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Many natural and technological applications generate time-ordered sequences of networks, defined over a fixed set of nodes; for example, time-stamped information about "who phoned who" or "who came into contact with who" arise naturally in studies of communication and the spread of disease. Concepts and algorithms for static networks do not immediately(More)
The plethora, and mass take up, of digital communication technologies has resulted in a wealth of interest in social network data collection and analysis in recent years. Within many such networks the interactions are transient: thus those networks evolve over time. In this paper we introduce a class of models for such networks using evolving graphs with(More)
The class III gene transcription factor termed TFIIIC has been extensively purified from Saccharomyces cerevisiae. Three polypeptides of 138, 131, and 95 kDa consistently copurified with TFIIIC transcription factor activity. These polypeptides were present in approximately equimolar quantities in all TFIIIC preparations. To determine which, if any, of these(More)
The yeast gene encoding the 95-kDa subunit of the class III gene transcription factor TFIIIC was cloned. This gene, termed TFC1 (transcription factor C, gene 1), was isolated by screening a lambda gt11 yeast cDNA expression library using a polyclonal antiserum preparation which was previously shown to specifically recognize the 95-kDa subunit of yeast(More)
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