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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/236138236e3de8aa8bcfa69cf20c19819/raphei",         
         "tags" : [
            "-","Computer","Digital","Information","Libraries","Networks,","Physics","Science","Social","Society,","and"
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         "intraHash" : "36138236e3de8aa8bcfa69cf20c19819",
         "interHash" : "ff42f276f0798cdbc2f57724205d7b2c",
         "label" : "Choosing Collaboration Partners. How Scientific Success in Physics Depends on Network Positions",
         "user" : "raphei",
         "description" : "",
         "date" : "2020-05-04 15:23:37",
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         "journal": "arXiv:1608.03251 [physics]",
         "year": "2016", 
         "url": "http://arxiv.org/abs/1608.03251", 
         
         "author": [ 
            "Raphael H. Heiberger","Oliver J. Wieczorek"
         ],
         "authors": [
         	
            	{"first" : "Raphael H.",	"last" : "Heiberger"},
            	{"first" : "Oliver J.",	"last" : "Wieczorek"}
         ],
         "note": "arXiv: 1608.03251","abstract": "Physics is one of the most successful endeavors in science. Being a prototypic big science it also reflects the growing tendency for scientific collaborations. Utilizing 250,000 papers from ArXiv.org a prepublishing platform prevalent in Physics we construct large coauthorship networks to investigate how individual network positions influence scientific success. In this context, success is seen as getting a paper published in high impact journals of physical subdisciplines as compared to not getting it published at all or in rather peripheral journals only. To control the nested levels of authors and papers, and to consider the time elapsing between working paper and prominent journal publication we employ multilevel eventhistory models with various network measures as covariates. Our results show that the maintenance of even a moderate number of persistent ties is crucial for scientific success. Also, even with low volumes of social capital Physicists who occupy brokerage positions enhance their chances of articles in high impact journals significantly. Surprisingly, inter(sub)disciplinary collaborations decrease the probability of getting a paper published in specialized journals for almost all positions.",
         "file" : "arXiv\\:1608.03251 PDF:C\\:\\\\Users\\\\ac135138\\\\Zotero\\\\storage\\\\CPZJRZMV\\\\Heiberger und Wieczorek - 2016 - Choosing Collaboration Partners. How Scientific Su.pdf:application/pdf;arXiv.org Snapshot:C\\:\\\\Users\\\\ac135138\\\\Zotero\\\\storage\\\\32EMMUVF\\\\1608.html:text/html",
         
         "urldate" : "2017-07-03",
         
         "bibtexKey": "heiberger_choosing_2016"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2807e92b98ec78e029e34b0058d6148db/raphei",         
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            "Face-to-face","Mixed","RFID,","Social","Sociology","analysis,","interaction,","methods,","network","of","science"
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         "intraHash" : "807e92b98ec78e029e34b0058d6148db",
         "interHash" : "dc2c149f8e8a25f32496fb822fa76762",
         "label" : "Social studies of scholarly life with sensor-based ethnographic observations",
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         "date" : "2020-05-04 15:23:37",
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         "pub-type": "article",
         "journal": "Scientometrics",
         "year": "2019", 
         "url": "https://doi.org/10.1007/s11192-019-03097-w", 
         
         "author": [ 
            "Mark Kibanov","Raphael H. Heiberger","Simone Rödder","Martin Atzmueller","Gerd Stumme"
         ],
         "authors": [
         	
            	{"first" : "Mark",	"last" : "Kibanov"},
            	{"first" : "Raphael H.",	"last" : "Heiberger"},
            	{"first" : "Simone",	"last" : "Rödder"},
            	{"first" : "Martin",	"last" : "Atzmueller"},
            	{"first" : "Gerd",	"last" : "Stumme"}
         ],
         "volume": "119","number": "3","pages": "1387--1428","abstract": "Social network analysis is playing an increasingly important role in sociological studies. At the same time, new technologies such as wearable sensors make it possible to collect new types of social network data. We employed RFID tags to capture face-to-face interactions of participants of two consecutive Ph.D. retreats of a graduate school on climate research. We use this data in order to explore how it may support ethnographic observations and to gain further insights on scholarly interactions. The unique feature of the data is the opportunity to distinguish short and long conversations, which often have a different nature from a sociological point of view. Furthermore, an advantage of this data is the availability of socio-demographic, research-related, and situational attributes of participants. We show that, even though an interaction partner is often found rather randomly during coffee breaks of retreats, a strong homophily between participants from the same institutions or research areas exists. We identify cores of the networks and participants who play ambassador roles between communities, e.g., persons who visit the retreat for the second time are more likely to be ambassadors. Overall, we show the usefulness and potential of RFID tags for scientometric studies.",
         "language" : "en",
         
         "file" : "Springer Full Text PDF:C\\:\\\\Users\\\\ac135138\\\\Zotero\\\\storage\\\\JMMMXD8D\\\\Kibanov et al. - 2019 - Social studies of scholarly life with sensor-based.pdf:application/pdf",
         
         "issn" : "1588-2861",
         
         "doi" : "10.1007/s11192-019-03097-w",
         
         "urldate" : "2019-07-08",
         
         "bibtexKey": "kibanov_social_2019"

      }
	  
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