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We aim to identify building blocks of the networks and find It can help us spot anomalous graphs and outliers, forecast future graph structure and runĪnother important aspect of our research is the study of “local” patterns and structures In addition, our work has a wide range of applications: We then develop models that explain processes which govern the network evolution,įit such models to real networks, and use them to generate realistic graphs or give formalĮxplanations about their properties. Time evolving networks, which change some of the basic assumptions that were made in the

In our work we found very interesting and counterintuitive patterns for A basic premise behind the study of large networks is that interaction leads to complexĬollective behavior.

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