scholarly journals Causal Paths in Temporal Networks of Face-to-Face Human Interactions

2021 ◽  
Vol 30 (1) ◽  
pp. 33-46
Author(s):  
Agostino Funel ◽  

In a temporal network, causal paths are characterized by the fact that links from a source to a target must respect the chronological order. In this paper we study the causal paths structure in temporal networks of face-to-face human interactions in different social contexts. In a static network, paths are transitive; that is, the existence of a link from a to b and from b to c implies the existence of a path from a to c via b. In a temporal network, the chronological constraint introduces time correlations that affect transitivity. A probabilistic model based on higher-order Markov chains shows that correlations that can invalidate transitivity are present only when the time gap between consecutive events is larger than the average value and are negligible below such a value. The comparison between the densities of the temporal and static accessibility matrices shows that the static representation can be used with good approximation. Moreover, we quantify the extent of the causally connected region of the networks over time.

2013 ◽  
Vol 222 (6) ◽  
pp. 1295-1309 ◽  
Author(s):  
A. Barrat ◽  
C. Cattuto ◽  
V. Colizza ◽  
F. Gesualdo ◽  
L. Isella ◽  
...  

Author(s):  
Matthieu Nadini ◽  
Alessandro Rizzo ◽  
Maurizio Porfiri

Abstract Predicting the diffusion of real-world contagion processes requires a simplified description of human-to-human interactions. Temporal networks offer a powerful means to develop such a mathematically-transparent description. Through temporal networks, one may analytically study the co-evolution of the contagion process and the network topology, as well as incorporate realistic feedback-loop mechanisms related to individual behavioral changes to the contagion. Despite considerable progress, the state-of-the-art does not allow for studying general time-varying networks, where links between individuals dynamically switch to reflect the complexity of social behavior. Here, we tackle this problem by considering a temporal network, in which reducible, associated with node-specific properties, and irreducible links, describing dyadic social ties, simultaneously vary over time. We develop a general mean field theory for the Susceptible-Infected-Susceptible model and conduct an extensive numerical campaign to elucidate the role of network parameters on the average degree of the temporal network and the epidemic threshold. Specifically, we describe how the interplay between reducible and irreducible links influences the disease dynamics, offering insights towards the analysis of complex dynamical networks across science and engineering.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Giovanni Micale ◽  
Giorgio Locicero ◽  
Alfredo Pulvirenti ◽  
Alfredo Ferro

AbstractTemporal networks are graphs where each edge is associated with a timestamp denoting when two nodes interact. Temporal Subgraph Isomorphism (TSI) aims at retrieving all the subgraphs of a temporal network (called target) matching a smaller temporal network (called query), such that matched target edges appear in the same chronological order of corresponding query edges. Few algorithms have been proposed to solve the TSI problem (or variants of it) and most of them are applicable only to small or specific queries. In this paper we present TemporalRI, a new subgraph isomorphism algorithm for temporal networks with multiple contacts between nodes, which is inspired by RI algorithm. TemporalRI introduces the notion of temporal flows and uses them to filter the search space of candidate nodes for the matching. Our algorithm can handle queries of any size and any topology. Experiments on real networks of different sizes show that TemporalRI is very efficient compared to the state-of-the-art, especially for large queries and targets.


2021 ◽  
Vol 10 (2) ◽  
pp. 304-312
Author(s):  
Nurfadillah S ◽  
Wardihan Sinrang ◽  
Suryani As'ad ◽  
Muh. Nasrum Massi ◽  
Mardiana Ahmad ◽  
...  

Background: According to 2018 World Health Organization (WHO) data globally, an estimated 17.3% of the population has inadequate zinc intake, with estimates ranging from 5.7% in Oceania to 7.6% in Europe, 9.6% in America and the Caribbean, highest in Africa (23.9%) and Asia (19.6%). Zinc is important for the function of a number of enzymes and growth hormones during pregnancy. In pregnant women, the relative zinc concentration decreases up to 35% due to the influence of hormonal changes and the transport of nutrients from mother to baby. Objectives: The purpose of this study was to identify the effect of giving zinc tablets to pregnant women with zinc deficiency in the third trimester on body weight and length of babies born at the Makassar City Health Center. Methods: This type of research is True Experimental with a pretest-posttest design with a control group. The sample in this study was 62 samples of third trimester pregnant women, and the sampling technique used was purposive sampling. Measurement of zinc levels in third trimester pregnant women using the Elisa reader kit at the Research Laboratory of the Hasanuddin University Teaching Hospital. The research instruments were in the form of a research explanation sheet, respondent's consent sheet, respondent's checklist sheet, and the mother's zinc tablet consumption control sheet for 14 days. Results: Judging from the average value of newborns in pregnant women who did not have zinc deficiency, the average value of birth weight in pregnant women with zinc deficiency was 15.70 g/dL and 18.95 g/dL. zinc deficiency with a value (p < 0.05), while pregnant women with zinc deficiency have an average birth length of 10.00 g/dL and mothers who do not have a deficiency of 19.87 g/dL with a value (p < 0.05). So, it can be concluded that giving zinc tablets to pregnant women in the third trimester has an effect on Birth Weight (BBL) and Birth Length (PBL). Conclusion: Giving zinc tablets has an effect on increasing zinc levels in third trimester zinc deficiency pregnant women and increasing birth weight and length of the baby.  


2021 ◽  
Vol 1 ◽  
pp. 20-22
Author(s):  
Faris Salman Faza

The existence of the COVID-19 outbreak has an impact on all sectors of life, one of which is in the education sector, many schools are forced to dismiss their students and teaching and learning activities are carried out online. the transition of Geography teaching and learning activities at MA PPPI Miftahussalam Banyumas from face to face to online creates new problems in learning so that a special strategy is needed in this learning. Although online learning is not effective for achieving learning goals, the teacher must be able to make new innovations so that learning objectives can be achieved. This study uses a qualitative description method by observing the behavior of students when online learning takes place. Learning online Geography class XII at MA PPPI Miftahussalam Banyumas uses educational games. This study aims to find out the right media in learning Geography class XII during the COVID-19 pandemic at MA PPPI Miftahussalam Banyumas. The results of this study showed that 76 students of class XII MA PPPI Miftahussalam Banyumas who had taken the test showed an average value> 8.00. This shows satisfactory results.


2016 ◽  
Vol 27 (3) ◽  
pp. 327-338
Author(s):  
M Begum ◽  
MR Ahmed ◽  
T Noor ◽  
MI Hossain

Orange is one of the most import fruit crops that generate additional cash income for market actors. The study was investigated the marketing system of orange , value addition, roles and functions of value chain actors with the help of primary data collected from both farmers (forty) through simple random sampling and value chain actors (thirty) through purposive sampling by using structured questionnaire and face to face interview technique. The gross return and net return of farmers were estimated Tk. 2, 70,000 and Tk. 22084.77 per hectare respectively. Per quintal value addition of orange of bepari, aratdar, wholesaler and retailer were estimated at Tk. 800, Tk. 340, Tk. 700 and Tk. 1000 respectively. The net marketing margin per quintal of orange of bepari, aratdar, wholesaler and retailer were estimated at Tk. 293.59, Tk. 107.32, Tk. 356.46 and Tk. 700.8 respectively. Among the different actors, retailer incurred highest (in percentage) value addition and net marketing margin. On the other hand, aratdar incurred lowest marketing cost and marketing margin and bepari incurred highest (in percentage) marketing cost but adding second highest value in compare to another.Progressive Agriculture 27 (3): 327-338, 2016


2019 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Sabaruddin Sabaruddin

Mathematical analytics Important, analytical skills When students are able to understand analysis in physics learning, students will be able to answer questions with questions that are different from the examples given by the teacher. The aim of studying the increased thinking of participants in cognitive taxonomy analysis in Newton's law materials was approved using problem solving learning models. Hypothesis testing is done by comparing the average value of the ability of the initial test (pre-test) and the average ability of the final test (post-test) of students. The process of testing the hypothesis will test the normality and homogeneity test as a requirement to use parametric statistics, namely by using the t-test. Based on the results of the study obtained a value of tcount (8.25) and ttable value at dk = 42 with a 95% confidence level obtained at 2.02. This shows that tcount> t table. So can it be concluded that the expansion of students' thinking analysis ideas on cognitive taxonomy in the legal material used uses problem solving learning models.


2021 ◽  
Vol 1 (1) ◽  
pp. 150-154
Author(s):  
I. Yu. Melnikova ◽  
Yu. A. Tokarevа

The purpose of the research. The optimization of the method electrocardiogram’s interpretation (ECG) for diagnosis and prognosis of fatal cardiogenic situations among children and teenagers depending on the severity of myocardial electrical instability.Materials and methods. The authors propose to use a modified method for assessing the “electrical quality of the heart”, proposed by A. N. Volobuev and co-authors in order to assess the electrical instability of the myocardium among children and teenagers. There is a formula which helps to estimate the index of “electrical quality factor of the heart” among children and teenagers: D=(aR/aT):(QT/QRS), where D is the index of “electrical quality factor of the heart”, aT and aR is the amplitude of R wave and T, QT — QT interval, QRS — interval, QRS. ECG was recorded in 12 leads, ECG assessment was carried out according to generally accepted rules.Results. Based on the analysis of 234 ECG of children and teenagers from the neonatal period to 18 years, the criteria of the average value of the index of “electrical quality factor of the heart” (D) were defined, D =1,09 +/- 0,03. It is proved that the value of the index “electrical quality factor of the heart” does not depend on the sex and age of the child. There was a decrease in the index of “electrical quality factor of the heart” was revealed among children with the lengthening of the QT interval.Conclusion. The index of “electrical quality factor of the heart” in pediatric practice allows to predict the risk of fatal cardiogenic conditions, to develop tactics of dynamic monitoring of patients, to evaluate the efficiency of treatment. When D<0.55 it is possible to predict high risk, at a value of 0.55≤D<0.80 — average risk, and at D≥0.80 — low risk of fatal cardiogenic conditions among children and teenagers.


2018 ◽  
Vol 2 (2) ◽  
pp. 178-182
Author(s):  
Sutijo Joko Sudiro ◽  
Muchammad Farid ◽  
Eko Swistoro

ABSTRACT [Relationship between Groundwater Surface Depth with Salinity at the Coast of New Kungkai Beach and its Implementation on Discovery Learning Model]. The aims of this study were 1) to describe the relationship between groundwater surface depth with salinity in the coastal areas of new kungkai beach of Seluma, and 2) to determine the improvement of learning outcomes (cognitive) of high ability students, moderate and low by using discovery learning model on the concept of static fluid in class X computer and network engineering at SMK Negeri 3 Seluma. This research was a quasi experimental research with one groups pretest-posttest design. The results showed: 1) The relationship between depth with salinity has a value of 0.6478 with a significance level of 0.001 (<0.05); 2) Learning with discovery learning model can improve student learning outcomes on cognitive aspects (knowledge). Increased cognitive results can be seen from the average value of the initial test, the final test and the average value of gain in the class x Tkj is high-ability groups are at high criteria with a value of 0.75 gain in the group is in the criteria medium with the value of gain 0,52 and in the low group were in moderate criteria with a gain value of 0.44. There is a difference in learning outcomes between the high, medium and low groups. The difference is shown by Fcount > Ftable (4.04 > 3.35) with a significance level of 5%. Keywords: Groundwater surface depth; salinity; discovery learning model; SMKN 3 Seluma.


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