Initialization of profile and social network analyses robot and platform with a concise systematic review

Abstract

This paper presents profile and social network analyses on concise systematic review corpora. It suggests two new robots and platforms for profile and social network analyses, that will serve previously proposed data, expert, and event-driven robots and platforms for energy and power industry. The literature is collected and stored in three topic clusters “location”, “investment”, and “DEMATEL” to prepare corpora. Twenty-five publications are selected in each sample corpus. A sample dataset of each corpus is prepared for thirty-one features such as “author’s full name and surname”, “applied methods”, and “publisher”. Afterward, “authors network matrices” are prepared in spreadsheet software. Data input files (*.csv) are prepared for each dataset. Gephi 0.9.2 201709241107 (free open-source software) is used for social network analyses with built-in layout and statistics algorithms on a desktop Windows 10 Pro, Intel(R) Core(TM) i5 CPU 650 @ 3.20 GHz, 6,00 GB RAM personal computer in an offline and active cybersecurity software environment. Force Atlas, Force Atlas 2, Fruchterman–Reingold, OpenOrd, Yifan Hu, and Yifan Hu Proportional layout algorithms with Noverlap layout algorithm are run one by one. Runtimes range 2–120 s. All default statistic algorithms are run for several metrics like average degree, average weighted degree, betweenness centrality, closeness centrality, harmonic closeness centrality, eccentricity, and density. Authors in “location” cluster have a centralized network, but authors in “investment” and “DEMATEL” clusters have distributed networks. General profile analyses are conducted based on authors’ publications in the literature without any data and information on social media sites and platforms. Two new profile analysis metrics are proposed as “researcher’s past research focus index”, and “researcher’s future research focus prediction index”. Detailed profile analysis is performed for only Burak Omer Saracoglu. All analyses and findings are compared and summarized in the end.

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.