scholarly journals Opinion Impact Models and Opinion Consensus Methods in Ad Hoc Tactical Social Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Demin Li ◽  
Jie Zhou ◽  
Jingjuan Zhu ◽  
Jiacun Wang

Ad hoc social networks are special social networks, such as ad hoc tactical social networks, ad hoc firefighter social networks, and ad hoc vehicular social networks. The social networks possess both the properties of ad hoc network and social network. One of the challenge problems in ad hoc social networks is opinion impact and consensus, and the opinion impact plays a key role for information fusion and decision support in ad hoc social networks. In this paper, consider the impact of physical and logical distance on the opinions of individuals or nodes in heterogeneous social networks; we present a general opinion impact model, discuss the local and global opinion impact models in detail, and point out the relationship between the local opinion impact model and the global opinion impact model. For understanding the opinion impact models easily, we use the general opinion impact model to ad hoc tactical social networks and discuss the opinion impact and opinion consensus for ad hoc tactical social networks in the end.

Author(s):  
María Torres Serrano

The emerging phenomenon of FoMO has received the attention of a number of researchers. Studies have sought to establish the relationship between this phenomenon and the rise of social networks, and they have examined FoMO’s effects on the users of these networks. This paper continues this research in the form of a cross-sectional study aimed at establishing the relationships between fear of missing out, the use of the social network Instagram, narcissism and self-esteem. The sample consisted of 364 individuals, out of whom 301 participants were selected. Their ages ranged from 18 to 30 years old. For the purposes of this study, an ad hoc questionnaire was used for the variables related to Instagram use.   Data were also gathered via the  FoMO-E scale, the HSNS (to measure narcissism) and the Rosenberg self-esteem scale. The results show a positive correlation between the variables measuring Instagram use and FoMO, as well as between FoMO and narcissism. Meanwhile, there is a negative correlation between FoMO and self-esteem. Thus, the study’s initial hypotheses are confirmed. The study also has yielded new information on the studied constructs and their links to the use of social networks, specifically Instagram.


Author(s):  
Guoliang Yang ◽  
Zhihua Wang ◽  
Weijiong Wu

Little is known about the relationship between social comparison orientation and mental health, especially in the psychological capital context. We proposed a theoretical model to examine the impact of ability- and opinion-based social comparison orientation on mental health using data from 304 undergraduates. We also examined the mediating effect of the four psychological capital components of hope, self-efficacy, resilience, and optimism in the relationship between social comparison orientation and mental health. Results show that an ability (vs. opinion) social comparison orientation was negatively (vs. positively) related to the psychological capital components. Further, the resilience and optimism components of psychological capital fully mediated the social comparison orientation–mental health relationship. Our findings indicate that psychological capital should be considered in the promotion of mental health, and that the two social comparison orientation types have opposite effects on psychological capital.


Sexes ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
Andrea Sansone ◽  
Angelo Cignarelli ◽  
Daniele Mollaioli ◽  
Giacomo Ciocca ◽  
Erika Limoncin ◽  
...  

Sentiment analysis (SA) is a technique aimed at extracting opinions and sentiments through the analysis of text, often used in healthcare research to understand patients’ needs and interests. Data from social networks, such as Twitter, can provide useful insights on sexual behavior. We aimed to assess the perception of Valentine’s Day by performing SA on tweets we collected between 28 January and 13 February 2019. Analysis was done using ad hoc software. A total of 883,615 unique tweets containing the word “valentine” in their text were collected. Geo-localization was available for 48,918 tweets; most the tweets came from the US (36,889, 75.41%), the UK (2605, 5.33%) and Canada (1661, 3.4%). The number of tweets increased approaching February 14. “Love” was the most recurring word, appearing in 111,981 tweets, followed by “gift” (55,136), “special” (34,518) and “happy” (33,913). Overall, 7318 tweets mentioned “sex”: among these tweets, the most recurring words were “sexy” (2317 tweets), “love” (1394) and “gift” (679); words pertaining to intimacy and sexual activity, such as “lingerie”, “porn”, and “date” were less common. In conclusion, tweets about Valentine’s Day mostly focus on the emotions, or on the material aspect of the celebration, and the sexual aspect of Valentine’s Day is rarely mentioned.


Author(s):  
Simin Zou ◽  
Xuhui He

The unprecedented COVID-19 pandemic has caused a traffic tie-up across the world. In addition to home quarantine orders and travel bans, the social distance guideline of about six feet was enacted to reduce the risk of contagion. However, with recent life gradually returning to normal, the crisis is not over. In this research, a moving train test and a Gaussian puff model were employed to investigate the impact of wind raised by a train running on the transmission and dispersion of SARS-CoV-2 from infected individuals. Our findings suggest that the 2 m social distance guideline may not be enough; under train-induced wind action, human respiratory disease-carrier droplets may travel to unexpected places. However, there are deficiencies in passenger safety guidelines and it is necessary to improve the quantitative research in the relationship between train-induced wind and virus transmission. All these findings could provide a fresh insight to contain the spread of COVID-19 and provide a basis for preventing and controlling the pandemic virus, and probe into strategies for control of the disease in the future.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S71-S71
Author(s):  
Eleanor S McConnell ◽  
Kirsten Corazzini ◽  
T Robert Konrad

Abstract Although the impact of dementia on the health and well-being of those living with Alzheimer’s Disease and related Disorders (ADRD) and their care partners has been widely studied, less attention has been paid to how the disease impacts individuals within the context of their larger social networks. This symposium presents findings from a series of integrated studies aimed at strengthening measurement of health and well-being among older adults with living with dementia and well-being among members of their social networks. Findings will be presented from five studies: (1) a scoping review of social network measurement in older adults in chronic illness, including dementia, that emphasizes the use of technology in measuring older adults’ social networks; (2) a simulation study to evaluate the feasibility and reliability of sensor technology to measure social interaction among a person living with dementia and others in their immediate surroundings; (3) development of a web-based application that allows older adults to map and activate their social networks; (4) a qualitative analysis of interviews from persons living with dementia, their unpaid caregivers, and paid caregivers from an adult day health program concerning well-being focused outcomes; and (5) a mixed methods analysis of the feasibility of using both traditional and novel measures of health and well-being deployed among networks of people living with dementia. Emerging technologies for measuring social networks health and well-being hold promise for advancing the study of the relationship-based nature of care for people living with dementia.


2013 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Said JAOUADI ◽  
Lamia ARFAOUI ◽  
Azza ZIEDI

The paper attempted to examine the causal relationship between political instability and growth. Currently, the world continues to record huge number of popular revolutions in the region MENA, to improve the social environment and to consolidate implementing an effective governance. Although, the uprising has harmed the financial and economic situation in these countries, and became a threat for the stability of the countries, in overall.The manuscript accounts for the impact of political instability on the growth of the developing countries, in the shadow of the widespread of the revolutions since 2011. The paper attempted to illuminate the reality of the relationship between political environment and growth through the estimation of panel, comprising 69 developing countries 1985-2012.In the current paper, the authors conducted an empirical investigation, in which we bore out the claims raised in many surveys and the conclusions drawn by several authors about the harmful impact of political instability on the fundamental bases of the economy, in countries recording political instability.


2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Jun Long ◽  
Lei Zhu ◽  
Zhan Yang ◽  
Chengyuan Zhang ◽  
Xinpan Yuan

Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex. However, it is pervasive that a character is denoted by two or more vertices with different names; thus it is usually considered as multiple, different characters. This problem causes incorrectness of results in network analysis and mining. The factual challenge is that character uniqueness is hard to correctly confirm due to lots of complicated factors, for example, name changing and anonymization, leading to character duplication. Early, limited research has shown that previous methods depended overly upon supplementary attribute information from databases. In this paper, we propose a novel method to merge the character vertices which refer to the same entity but are denoted with different names. With this method, we firstly build the relationship network among characters based on records of social activities participating, which are extracted from multimedia sources. Then we define temporal activity paths (TAPs) for each character over time. After that, we measure similarity of the TAPs for any two characters. If the similarity is high enough, the two vertices should be considered as the same character. Based on TAPs, we can determine whether to merge the two character vertices. Our experiments showed that this solution can accurately confirm character uniqueness in large-scale social network.


Open Mind ◽  
2019 ◽  
Vol 3 ◽  
pp. 1-12 ◽  
Author(s):  
Sarah L. Dziura ◽  
James C. Thompson

Social functioning involves learning about the social networks in which we live and interact; knowing not just our friends, but also who is friends with our friends. This study utilized an incidental learning paradigm and representational similarity analysis (RSA), a functional MRI multivariate pattern analysis technique, to examine the relationship between learning social networks and the brain’s response to the faces within the networks. We found that accuracy of learning face pair relationships through observation is correlated with neural similarity patterns to those pairs in the left temporoparietal junction (TPJ), the left fusiform gyrus, and the subcallosal ventromedial prefrontal cortex (vmPFC), all areas previously implicated in social cognition. This model was also significant in portions of the cerebellum and thalamus. These results show that the similarity of neural patterns represent how accurately we understand the closeness of any two faces within a network. Our findings indicate that these areas of the brain not only process knowledge and understanding of others, but also support learning relations between individuals in groups.


Author(s):  
Yair Amichai-Hamburger ◽  
Shir Etgar ◽  
Hadar Gil-Ad ◽  
Michal Levitan-Giat ◽  
Gaya Raz

Celebrities are famous people who often belong to entertainment industry. They are known to have a strong influence on people’s behavior. In the digital age this impact has expanded to include the online arena. Celebrities increasingly utilize Instagram, an online social network, to promote commercial products. It is important to learn to what extent people are influenced by this type of promotion and what sort of people are likely to be swayed by it. Research has demonstrated that people’s personalities have a strong impact on their behaviors online. However, until now, these investigations have not included the relationship between personality and the degree of celebrity influence through social networks. This study examines how much the personality of a user is related to the degree to which he or she is influenced by these Celebrity Instagram messages. Participants comprised 121 students (34 males, 87 females). They answered questionnaires which focused on their personality and were asked about the degree of influence celebrities exerted upon them through Instagram. Results showed that people who are characterized as being open and having an internal locus of control are more resistant to such celebrity influences. This paper demonstrates that the personality of a recipient is likely to influence the degree of impact that a celebrity endorsement is likely to produce. The implications of these results are discussed.


Author(s):  
Khalid Abdulkareem Al-Enezi ◽  
Imad Fakhri Taha Al Shaikhli ◽  
Sufyan Salim Mahmood AlDabbagh

<span>This research aims to measure the role of social networks in influencing purchasing decisions among consumers in Kuwait; the research used the quantitative methods, and analytical the technique to get the results, and the research developed a measure to study the relationship between the variables to the study and selection of a sample of consumers of (100). The results indicated that the social networking variables (exchange of information, evaluation of product) possess influence on purchasing decisions. Furthermore, the results indicate that majority of respondents do their digital scanning more often before intend to go to the store. The unexpected results came from the question “traditional advertising (TV, Newspaper, Magazine, Billboards) are more effective than the social networking; 23% agreed, 36% said no, and 41% said sometimes. In light of these findings, the study made a series of recommendations; the most important are; The executives and sales representatives need to understand the benefits offered by social networks, and understand the advantages and functions and tools of social communication, and knowing how to apply them effectively and efficiently, and then use the appropriate social networking tool.</span>


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