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Full paper submission deadline: CLOSED
Publication date: September/October 2020
The Page Rank algorithm ignited Google. A knowledge graph empowers Amazon. Facebook and other social media thrive on graph search and routing algorithms. Together, these powerful “graph algorithms” have literally enlivened billion-dollar industries. They have also invaded our privacy by profiling virtually everyone, even those who avoid the grid, often to wantonly market to us. Most recently, rogue manipulation of these algorithms fuel suspicion of election meddling on the global stage. Positively, however, these algorithms have been shown to hold the potential to unlock formerly hidden secrets of nature. Their benefits in matters of environmental management and health care are just coming to light. Indeed, there can be no question that this far-reaching new family of powerful algorithms have touched us all in one way or another. Regrettably, however, few citizens really appreciate how and why they really work and what they really do. The underlying graph mathematics appear vague and strangely non-linear. Significantly, however, they undergird a major new branch of science, known as Network Science.
Network Science, an interdisciplinary approach make practical sense of networks, engages both constructed and natural networks. An unintended consequence of the Internet, networks have become increasingly relevant in recent decades. Networks, however, are far from static, demonstrating complex dynamic behavior over time. Nor do networks adhere to classic Newtonian physics, as they tend to blur any direct distinctions between cause and effect, again where time is a crucial factor. The number of PhD programs in Network Science is growing, yet the foundational principles have yet to show up in fundamental education. This call for papers seeks to enlighten the IT professional on both the value and threats of applied Network Science. Suggested topics sought include, but are not limited to:
Only submissions that describe previously unpublished, original, state-of-the-art research and that are not currently under review by a conference or journal will be considered. Extended versions of conference papers must be at least 30 percent different from the original conference works.
Feature articles should be no longer than 4,200 words and have no more than 20 references (with tables and figures counting as 300 words each). For author guidelines, including sample articles, see www.computer.org/portal/web/peer-review/magazines.
All manuscripts must be submitted to ScholarOne Manuscripts (https://mc.manuscriptcentral.com/itpro-cs) by 15 April 2020 in order to be considered for publication.
Submissions are subject to peer review on both technical merit and relevance to IT Pro’s readership.
Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts.
Questions? Please direct any correspondence before submission to the guest editors George Hurlburt and Jeff Voas at it5-2020@computer.org.
For author guidelines and information on how to submit a manuscript, visit www.computer.org/portal/web/peer-review/magazines. For full paper submission, please visit https://mc.manuscriptcentral.com/itpro-cs.
