Analysis Of Social Communities Research Articles

Amalgamated territorial hromadas as new local communities in Ukraine: mechanisms of social cohesion formation

The article is dedicated to the systematic analysis of the peculiarities of the formation and functioning of amalgamated territorial communities in Ukraine as new local social communities. Analyzing the legislative procedure of amalgamation, the author distinguishes the essential features of amalgamated territorial communities that are different from other settlement communities. Within the framework of this investigation, the newly amalgamated hromadas appear as a “second-order” phenomenon, which is a socio-legal construct that is formed in a consensual manner and on a voluntary reciprocal basis. Basing on the analysis of qualitative sociological research data the author demonstrates the importance of the functioning of reciprocity mechanisms at the level of orientations and practices of all social actors involved in the procedure of territorial communities amalgamation. It is illustrated that the "failure" of reciprocity mechanisms contributes to the change of merger scenarios, causes the postponement of this process and the emergence of conflict situations. The paper substantiates that the legislative procedure of territorial communities amalgamation intensifies the formation of social capital and the establishment of a new civic social order. The special, different social status of amalgamated territorial communities in comparison with other settlement communities is explained by the emergence of the phenomenon of social cohesion, the mechanisms of activation of which are contained in the legislative order of territorial communities amalgamation. It is concluded that an important theoretical basis for the sociological conceptualization of ATC is the concept of reciprocity, which explains the mechanism of successful amalgamation, which is facilitated by the attitudes and practices of reciprocity of all involved social actors. According to the author’s point of view, the sociological synthesis of spatial and activity approaches to the analysis of social communities within the framework of sociological conceptualization of united territorial communities is considered heuristic. The synthesis of these approaches emphasizes both the importance of the spatial context of interactions emergence and reproduction, and their essential functionality in the formation and reproduction of hromada social order.

Predicting Community Evolution in Social Networks

Nowadays, sustained development of different social media can be observed worldwide. One of the relevant research domains intensively explored recently is analysis of social communities existing in social media as well as prediction of their future evolution taking into account collected historical evolution chains. These evolution chains proposed in the paper contain group states in the previous time frames and its historical transitions that were identified using one out of two methods: Stable Group Changes Identification (SGCI) and Group Evolution Discovery (GED). Based on the observed evolution chains of various length, structural network features are extracted, validated and selected as well as used to learn classification models. The experimental studies were performed on three real datasets with different profile: DBLP, Facebook and Polish blogosphere. The process of group prediction was analysed with respect to different classifiers as well as various descriptive feature sets extracted from evolution chains of different length. The results revealed that, in general, the longer evolution chains the better predictive abilities of the classification models. However, chains of length 3 to 7 enabled the GED-based method to almost reach its maximum possible prediction quality. For SGCI, this value was at the level of 3–5 last periods.

Prediction of Rat Behavior Outcomes in Memory Tasks Using Functional Connections among Neurons

BackgroundAnalyzing the neuronal organizational structures and studying the changes in the behavior of the organism is key to understanding cognitive functions of the brain. Although some studies have indicated that spatiotemporal firing patterns of neuronal populations have a certain relationship with the behavioral responses, the issues of whether there are any relationships between the functional networks comprised of these cortical neurons and behavioral tasks and whether it is possible to take advantage of these networks to predict correct and incorrect outcomes of single trials of animals are still unresolved.Methodology/Principal FindingsThis paper presents a new method of analyzing the structures of whole-recorded neuronal functional networks (WNFNs) and local neuronal circuit groups (LNCGs). The activity of these neurons was recorded in several rats. The rats performed two different behavioral tasks, the Y-maze task and the U-maze task. Using the results of the assessment of the WNFNs and LNCGs, this paper describes a realization procedure for predicting the behavioral outcomes of single trials. The methodology consists of four main parts: construction of WNFNs from recorded neuronal spike trains, partitioning the WNFNs into the optimal LNCGs using social community analysis, unsupervised clustering of all trials from each dataset into two different clusters, and predicting the behavioral outcomes of single trials. The results show that WNFNs and LNCGs correlate with the behavior of the animal. The U-maze datasets show higher accuracy for unsupervised clustering results than those from the Y-maze task, and these datasets can be used to predict behavioral responses effectively.Conclusions/SignificanceThe results of the present study suggest that a methodology proposed in this paper is suitable for analysis of the characteristics of neuronal functional networks and the prediction of rat behavior. These types of structures in cortical ensemble activity may be critical to information representation during the execution of behavior.

Social and place-focused communities in location-based online social networks

Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence upon users’ habits and mobility has many potential applications, including resource recommendation and link prediction. Here, we construct and characterise social and place-focused graphs by using longitudinal information about declared social relationships and about users’ visits to physical places collected from a popular online location-based social service. We show that although the social and place-focused graphs are constructed from the same data set, they have quite different structural properties. We find that the social and location-focused graphs have different global and meso-scale structure, and in particular that social and place-focused communities have negligible overlap. Consequently, group inference based on community detection performed on the social graph alone fails to isolate place-focused groups, even though these do exist in the network. By studying the evolution of tie structure within communities, we show that the time period over which location data are aggregated has a substantial impact on the stability of place-focused communities, and that information about place-based groups may be more useful for user-centric applications than that obtained from the analysis of social communities alone.

Social Community Analysis via a Factor Graph Model

Formalizing social networks in a factor graph model and using a learning algorithm to estimate the pairwise social influence between nodes can help inform multilevel social community analysis.

La novela autobiográfica de Mohammed Chukri como fuente para una etnografía de la pobreza urbana en Marruecos

The Naked Bread was the first novel written by Moroccan writer Mohammed Chukri. The author himself has described it as an autobiographical work, for it narrates the misadventures of a kid from the rural Rift migrating with his family to Tangiers, where they settle in a slum. The novel illustrates the passing from rural poverty to urban destitution in the Morocco of the Spanish Protectorate. By analyzing the novel, Castano Madronal discusses the validity of literary works as suitable sources of ethnographic data for the social conditions reigning in the underprivileged areas of Moroccan cities. A parallel can be established with current rural migration to urban areas and to countries north of Morocco. The analysis builds upon the hypothesis of an ethnoliterature that draws from literary sources to approach the social reality ethnographically. Ethnoliterature can be a useful source for cultural knowledge prior to ethnographic study. It can also be a tool for cross-cultural comparisons and the anthropological analysis of social communities.