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Inheritance patterns in citation networks reveal scientific memes
Tobias Kuhn, Matjaž Perc, Dirk Helbing, 2014, izvirni znanstveni članek

Opis: Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters.
Ključne besede: memes, inheritance, genes, network science, complex systems
Objavljeno v DKUM: 03.08.2017; Ogledov: 867; Prenosov: 380
.pdf Celotno besedilo (2,85 MB)
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Toward the discovery of citation cartels in citation networks
Iztok Fister, Iztok Fister, Matjaž Perc, 2016, izvirni znanstveni članek

Opis: In this perspective, our goal is to present and elucidate a thus far largely overlooked problem that is arising in scientific publishing, namely the identification and discovery of citation cartels in citation networks. Taking from the well-known definition of a community in the realm of network science, namely that people within a community share significantly more links with each other as they do outside of this community, we propose that citation cartels are defined as groups of authors that cite each other disproportionately more than they do other groups of authors that work on the same subject. Evidently, the identification of citation cartels is somewhat different, although similar to the identification of communities in networks. We systematically expose the problem, provide theoretical examples, and outline an algorithmic guide on how to approach the subject.
Ključne besede: citation network, citation cartel, network science, community detection, cooperation
Objavljeno v DKUM: 10.07.2017; Ogledov: 1264; Prenosov: 336
.pdf Celotno besedilo (855,89 KB)
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Fragmented Romanian sociology: growth and structure of the collaboration network
Marian-Gabriel Hâncean, Matjaž Perc, Lazǎr Vlǎsceanu, 2014, izvirni znanstveni članek

Opis: Structural patterns in collaboration networks are essential for understanding how new ideas, research practices, innovation or cooperation circulate and develop within academic communities and between and within university departments. In our research, we explore and investigate the structure of the collaboration network formed by the academics working full-time within all the 17 sociology departments across Romania. We show that the collaboration network is sparse and fragmented, and that it constitutes an environment that does not promote the circulation of new ideas and innovation within the field. Although recent years have witnessed an increase in the productivity of Romanian sociologists, there is still ample room for improvement in terms of the interaction infrastructure that ought to link individuals together so that they could maximize their potentials. We also fail to discern evidence in favor of the Matthew effect governing the growth of the network, which suggests scientific success and productivity are not rewarded. Instead, the structural properties of the collaboration network are partly those of a core-periphery network, where the spread of innovation and change can be explained by structural equivalence rather than by interpersonal influence models. We also provide support for the idea that, within the observed network, collaboration is the product of homophily rather than prestige effects. Further research on the subject based on data from other countries in the region is needed to place our results in a comparative framework, in particular to discern whether the behavior of the Romanian sociologist community is unique or rather common.
Ključne besede: collaboration network, small-world network, community structure, sociology, network science
Objavljeno v DKUM: 19.06.2017; Ogledov: 723; Prenosov: 363
.pdf Celotno besedilo (456,98 KB)
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