By Matthäus P. Zylka, Hauke Fuehres, Andrea Fronzetti Colladon, Peter A. Gloor
This quantity is targeted at the rising notion of Collaborative Innovation Networks (COINs). cash are on the middle of collaborative wisdom networks, dispensed groups benefiting from the huge connectivity and the help of communique applied sciences, spanning past the organizational perimeter of businesses on a world scale. It contains the refereed convention papers from the sixth overseas convention on cash, June 8-11, 2016, in Rome, Italy. It contains papers for either software components of cash, (1) optimizing organizational creativity and function, and (2) getting to know and predicting new tendencies by means of deciding on cash on the net via on-line social media research. Papers at COINs16 mix a variety of interdisciplinary fields reminiscent of social community research, staff dynamics, layout and visualization, details structures and the psychology and sociality of collaboration, and intercultural research during the lens of on-line social media. they are going to disguise newest advances in parts from management and collaboration, development prediction and information mining, to social competence and web communication.
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Additional info for Designing Networks for Innovation and Improvisation: Proceedings of the 6th International COINs Conference
This chapter presents theoretical consideration of the Creative Society with using the social systems theory and creative systems theory. T. P. Zylka et al. 1007/978-3-319-42697-6_4 29 30 T. Iba Fig. 2 Systemic Viewpoint of Society Niklas Luhmann (1927–1998) was a sociologist who persistently studied the various domains of society and built what is called as a grand theory of society. He tackled fundamental questions regarding how societies are possible. His most innovative contribution was the application of the most current systems theory to sociology and adopting the theory of autopoietic systems to understand modern societies.
2013). Besides possible big ﬂaws in the Twitter data itself, the interpretation of tweet numbers is not an easy task. Multiple positive and negative events might be simultaneously affecting candidates’ support, both capable of capturing public attention and increasing the candidate’s share of tweets. There would have been an option to combine tweets and sentiment, but that was not pursued, because if tweets were to be combined with sentiment it would be meaningful to combine them to sentiment compared to other candidates or a candidate’s own previous sentiment values.
11. 12. 1. Date Fig. 11. 11. 12. 1. Date Fig. se 2016) The candidates seemed to have quite different relationships to the variables; especially for Hillary Clinton it did not seem to matter that her Wikipedia page views were on a lower level than Bernie Sanders’ views in terms of poll ratings. Even Martin O’Malley had more views on debate days. For Sanders, Wikipedia page views had more importance, which was expected because he is not as well known a ﬁgure in the presidential race as Clinton; thus, these ﬁndings were in line with Yasseri and Bright’s (2016) results.
Designing Networks for Innovation and Improvisation: Proceedings of the 6th International COINs Conference by Matthäus P. Zylka, Hauke Fuehres, Andrea Fronzetti Colladon, Peter A. Gloor