0000000000535878

AUTHOR

Atef Hamouda

showing 3 related works from this author

User and group networks on YouTube: A comparative analysis

2015

International audience; YouTube is the largest video-sharing social network where users (aka channels) can create links to any other users. Moreover, initially, users were allowed to create and join special groups of interest. Therefore, two types of online social networks can be defined. First, a user network where the nodes represent the users and the edges represent the social ties (friendship) between users. Second, a group network where the nodes represent the groups and the edges represent the social ties between groups, due to shared users. As the group network can be apprehended as the ground-truth overlapping community graph (where the nodes are the discovered communities and the l…

[ INFO ] Computer Science [cs]Social networkbusiness.industryComputer scienceCommunity structureComplex networkElectronic mailWorld Wide WebInterpersonal tiesEvolving networksGraph (abstract data type)Weighted network[INFO]Computer Science [cs]business
researchProduct

Community detection algorithm evaluation with ground-truth data

2018

International audience; Community structure is of paramount importance for the understanding of complex networks. Consequently, there is a tremendous effort in order to develop efficient community detection algorithms. Unfortunately, the issue of a fair assessment of these algorithms is a thriving open question. If the ground-truth community structure is available, various clustering-based metrics are used in order to compare it versus the one discovered by these algorithms. However, these metrics defined at the node level are fairly insensitive to the variation of the overall community structure. To overcome these limitations, we propose to exploit the topological features of the ‘communit…

Statistics and ProbabilityComputer science‘Community-graph’Community structureVariation (game tree)[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]Complex networkCondensed Matter Physics01 natural sciencesGraph010305 fluids & plasmasCommunity structureSet (abstract data type)0103 physical sciencesNetwork analysis010306 general physicsCluster analysisAlgorithmNetwork analysis
researchProduct

Overlapping community detection versus ground-truth in AMAZON co-purchasing network

2015

International audience; Objective evaluation of community detection algorithms is a strategic issue. Indeed, we need to verify that the communities identified are actually the good ones. Moreover, it is necessary to compare results between two distinct algorithms to determine which is most effective. Classically, validations rely on clustering comparison measures or on quality metrics. Although, various traditional performance measures are used extensively. It appears very clearly that they cannot distinguish community structures with different topological properties. It is therefore necessary to propose an alternative methodology more sensitive to the community structure variations in orde…

[ INFO ] Computer Science [cs]Computer sciencemedia_common.quotation_subject02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesClique percolation method010104 statistics & probability[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringQuality (business)[INFO]Computer Science [cs]0101 mathematicsCluster analysisnetwork analysismedia_commonGround truthoverlapping community networksbusiness.industryCommunity structurePurchasing[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsCommunity structure[SPI.TRON]Engineering Sciences [physics]/Electronicsdetection algorithmsoverlap- ping community networks020201 artificial intelligence & image processingAlgorithm designArtificial intelligenceData miningbusinesscomputerNetwork analysis
researchProduct