کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5770297 1629412 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A critical review on the research topic system of soil heavy metal pollution bioremediation based on dynamic co-words network measures
ترجمه فارسی عنوان
بازبینی انتقادی در مورد سیستم موضوعی تحقیق در زمینه آلودگی آلودگی به فلزات سنگین بر اساس روش های شبکه های پویا
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- A unique flavored critical review on the evolution of the RTS of SHMPB from dynamic co-words network
- The SHMPB's RTS shows a relative wide and flat structure.
- The hotspots and development trends of the RTS are revealed.
- The evolution of the RTS has the scale free characteristics and the small-world effect.
- Some application implications are provided.

From the perspective of dynamic co-words network, for the first time this paper provide a unique flavored critical review on the evolution of the research topic system (RTS) of soil heavy metal pollution bioremediation (SHMPB). We built the dynamic co-words network-related measures of the RTS of SHMPB. Several main innovative findings were obtained. (i) We got the basic characteristics of the co-words network. The co-words network for the RTS had a relative wide and flat structure, which implies the SHMPB's RTS has spread in a broad range. This is differently from the usual radial structure of RTSs in many other scopes. (ii) We revealed the hotspots and development trends of the RTS: the contact degree between different hot fields gradually has increased as the years go by. We found that researchers tended to use plants to carry out SHMPB. The hotspots have shifted from hyperaccumulators to the plants like poplar. (iii) From the degree distribution of the dynamic co-words network, we revealed the evolution of the RTS had the scale free characteristics. The growth and preferential attachment mechanism of keywords were the driving force of the evolving RTS. (iv) By the calculations of the average path length and average clustering coefficients, we found that the evolution of the RTS had the small-world effect. (v) Basing on the obtained results, we gave some implications such as the confirmation of high efficient information transmission, the identification of potential destructive effect, the recognition of important nodes and the creation of new information transmission path within the RTS. Beyond the RTS of SHMPB, we would like to stress the importance of the proposed method, demonstrating its universal applicable merits for RTSs in wide scopes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geoderma - Volume 305, 1 November 2017, Pages 281-292
نویسندگان
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