ML-SOR: Message routing using multi-layer social networks in opportunistic communications

Socievole, Annalisa; Yoneki, Eiko; Rango, Floriano De; Crowcroft, Jon

doi:10.1016/j.comnet.2015.02.016

Cited by 66 publications

(50 citation statements)

References 43 publications

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“…The hit ratio and transmission delay of the entire network are not affected. Reference [10] proposes a multi-layer social-network-based routing method, ML-SOR, which measures the forwarding capacity of nodes and selects an effective forwarding node in terms of center of nodes, connection strength and link prediction compared with the nodes encountered. Good routing performance can be achieved at a low cost.…”

Section: Related Workmentioning

confidence: 99%

An Effective Data Transmission Algorithm Based on Social Relationships in Opportunistic Mobile Social Networks

Yan

Chen

et al. 2018

Algorithms

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Abstract:With the popularization of mobile communication equipment, human activities have an increasing impact on the structure of networks, and so the social characteristics of opportunistic networks become increasingly obvious. Opportunistic networks are increasingly used in social situations. However, existing routing algorithms are not suitable for opportunistic social networks, because traditional opportunistic network routing does not consider participation in human activities, which usually causes a high ratio of transmission delay and routing overhead. Therefore, this research proposes an effective data transmission algorithm based on social relationships (ESR), which considers the community characteristics of opportunistic mobile social networks. This work uses the idea of the faction to divide the nodes in the network into communities, reduces the number of inefficient nodes in the community, and performs another contraction of the structure. Simulation results show that the ESR algorithm, through community transmission, is not only faster and safer, but also has lower transmission delay and routing overhead compared with the spray and wait algorithm, SCR algorithm and the EMIST algorithm.

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Section: Related Workmentioning

confidence: 99%

An Effective Data Transmission Algorithm Based on Social Relationships in Opportunistic Mobile Social Networks

Yan

Chen

et al. 2018

Algorithms

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“…Multidimensional approaches like the work of Brodka et al [14] where they define a multi-layer social network as a set of single-layered social graphs with fixed set of nodes and variation on their edges, the work of M. Magnani and L.Rossi [15] where was proposed a multidimensional model where each layer corresponded to an OSN and a node mapping function between those layers, the work of A. Socievole et al [13] where was presented a model with a routing protocol that makes use of multi-layer social networks to select nodes in order to act as message relays, or even the work of Forestier et al [16] where was proposed a multidimensional social network from online discussions with relations derived from structure and text content.…”

Section: Multidimensional Networkmentioning

confidence: 99%

Multidimensional Approach to Online Interest Networks

Barbosa¹,

Santos²

2017

dtcse

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Abstract. Online social networks allow users to socialise with others and also construct and manage their identities via self-presentation. This creates a network of interests that is often represented by a single network that aggregates all of the connections, however it is possible to increase the possibilities by dividing it into layers of individual networks. In this paper we propose a model for a multidimensional network of interests based on the interests that online social network users provide on their profiles. This multidimensional approach can be useful for getting insights about user behaviour or even help organisations understand the impact of their online content.

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“…Indeed, using a people-centric approach to middleware design, as promoted by Conti and Giordano [6] means understanding application usage in a particular context and designing communication accordingly. Such an approach is used by Socievole et al [28] who use information from online social media apps to predict physical encounters and thus adjust their opportunistic routing protocol accordingly. Future work should further investigate such opportunistic and people-centric middleware design.…”

Section: Tales From the Fieldmentioning

confidence: 99%