Photo credit: Adapted from de Rosnay (1979) The Macroscope: A New World Scientific System. New York: Harper & Row. by Katy Börner and Perla Mateo-Lujan
A major work by SpringerReference (2014) includes three entries by ILS faculty members - see notes below. The book is 2437 pages long and has 611 illustrations.
- Encyclopedia of Social Network Analysis and Mining - edited by Reda Alhaji and Jon Rokne.
Chapters by ILS faculty:
- Plug-and-Play Macroscopes: Network Workbench (NWB), Science of Science Tool (Sci2) and Epidemiology Tool (Epic) - By Katy Börner
"Decision making in science, industry, and politics, as well as in daily life, requires taht we make sense of data sets representing the structure and dynamics of complex systems. Macroscopes provide a "vision of the whole," helping us "synthesize" the related elements and enabling us to detect patterns, trends, and outliers, while granting access to myriad details. Rather than make things larger or smaller, macroscopes let us observe what is at once too great, slow, or complex for the human eye and mind to notice and comprehend."
- Pornography online - by Blaise Cronin
"We live, and it is neither an invitation to moral panic nor an instance of hyperbole to resort to such language, in an age of public sexuality... Today, no form of pornography, soft, or hard, indecent or obscene, licit or illicit, amateur or professional, commercial or homespun, is more than a few keystrokes away: 'pornucopia' is a popular portmanteau to describe this new, lewd hypermediated world, a world offering more genres and sub-genres of pornographic material than most people could imagine."
- Scholarly networks analysis - by Ying Ding and Erjia Yan (ILS - Ph.D. alumnus)
"Studies on scholarly networks usually chose one type of network at one aggregation level. The choice of type of network can be inconsistent or even arbitrary, and the finding have been discrete and cannot be generalized to address a wider spectrum of research questions. We recommend that, in order to capture varied aspects of research interactions, different types of networks need to be combined and thus form a hybrid network. Beyond hybrid approaches, scholars have proposed heterogeneous scholarly networks to incorporate different academic entities while keeping edge semantics. Study of the heterogeneous networks has evolved from bi-typed networks to star-typed heterogeneous networks. By adding more academic entities (e.g., authors, journals, articles, words, etc.), heterogeneous networks can better simulate the mutual engagement of various academic entities in the complex academic environment."