From homophily to exclusion in small social systems.

The actors are placed at nodes of the complete weighted graph. They are endowed with densities of contact with the other actors and with positions in a social hierarchy. These characteristics evolve in time according to the homophily principle and the Matthew effect.

Is journal prestige indicator equivalent of money for humans?

In this paper, we investigate the time evolution of the rank correlation coefficients of the prestige indicators of the journals (such as Scimago Journal Rank) over 21 years, for 9856 journals in various disciplines. The observed dependencies do not differ qualitatively from those observed for the time evolution of the ranking correlations in wealth rheology among the richest people recently found by Burda et al. [Entropy 23, 842 (2021)], but quantitatively the changes in rank correlations for human wealth are much stronger than in the coefficients measuring the prestige of journals.

Recovering Zipf's law in intercontinental scientific cooperation.

Scientific cooperation on an international level has been well studied in the literature. However, much less is known about this cooperation on an intercontinental level. In this paper, we address this issue by creating a collection of approximately 13.

Perfect cycles in the synchronous Heider dynamics in complete network.

We discuss a cellular automaton simulating the process of reaching Heider balance in a fully connected network. The dynamics of the automaton is defined by a deterministic, synchronous, and global update rule. The dynamics has a very rich spectrum of attractors including fixed points and limit cycles, the length and number of which change with the size of the system.

Structural Balance of Opinions.

The concept of Heider balance, usually applied to interpersonal relations, is generalized here to opinions gathered in surveys. At first, we compare four algorithms, which drive a matrix dataset to a balanced state. The criterion is that the final state obtained with an algorithm should be as close as possible to the initial state.

The Spread of Ideas in a Network-The Garbage-Can Model.

The main goal of our work is to show how ideas change in social networks. Our analysis is based on three concepts: (i) temporal networks, (ii) the Axelrod model of culture dissemination, (iii) the garbage can model of organizational choice. The use of the concept of temporal networks allows us to show the dynamics of ideas spreading processes in networks, thanks to the analysis of contacts between agents in networks.

Towards the Heider balance: Cellular automaton with a global neighborhood.

We study a simple deterministic map that leads a fully connected network to the Heider balance. The map is realized by an algorithm that updates all links synchronously in a way depending on the state of the entire network. We observe that the probability of reaching a balanced state increases with the system size N.

Wealth Rheology.

We study wealth rank correlations in a simple model of macroeconomy. To quantify rank correlations between wealth rankings at different times, we use Kendall's τ and Spearman's ρ, Goodman-Kruskal's γ, and the lists' overlap ratio. We show that the dynamics of wealth flow and the speed of reshuffling in the ranking list depend on parameters of the model controlling the wealth exchange rate and the wealth growth volatility.

The Heider balance and the looking-glass self: modelling dynamics of social relations.

We consider the dynamics of interpersonal relations which leads to balanced states in a fully connected network. Here this approach is applied to directed networks with asymmetric relations, and it is generalized to include self-evaluation of actors, according to the 'looking-glass self' theory. A new index of self-acceptance is proposed: the relation of an actor to him/herself is positive, if the majority of his/her positive relations to others are reciprocated.

Hierarchical partitions of social networks between rivaling leaders.

A model algorithm is proposed to imitate a series of of consecutive conflicts between leaders in social groups. The leaders are represented by local hubs, i.e.

Analysis of region-specific changes in gene expression upon treatment with citalopram and desipramine reveals temporal dynamics in response to antidepressant drugs at the transcriptome level.

Rationale: The notion that the onset of action of antidepressant drugs (ADs) takes weeks is widely accepted; however, the sequence of events necessary for therapeutic effects still remains obscure.

Objective: We aimed to evaluate a time-course of ADs-induced alterations in the expression of 95 selected genes in 4 regions of the rat brain: the prefrontal and cingulate cortices, the dentate gyrus of the hippocampus, and the amygdala.

Methods: We employed RT-PCR array to evaluate changes during a time-course (1, 3, 7, 14, and 21 days) of treatments with desipramine (DMI) and citalopram (CIT).

Differential equations as a tool for community identification.

We consider the task of identification of a cluster structure in random networks. The results of two methods are presented: (i) the Newman algorithm [M. E.

Diffusion constant in gel electrophoresis at high fields.

We present new measurements of the diffusion constant D in standard (slab-gel) electrophoresis of DNA at fields up to 10 V/cm. Molecules investigated are bacteriophages: T4 of length 173 kbp and lambda of length 48.5 kbp cut by restriction enzyme HindIII.

Mean free path and peak dispersion in the geometration motion in gel electrophoresis.

The concept of the mean free path, i.e., the mean distance between subsequent collisions of DNA molecules with gel fibers, is introduced to the model description of the geometration effect.