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Information, Volume 4, Issue 4 (December 2013), Pages 351-410

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Research

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Open AccessArticle Suborganizations of Institutions in Library and Information Science Journals
Information 2013, 4(4), 351-366; doi:10.3390/info4040351
Received: 25 June 2013 / Revised: 19 August 2013 / Accepted: 26 September 2013 / Published: 9 October 2013
Cited by 3 | PDF Full-text (639 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, we analyze Web of Science data records of articles published from 1991 to 2010 in library and information science (LIS) journals. We focus on addresses of these articles’ authors and create citation and collaboration networks of departments which we [...] Read more.
In this paper, we analyze Web of Science data records of articles published from 1991 to 2010 in library and information science (LIS) journals. We focus on addresses of these articles’ authors and create citation and collaboration networks of departments which we define as the first suborganization of an institution. We present various rankings of departments (e.g., by citations, times cited, PageRank, publications, etc.) and highlight the most influential of them. The correlations between the individual departments are also shown. Furthermore, we visualize the most intense citation and collaboration relationships between “LIS” departments (many of which are not genuine LIS departments but merely affiliations of authors publishing in journals covered by the specific Web of Science category) and give examples of two basic research performance distributions across departments of the leading universities in the field. Full article
(This article belongs to the Section Information Applications)
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Open AccessArticle Empirical Analysis on Evolution and Small World Effect of Chinese Enterprise-Enterprise Patent Cooperation Network: From the Perspective of Open Innovation
Information 2013, 4(4), 398-410; doi:10.3390/info4040398
Received: 16 August 2013 / Revised: 11 October 2013 / Accepted: 24 October 2013 / Published: 28 October 2013
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Abstract
The patent cooperation network which enterprises join is a very important network platform for enterprises’ open innovation. However, very limited work has been done to empirically investigate the dynamic change process of the network in China. To address this issue, this paper [...] Read more.
The patent cooperation network which enterprises join is a very important network platform for enterprises’ open innovation. However, very limited work has been done to empirically investigate the dynamic change process of the network in China. To address this issue, this paper analyzes dynamic change process of cooperation network of enterprises and the small-world effect of the biggest subgroup according to the data of 36731 items of cooperative patents between enterprises from 1985 to 2010 published by the State Intellectual Property Office of China. A conclusion can be drawn from the analysis results that the biggest subgroup has the characteristics of small-world effect, but the overall network structure also has some defects, which limit the development of open innovation. For the first time, suggestions on open innovation strategies are put forward to provide theoretical reference for both the government and enterprises. Full article
(This article belongs to the Section Information Applications)

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Open AccessConcept Paper The Biological “Invariant of Motion” vs. “Struggle for Life”? On the Possible Quantum Mechanical Origin and Evolution of Semiotic Controls in Biology
Information 2013, 4(4), 367-397; doi:10.3390/info4040367
Received: 9 May 2013 / Revised: 2 September 2013 / Accepted: 7 October 2013 / Published: 16 October 2013
Cited by 1 | PDF Full-text (215 KB) | HTML Full-text | XML Full-text
Abstract
A novel, alternative and deeper view to the “selfish gene” paradigm is presented, describable as the “selfish code” frame. Introducing it, we put forth a quantum mechanical algorithm as a new description of the intracellular protein synthetizing machinery. The successive steps of [...] Read more.
A novel, alternative and deeper view to the “selfish gene” paradigm is presented, describable as the “selfish code” frame. Introducing it, we put forth a quantum mechanical algorithm as a new description of the intracellular protein synthetizing machinery. The successive steps of the algorithm are, tentatively, semiotic constraints of the well-known quantum mechanical molecular “internal measurement” type. It is proposed that this molecular algorithm mediates a quantum mechanical time reversed dynamics with a primordial special version of this latter molecular measurement type (“mixed measurement”) as its origin. It is furthermore suggested that this intracellular regressive algorithmical dynamics is a component of biological “motion”, the other, strongly coupled component being the macroscopic phenotypic motion. The biological “invariant of motion” of this hierarchically coupled overall generalized dynamics is suggested to be the evolutionally converged invariant genetic code vocabulary. It forms, possibly, the underlying internal “driving force” of evolution, as being “struggle for life”. Full article

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