scholarly journals Social Networks through the Prism of Cognition

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Radosław Michalski ◽  
Boleslaw K. Szymanski ◽  
Przemysław Kazienko ◽  
Christian Lebiere ◽  
Omar Lizardo ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Human Memory ◽  
Cognitive Factors ◽  
Human Relations ◽  
Related Event ◽  
Information Share ◽  
Human Interactions ◽  
Social Events

Human relations are driven by social events—people interact, exchange information, share knowledge and emotions, and gather news from mass media. These events leave traces in human memory, the strength of which depends on cognitive factors such as emotions or attention span. Each trace continuously weakens over time unless another related event activity strengthens it. Here, we introduce a novel cognition-driven social network (CogSNet) model that accounts for cognitive aspects of social perception. The model explicitly represents each social interaction as a trace in human memory with its corresponding dynamics. The strength of the trace is the only measure of the influence that the interactions had on a person. For validation, we apply our model to NetSense data on social interactions among university students. The results show that CogSNet significantly improves the quality of modeling of human interactions in social networks.

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

scholarly journals Optimization Algorithms for Detection of Social Interactions

Algorithms ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 139 ◽  
Author(s):  
Vincenzo Cutello ◽  
Georgia Fargetta ◽  
Mario Pavone ◽  
Rocco A. Scollo
Keyword(s):  
Social Networks ◽  
Local Search ◽  
Social Interactions ◽  
Community Detection ◽  
Experimental Analysis ◽  
Search Strategy ◽  
Random Search ◽  
Optimization Methods ◽  
Research Areas ◽  
Greedy Optimization

Community detection is one of the most challenging and interesting problems in many research areas. Being able to detect highly linked communities in a network can lead to many benefits, such as understanding relationships between entities or interactions between biological genes, for instance. Two different immunological algorithms have been designed for this problem, called Opt-IA and Hybrid-IA, respectively. The main difference between the two algorithms is the search strategy and related immunological operators developed: the first carries out a random search together with purely stochastic operators; the last one is instead based on a deterministic Local Search that tries to refine and improve the current solutions discovered. The robustness of Opt-IA and Hybrid-IA has been assessed on several real social networks. These same networks have also been considered for comparing both algorithms with other seven different metaheuristics and the well-known greedy optimization Louvain algorithm. The experimental analysis conducted proves that Opt-IA and Hybrid-IA are reliable optimization methods for community detection, outperforming all compared algorithms.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

scholarly journals Three Strategies for Describing Social Interactions of Adolescents in a Multicultural Environment—Indicators for the Quality of Life Research

2021 ◽  
Vol 18 (15) ◽  
pp. 8166
Author(s):  
Alicja Szerląg ◽  
Arkadiusz Urbanek ◽  
Kamila Gandecka
Keyword(s):  
Quality Of Life ◽  
Social Interactions ◽  
Social Relationships ◽  
Social Relations ◽  
Living Environment ◽  
Life Assessment ◽  
Multicultural Environment ◽  
Multicultural Community ◽  
The Social

Background: The analysis has involved social interactions in a multicultural environment. The social context has been defined by the Vilnius region (Lithuania), where national, religious, and cultural differences exist across generations (multicultural community). The space of “social relationships”, as one of the modules of the WHO quality of life assessment, has been studied. An innovation of the research has been related to the analysis of the phenomenon of community of nationalities and cultures as a predictor of quality of life (QoL). The social motive of the research has been the historical continuity (for centuries) of the construction of the Vilnius cultural borderland. Here, the local community evolves from a group of many cultures to an intercultural community. Interpreting the data, therefore, requires a long perspective (a few generations) to understand the quality of relationships. We see social interactions and strategies for building them as a potential for social QoL in multicultural environments. Methods: The research has been conducted on a sample of 374 respondents, including Poles (172), Lithuanians (133), and Russians (69). A diagnostic poll has been used. The respondents were adolescents (15–16 years). The research answers the question: What variables form the interaction strategies of adolescents in a multicultural environment? The findings relate to interpreting the social interactions of adolescents within the boundaries of their living environment. The description of the social relations of adolescents provides an opportunity to implement the findings for further research on QoL. Results: An innovative outcome of the research is the analysis of 3 interaction strategies (attachment to national identification, intercultural dialogue, and multicultural community building) as a background for interpreting QoL in a multicultural environment. Their understanding is a useful knowledge for QoL researchers. The data analysis has taken into account cultural and generational (historical) sensitivities. Therefore, the team studying the data has consisted of researchers and residents of the Vilnius region. We used the interaction strategies of adolescents to describe the category of “social relationships” in nationally and culturally diverse settings.

scholarly journals Recognizing Affiliation: Using Behavioural Traces to Predict the Quality of Social Interactions in Online Games

2020 ◽  
Author(s):  
Julian Frommel ◽  
Valentin Sagl ◽  
Ansgar E. Depping ◽  
Colby Johanson ◽  
Matthew K. Miller ◽  
...  
Keyword(s):  
Social Interactions ◽  
Online Games

scholarly journals Emergence and evolution of social networks through exploration of the Adjacent Possible space

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Enrico Ubaldi ◽  
Raffaella Burioni ◽  
Vittorio Loreto ◽  
Francesca Tria
Keyword(s):  
Social Networks ◽  
Community Structure ◽  
Social Interactions ◽  
Clustering Coefficient ◽  
Human Beings ◽  
Broad Distribution ◽  
Phone Calls ◽  
Dynamical Features ◽  
Twitter Users ◽  
American Physical

AbstractThe interactions among human beings represent the backbone of our societies. How people establish new connections and allocate their social interactions among them can reveal a lot of our social organisation. We leverage on a recent mathematical formalisation of the Adjacent Possible space to propose a microscopic model accounting for the growth and dynamics of social networks. At the individual’s level, our model correctly reproduces the rate at which people acquire new acquaintances as well as how they allocate their interactions among existing edges. On the macroscopic side, the model reproduces the key topological and dynamical features of social networks: the broad distribution of degree and activities, the average clustering coefficient and the community structure. The theory is born out in three diverse real-world social networks: the network of mentions between Twitter users, the network of co-authorship of the American Physical Society journals, and a mobile-phone-calls network.

Communication in social networks of St. Petersburg as a means of adaptation of ethnocultural communities

Litera ◽  
2021 ◽  
pp. 38-55
Author(s):  
Rivaa Mukhammad Salem Alsalibi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Ethnic Communities ◽  
Sense Of Security ◽  
The Social ◽  
The Subject ◽  
Development Prospects

The subject of this research is the specifics, forms and functions of interaction in social media groups between the representatives of ethnic communities. The goal consists in determination of the role of social networks in adaptation of ethnocultural communities of St. Petersburg. The research is based on the polling technique for acquisition of information on the cognitive, emotional, and behavioral state of a person. The survey was conducted via distribution of questionnaires among the representatives of ethnic groups. The article also employs the method of systematic scientific observation over the social media groups, topic raised therein, as well as reading and analysis of the comments. The scientific novelty of this work consists in outlining of the nature, trends and development prospects of cross-cultural communications as the channel for ethnocultural interaction.  The main conclusions, which touch upon users from various ethnic communities who do not have enough experience in organization of activity of social media groups, demonstrate that it causes the loss of the sense of security, accumulation of prejudices and escalation of interethnic conflicts, as well as preference of the with restricted access, which contributes to lock down of the group and impedes adaptation in the accepting society. Stabilization of situation can be achieved by improvement of the quality of content posted in the social media, as well as level of their administration.

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