Book Details

Statistical Network Analysis: Models, Issues, and New Directions

Publication year: 2007

: 978-3-540-73133-7

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This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to this domain cons- erably later, but they enriched the array of models and approaches and began to tackle much larger networks and more complex forms of data.


: Computer Science, Online, calculus, distributed networks, dynamical networks, evolving networks, genetic algorithms, graph drawing, machine learning, modeling, network analysis, network computing, network hierarchies, network modeling, organization, self-organizing systems