networks, we expect that the paradigm of Social Internetworking Systems (SISs, for short) will be more and more important. In this new scenario, the role of Social Network Analysis is of course still crucial but the preliminary step to do is designing a good way to crawl the underlying graph. While this aspect has been deeply investigated in the field of social networks, it is an open issue when moving towards SISs. Indeed, we cannot expect that a crawling strategy which is good for social networks, is still valid in a Social Internetworking Scenario, due to its specific topological features. In this paper, we first confirm the above claim and, then, define a new crawling strategy specifically conceived for SISs. Finally, we show that it fully overcomes the drawbacks of the state-of-the-art crawling strategies.