With the rapid advancement of mobile networking technology and the widespread availability of high-speed data connectivity, mobile phones have evolved into potent platforms for social networking. Macro von Arb et al. proposed a serverless friend-of-friend detection algorithm, successfully implemented on VENETA, a mobile social networking platform. In our analytical study, we delved into two fundamental aspects of social network analysis: vertex degree distribution and clustering coefficient. These metrics provide crucial insights into the connectivity patterns and community structures within the network. By scrutinizing these metrics in the context of the implemented algorithm, we aim to assess its effectiveness in fostering connections and facilitating social interactions among users on the platform.
Keywords : Secondary contact; veneta; serverless; friend of friend detection; mobile social networking; vertex degree distribution; initial contact.
Citation : Sreedhhar Bhukya ,K. VinayKumar and Santosh .N.C, “ A novel dynamic novel growth model for mobile social networks ”, Journal of Computer Allied Intelligence (JCAI), vol.02, no.01, pp.46-53,2024.