By Eric D. Kolaczyk
Lately there was an explosion of community information – that's, measu- ments which are both of or from a approach conceptualized as a community – from se- ingly all corners of technological know-how. the combo of an more and more pervasive curiosity in scienti c research at a platforms point and the ever-growing functions for hello- throughput facts assortment in a number of elds has fueled this pattern. Researchers from biology and bioinformatics to physics, from desktop technology to the data sciences, and from economics to sociology are a growing number of engaged within the c- lection and statistical research of information from a network-centric standpoint. for this reason, the contributions to statistical equipment and modeling during this zone have come from a equally large spectrum of parts, usually independently of one another. Many books have already got been written addressing community info and community difficulties in speci c person disciplines. although, there's at the present no unmarried booklet that gives a latest therapy of a center physique of information for statistical research of community info that cuts around the quite a few disciplines and is geared up quite in keeping with a statistical taxonomy of projects and strategies. This booklet seeks to ll that hole and, as such, it goals to give a contribution to a starting to be pattern in recent times to facilitate the trade of information around the pre-existing barriers among these disciplines that play a job in what's coming to be referred to as ‘network technological know-how.
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