scholarly journals Metapopulation epidemic models with a universal mobility pattern on interconnected networks

Author(s):  
Jinyu Huang ◽  
Chao Chen
Author(s):  
Duncan Hardy

The Holy Roman Empire, and especially Upper Germany, was notoriously politically fragmented in the fourteenth to sixteenth centuries. A common way to interpret this fragmentation has been to view late medieval lordships, particularly those ruled by princes, as incipient ‘territories’, or even ‘territorial states’. However, this over-simplifies and reifies structures of lordship and administration in this period, which consisted of shifting agglomerations of assets, revenues, and jurisdictions that were dispersed among and governed by interconnected networks of political actors. Seigneurial properties and rights had become separable, commoditized, and highly mobile by the later middle ages, and these included not only fiefs (Lehen) but also loan-based pledges (Pfandschaften) and offices, all of which could be sold, transferred, or even ruled or exercised by multiple parties at once, whether these were princes, nobles, or urban elites. This fostered intensive interaction between formally autonomous political actors, generating frictions and disputes.


2021 ◽  
Vol 13 (3) ◽  
pp. 76
Author(s):  
Quintino Francesco Lotito ◽  
Davide Zanella ◽  
Paolo Casari

The pervasiveness of online social networks has reshaped the way people access information. Online social networks make it common for users to inform themselves online and share news among their peers, but also favor the spreading of both reliable and fake news alike. Because fake news may have a profound impact on the society at large, realistically simulating their spreading process helps evaluate the most effective countermeasures to adopt. It is customary to model the spreading of fake news via the same epidemic models used for common diseases; however, these models often miss concepts and dynamics that are peculiar to fake news spreading. In this paper, we fill this gap by enriching typical epidemic models for fake news spreading with network topologies and dynamics that are typical of realistic social networks. Specifically, we introduce agents with the role of influencers and bots in the model and consider the effects of dynamical network access patterns, time-varying engagement, and different degrees of trust in the sources of circulating information. These factors concur with making the simulations more realistic. Among other results, we show that influencers that share fake news help the spreading process reach nodes that would otherwise remain unaffected. Moreover, we emphasize that bots dramatically speed up the spreading process and that time-varying engagement and network access change the effectiveness of fake news spreading.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Flavio De Angelis ◽  
Maura Pellegrini ◽  
Cristina Martínez-Labarga ◽  
Laura Anzivino ◽  
Gabriele Scorrano ◽  
...  

AbstractAs a means for investigating human mobility during late the Neolithic to the Copper Age in central and southern Italy, this study presents a novel dataset of enamel oxygen and carbon isotope values (δ18Oca and δ13Cca) from the carbonate fraction of biogenic apatite for one hundred and twenty-six individual teeth coming from two Neolithic and eight Copper Age communities. The measured δ18Oca values suggest a significant role of local sources in the water inputs to the body water, whereas δ13Cca values indicate food resources, principally based on C3 plants. Both δ13Cca and δ18Oca ranges vary substantially when samples are broken down into local populations. Statistically defined thresholds, accounting for intra-site variability, allow the identification of only a few outliers in the eight Copper Age communities, suggesting that sedentary lifestyle rather than extensive mobility characterized the investigated populations. This seems to be also typical of the two studied Neolithic communities. Overall, this research shows that the investigated periods in peninsular Italy differed in mobility pattern from the following Bronze Age communities from more northern areas.


Author(s):  
Vladislav N. Kovalnogov ◽  
Theodore E. Simos ◽  
Charalampos Tsitouras
Keyword(s):  

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