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This paper aims to extend the existing views of coopetition into the broader context of open coopetition.

The authors build on the literature about open innovation cooperation between competitors in the open-source software industry, which we generalize to show that open coopetition between competitors and third parties can be observed in other industries and institutional settings.

The authors outline a research program on the management challenges of open coopetition-related and argue that open coopetition can not only be observed between business rivals but also between partners from university, industry, government and further institutional backgrounds.

The authors introduce to so-far neglected roots of the emerging research program on open coopetition and extend the prevailing business focus of open coopetition research to also systematically include open coopetition between partners from business and other spheres of society.

The purpose of this paper is to examine the classic characteristics of highly cited articles (HCAs) of top-ranked library and information science (LIS) journals and get acquainted with the high-quality works in specific areas of LIS for distinguishing what gets cited and who the prolific authors are.

The HCAs published across the top four LIS journals were downloaded, coded and a database was developed with basic metadata elements for analysis using bibliometric indicators. Lotka’s Inverse Square Law of Scientific Productivity was applied to assess the author’s productivity of HCA. The content analysis method was also used to find out the emerging areas of research that have sought high citations.

Inferences were drawn for the proposed five number of research questions pertaining to individual productivity, collaboration patterns country and institutional productivity, impactful areas of research. The Netherland found to be the potential player among all the affiliating countries of authors and Loet Leydesdorff tops the list among the prolific authors. It is observed that Lotka’s Classical Law also fits the HCA data set in LIS. “Research impact measurement and research collaboration,” “Social networking” and “Research metrics and citation-based studies” are found to be the emerging areas of LIS research.

Researchers may find a way what gets cited in specific areas of LIS literature and why along with who are the prolific authors.

This study is important from the perspective of the growing research field of the LIS discipline to identify the papers that have influenced others papers as per citation count, spot the active and more impactful topics in LIS research.

The purpose of this paper is to present the case for an analysis of communication at the supra-individual level as a means of rendering the understanding of learning and acting tractable. The paper introduces a method of analysis of redundancy to achieve this.

The paper argues for a supra-individual approach to acting, learning, and understanding against focusing on an individual or quasi-transcendental “observer”. The argument is outlined in four steps: first, articulation of the dynamics of the communication system; second, consideration of the redundancies of expectations within communication; third, the computation of anticipation which enables the authors to model meaning processing; and fourth the feedback of meaning processing on information processing can be measured as redundancy. Anticipated future states can reflexively drive reconstructions in meaning-processing systems.

The social system can be considered as a symbolic order of coordination mechanisms. Reflexive agency can access this order and partake in it. However, expectations and their structures do not “exist”, but remain uncertain with the status of hypotheses. Historical embodiment in intentional action is structurally coupled to the order of expectations. The historical instantiations condition and enable the further development of the expectations as a retention mechanism.

The modelling and measurement of meaning processing in terms of inversion of the arrow of time and the generation of redundancy provide extensions to the mathematical theory of communication.

Aggregated journal‐journal citations can be used for mapping the intellectual organization of the sciences in terms of specialties because the latter can be considered as interreading communities. Can the journal‐journal citations also be used as early indicators of change by comparing the files for two subsequent years? Probabilistic entropy measures enable us to analyze changes in large datasets at different levels of aggregation and in considerable detail. Compares Journal Citation Reports of the Social Science Citation Index for 1999 with similar data for 1998 and analyzes the differences using these measures. Compares the various indicators with similar developments in the Science Citation Index. Specialty formation seems a more important mechanism in the development of the social sciences than in the natural and life sciences, but the developments in the social sciences are volatile. The use of aggregate statistics based on the Science Citation Index is ill‐advised in the case of the social sciences because of structural differences in the underlying dynamics.

The aggregated journal‐journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph‐analytical algorithm of bi‐connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next‐order network of “general science” journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.

This paper aims to provide a view and analysis of the immediate field of journals that surround a number of key heterodox economics journals.

Using citation data from the Science and Social Science Citation Index, the individual and collective networks of a number of journals in this field are analyzed.

The size and shape of the citation networks of journals can differ substantially, even if in a broadly similar category. Heterodox economics cannot (yet) be considered as an integrated specialty: authors in several journals in heterodox economics cite more from mainstream economics than from other heterodox journals. There are also strong links with other disciplinary fields such as geography, development studies, women studies, etc.

The analysis is limited by its reliance on citation data in the Science and Social Science Citation Indexes provided by Thomson‐Reuters.

The analysis shows not only whence journals draw their strengths, but also how knowledge between journals and neighboring sub‐fields is diffused. This can be important for editors, authors, and others.

A network analysis not just focusing on a single journal as a focal point, but combining several journals in a single analysis enables one to visualize structural properties of the field of heterodox economics which otherwise remain latent. This study provides a structural approach to citation analysis as a tool for the study of scientific specialties.

In the tradition of Spencer Brown's Laws of Form, observation was defined in Luhmann's social systems theory as the designation of a distinction. In the sociological design, however, the designation specifies only a category for the observation. The distinction between observation and expectation enables the sociologist to appreciate the processing of meaning in social systems. Seeks to address this issue.

The specification of “the observer” in the tradition of systems theory is analyzed in historical detail. Inconsistencies and differences in perspectives are explicated, and the specificity of human language is further specified. The processing of meaning in social systems adds another layer to the communication.

Reflexivity about the different perspectives of participant observers and an external observer is fundamental to the sociological discourse. The ranges of possible observations from different perspectives can be considered as second‐order observations or, equivalently, as the specification of an uncertainty in the observations. This specification of an uncertainty provides an expectation. The expectation can be provided with (one or more) values by observations. The significance of observations can be tested when the expectations are properly specified.

The expectations (second‐order observations) are structured and therefore systemic attributes to the discourse. However, the metaphor of a (meta‐)biological observer has disturbed the translation of social systems theory into sociological discourse. Different discourses specify other expectations about possible observations. By specifying second‐order observations as expectations, social systems theory and sociocybernetics can combine the constructivist with an empirical approach.

This research aims to examine the intellectual structure of iMetrics through author co-citation analysis.

This research uses common techniques in bibliometrics and social network analysis. It analyses 5,944 records from the Web of Science in the field of iMetrics that are published between 1978 and 2014.

Findings indicated that researchers including “Garfield”, “Egghe”, “Glanzel”, “Leydesdorff” and “Price” have received many co-citations. The author co-citation analysis in iMetrics resulted in eight thematic clusters, including “theoretical foundations and citation analysis”, “sociology of science”, “science mapping and visualization”, “network analysis”, “classic laws of bibliometrics”, “webometrics”, “technometrics” and “miscellaneous”. “Theoretical foundations and citation analysis” is the biggest cluster which comprises 59 authors. The results suggest the crucial role of price medallists in shaping the intellectual structure of knowledge in iMetrics.

Extracting the patterns embedded in the knowledge structure of iMetrics studies provides beneficial information for both researchers and policymakers. This research study is valuable that used an appropriate set of records regarding both recall and precision. Furthermore, this study helps us better understand the characteristics of iMetrics, its subject areas, and the prominent authors in those areas.

Aims to explains the mismatches between political discourse and military momentum in the US handling of the Cuban missile crisis by using the model of the potential autopoiesis of subsystems. Under wartime conditions, the codes of political and military communications can increasingly be differentiated.

The model of a further differentiation between political and military power is developed on the basis of a detailed description of the Cuban missile crisis. The concept of a “semi‐dormant autopoiesis” is introduced for the difference in the dynamics between peacetime and wartime conditions.

Several dangerous incidents during the crisis can be explained by a sociocybernetic model focusing on communication and control, but not by using an organization‐theoretical approach. The further differentiation of the military as a subsystem became possible in the course of the twentieth century because of ongoing learning processes about previous wars.

Politicians should not underestimate autonomous military processes or the significance of standing orders. In order to continually produce communications within the military, communication partners are needed that stand outside the hierarchy, and this role can be fulfilled by an enemy. A reflexively imagined enemy can reinforce the autopoiesis of the military subsystem.

The paper shows that civilian control over military affairs has become structurally problematic and offers a sociocybernetic explanation of the missile crisis. The potential alternation in the dynamics under peacetime and wartime conditions brings historical specificity back on the agenda of social systems theory.