Data transfer over the Internet comes with its range of challenges and associated prospects as a major milestone in the convergence of information and communication technology (ICT). Campus network implemented on IP-telephony defines a range of convergence technologies and applications that refers to a multi-service network that allows integration of data, audio, voice, and video solutions onto a converged infrastructure so that data can be transported via the use of open-source applications, protocols, hardware, and software. The study adopts the Federal College of Education Technical Asaba. It is observed that some issues in its implementation include packet loss, jitters, and latency. Jitters and packet loss can be curbed via an increased bandwidth allocation; while latency is minimized via constant upgrade in network infrastructure to increase speed. Overall, the proposed network seeks to provide its users with mobility, resilience, economy, flexibility, and productivity. Its results recommends that organizations wishing to harness its potentials should join forums and user-groups that will constantly update their knowledge in a bid to help them improve the efficiency and effectiveness of their infrastructure implementation..

Significant research into the logarithmic analysis of complex networks yields solution to help minimize virus spread and propagation over networks. This task of virus propagation is been a recurring subject, and design of complex models will yield modeling solutions used in a number of events not limited to and include propagation, dataflow, network immunization, resource management, service distribution, adoption of viral marketing etc. Stochastic models are successfully used to predict the virus propagation processes and its effects on networks. The study employs SI-models for independent cascade and the dynamic models with Enron dataset (of e-mail addresses) and presents comparative result using varied machine models. Study samples 25,000 emails of Enron dataset with Entropy and Information Gain computed to address issues of blocking targeting and extent of virus spread on graphs. Study addressed the problem of the expected spread immunization and the expected epidemic spread minimization; but not the epidemic threshold (for space constraint).