Opinions, conflicts, and consensus: Modeling social dynamics in a collaborative environment Open access logo Link logo PDF logo

Török, János; Iñiguez, Gerardo; Yasseri, Taha; San Miguel, Maxi; Kaski, Kimmo; Kertész, János

Physical Review Letters Volume 110, Issue 8

  • 41 tweets
  • 1 blog post
  • 1 reference in Wikipedia
  • 82 Mendeley readers


Selecting among five common modelling approaches for integrated environmental assessment and management Open access logo Link logo

Kelly, R.A.; Jakeman, A.J.; Barreteau, O. ; Borsuk, M.E.; ElSawah, S.; Hamilton, S.H.; Henriksen, H.J.; Kuikka, Sakari; Maier, H.R.; Rizzoli, A.E.; van Delden, H.; Voinov, A.A.

Environmental Modelling & Software

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  • 6 Mendeley readers


Universality in voting behavior: an empirical analysis Open access logo

Chatterjee, Arnab; Mitrovic, Marija; Fortunato, Santo

Scientific Reports

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  • 41 Mendeley readers

Election data represent a precious source of information to study human behavior at a large scale. In proportional elections with open lists, the number of votes received by a candidate, rescaled by the average performance of all competitors in the same party list, has the same distribution regardless of the country and the year of the election. Here we provide the first thorough assessment of this claim. We analyzed election datasets of 15 countries with proportional systems. We confirm that a class of nations with similar election rules fulfill the universality claim. Discrepancies from this trend in other countries with open-lists elections are always associated with peculiar differences in the election rules, which matter more than differences between countries and historical periods. Our analysis shows that the role of parties in the electoral performance of candidates is crucial: alternative scalings not taking into account party affiliations lead to poor results.


Predictability of twentieth century sea-level rise from past data Open access logo Link logo PDF logo

Bitterman, Klaus; Rahmstorf, Stefan; Perrette, Mahé; Vermeer, Martin

Environmental Research Letters (ERL) Volume 8, Issue 1

  • 22 tweets
  • 2 blog posts
  • 42 Mendeley readers


Chinese Colours and the Sydney Opera House (1956–1966): Jørn Utzon’s Reinterpretation of Traditional Chinese Architecture Link logo PDF logo

Chiu, Chen-Yu; Goad, Philip; Myers, Peter

Journal of Design History Volume 27, Issue 3

  • 16 tweets
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Contextual analysis framework for bursty dynamics Open access logo Link logo PDF logo

Jo, Hang-Hyun; Pan, Raj Kumar; Perotti, Juan I.; Kaski, Kimmo

arXiv Volume 87, Issue 6

  • 12 tweets
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When cellular meets WiFi in wireless small cell networks Open access logo PDF logo

Bennis, M.; Simsek, M.; Saad, W.; Valentin, S.; Debbah, M.; Czylwik, A.

IEEE Communications Magazine Volume 51, Issue 6, Pages 44–50

  • 9 tweets
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Feedback and imitation by a caregiver guides a virtual infant to learn native phonemes and the skill of speech inversion Open access logo

Rasilo, Heikki; Rasanen, Okko; Laine, Unto K.

Speech Communication

  • 9 tweets
  • 27 Mendeley readers


Localization Services for Online Common Operational Picture and Situation Awareness Open access logo Link logo PDF logo

Björkbom, Mikael; Timonen, Jussi; Yigitler, Huseyin; Kaltiokallio, Ossi; Vallet, Jose M. Garcia; Myrsky, Matthieu; Saarinen, Jari; Korkalainen, Marko; Cuhac, Caner; Koivo, Heikki N.; Jäntti, Riku; Virrankoski, Reino; Vankka, Jouko

IEEE Access

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  • 31 Mendeley readers


How the online social networks are used: dialogues-based structure of MySpace Open access logo PDF logo

Suvakov, Milovan, Mitrovic, Marija, Gligorijevic, Vladimir, Tadic, Bosiljka

Journal of The Royal Society Interface

  • 6 tweets
  • 33 Mendeley readers

Quantitative study of collective dynamics in online social networks is a new challenge based on the abundance of empirical data. Conclusions, however, may depend on factors such as user's psychology profiles and their reasons to use the online contacts. In this study, we have compiled and analysed two datasets from MySpace. The data contain networked dialogues occurring within a specified time depth, high temporal resolution and texts of messages, in which the emotion valence is assessed by using the SentiStrength classifier. Performing a comprehensive analysis, we obtain three groups of results: dynamic topology of the dialogues-based networks have a characteristic structure with Zipf's distribution of communities, low link reciprocity and disassortative correlations. Overlaps supporting 'weak-ties' hypothesis are found to follow the laws recently conjectured for online games. Long-range temporal correlations and persistent fluctuations occur in the time series of messages carrying positive (negative) emotion; patterns of user communications have dominant positive emotion (attractiveness) and strong impact of circadian cycles and interactivity times longer than 1 day. Taken together, these results give a new insight into the functioning of online social networks and unveil the importance of the amount of information and emotion that is communicated along the social links. All data used in this study are fully anonymized.


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Site data sourced from Altmetric.com [altmetric.com] and CSC (VIRTA) [www.csc.fi/-/virta]