scholarly journals Non-dominated sorting based multi-page photo collage

2021 ◽  
Vol 8 (2) ◽  
pp. 199-212
Author(s):  
Yu Song ◽  
Fan Tang ◽  
Weiming Dong ◽  
Changsheng Xu

AbstractThe development of social networking services (SNSs) revealed a surge in image sharing. The sharing mode of multi-page photo collage (MPC), which posts several image collages at a time, can often be observed on many social network platforms, which enables uploading images and arrangement in a logical order. This study focuses on the construction of MPC for an image collection and its formulation as an issue of joint optimization, which involves not only the arrangement in a single collage but also the arrangement among different collages. Novel balance-aware measurements, which merge graphic features and psychological achievements, are introduced. Non-dominated sorting genetic algorithm is adopted to optimize the MPC guided by the measurements. Experiments demonstrate that the proposed method can lead to diverse, visually pleasant, and logically clear MPC results, which are comparable to manually designed MPC results.

Author(s):  
Serhii Puhach

The intensive development of new information and communication technologies (ICT) has led to major changes in society. The widespread use of smartphones and mobile communications has allowed today to create new programs and services to improve human life. This development changes the established habits of human communication, the relationship between society and the environment. A social networking service (SNS) is a service (on a website or through a mobile application) that allows users to share a personal profile and establish contacts with other users. Social networking services affect the territorial organization of society and can be used for the development of both settlements and entire territories to make their development more sustainable and balanced. The study of social networking services is currently on the rise. The joint efforts of many sciences (sociology, psychology, geography, mathematics, statistics, computer science, etc.) are needed to understand the subject essence of the phenomenon and to analyze data. Approaches to the study of social networking services can be divided into three large groups: 1) in terms of human relations and relationships; 2) in terms of content distributed on the network; 3) in terms of spatial aspects of the functioning of the social network. In Ukraine, there are no detailed studies of the spatial aspects of the spread of social networking services at the local level. In the Ternopil region, there is a pattern of concentration of the majority of Facebook and Instagram users in the largest cities, namely Ternopil, Chortkiv, Berezhany, Kremenets. Buchach, Borshchiv, Zalishchyky, Terebovlya, and Shumsk districts stand out among the districts by the number of users. An important indicator that characterizes the spread of social networking services is the penetration rate of the social network, which is calculated as the ratio of the number of users in a certain territory to the population living in it. Cities of regional subordination differ in terms of the penetration rate of SNS. The highest values were observed in Chortkiv, Ternopil, Kremenets cities. The penetration rate of social networking services in the administrative districts of Ternopil region is much lower. A relatively high rate (over 30%) was recorded in Buchach, Berezhany and Shumsk districts. Extremely low penetration rate (less than 5%) is in Zbarazh, Chortkiv, Zboriv districts which are adjacent to the cities of regional subordination. The social networking service Instagram is inferior to Facebook in level of development, and its main users are mainly young people. However, in the territories where the rate of Facebook penetration is the lowest in the region (Ternopil, Zbarazh, Chortkiv, Zboriv districts), the predominance of Instagram is noted. Thus, the main patterns of spatial distribution of SNS’ Facebook and Instagram in Ternopil region are: concentration of users in the largest cities, especially in the regional center Ternopil City (half of Facebook and Instagram users in the region); the number of users is proportional to the population in the territorial unit; small number of users and low penetration rate of the SNS’ in the administrative districts adjacent to the cities of regional subordination Ternopil and Chortkiv; among administrative districts, higher indicators of social network development are typical for northern and southern districts in comparison with central ones. Key words: social networking service (SNS), penetration rate of the SNS, Facebook, Instagram, Ternopil region.


2019 ◽  
Vol 53 (1) ◽  
pp. 123-139 ◽  
Author(s):  
Wen Zong ◽  
Jing Yang ◽  
Zheshi Bao

Purpose The purpose of this paper is to explore how social network fatigue affects continuance intention of social networking services (SNSs) from a more comprehensive perspective. Design/methodology/approach A research model was proposed by integrating uses and gratification theory (UGT), social network fatigue and continuance intention. The relationships between the three dimensions of UGT and continuance intention were examined, as well as the direct and moderating effects of social network fatigue. To collect data, an online survey was adopted, and 227 valid responses were analyzed by structural equation modeling. Findings The empirical findings demonstrate that utilitarian gratification (information seeking), social gratification (social interaction) and hedonic gratification (perceived enjoyment) are positively associated with SNS users’ continuance intention. Meanwhile, social network fatigue can directly and negatively affect continuance intention. Furthermore, the relationships between the two dimensions of UGT (information seeking, perceived enjoyment) and continuance intention are also negatively moderated by social network fatigue. Originality/value This study contributes to the understanding about the relationship between continuance intention and social network fatigue. The authors indicate that social network fatigue will not only directly weaken SNS users’ continuance intention, but also negatively influence the formation process of the continuance intention. Some other theoretical and practical implications are also provided.


Author(s):  
Antoni Munar ◽  
Esteban Chiner

Know your customer is a core element of any customer relationship management system for mass service organizations. The emergence of social networking services has provided a radically new dimension, creating a more personalized, deeper, ubiquitous and almost real time relation with customers. At the same time, some of the more widespread social network platforms seem to be evolving not only as social networks between individuals but also as mass information distribution media. When knowing your customer through social networking services, it may be of interest to disambiguate which part of the customer context in the network relates to his peers from other sources. In this paper we present an algorithmic approach to disambiguate one aspect of such relation, as expressed in the nature of the contacts established in the social network: with peers or with organizations, news media or influencers. We focus in the case of Twitter where a simple supervised linear regression can provide a ranking score, effectively discriminating and ordering by closeness peer and other types of contacts (mass media or influencers). Such discrimination can serve as a preliminary step for deeper analysis or privacy protection of customer interaction and is suitable for implementation in automated Big Data systems.


2011 ◽  
pp. 909-924
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.


Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.


2021 ◽  
Vol 3 (1) ◽  
pp. 45-58
Author(s):  
Jovana Trajković

The rapid development of technologies and their rapid transformation influenced changes in the world and people’s lives and the educational process evolved. Traditional methods of education are enriched with modern technologies, and digital devices become significant elements in modern education. Social network platforms are an important part of life in modern society, they are visited daily by a huge number of people using computers, tablets and smartphones. Their popularity has made them convenient for use in various fields. These platforms have been accepted as student learning support tools, which is why they are increasingly important in the field of higher education. The paper explores the use of social network platforms in higher education, with a focus on social networking services provided by Instagram. In this research, we tried to determine whether the students of journalism and communication used Instagram for educational purposes. Students (N=100) were surveyed through a printed questionnaire at the Faculty of Philosophy. The results show that most students use social networking services for educational purposes. The platform they use for this purpose is Facebook. When it comes to Instagram, most respondents have an Instagram account but do not use it in education.


2020 ◽  
Vol 12 (2) ◽  
pp. 502
Author(s):  
Yong Joon Hyoung ◽  
Arum Park ◽  
Kyoung Jun Lee

The sustainability of SNSs (social networking services) is a major issue for both business strategists and those who are simply academically curious. The “network effect” is one of the most important theories used to explain the competitive advantage and sustainability of the largest SNSs in the face of the emergence of multiple competitive followers. However, as numerous cases can be observed when a follower manages to overcome the previously largest SNS, we propose the following research question: Why are the largest social networking services sometimes unable to sustain themselves? This question can also be paraphrased as follows: When (under what conditions) do the largest SNSs collapse? Although the network effect generally enables larger networks to survive and thrive, exceptional cases have been observed, such as NateOn Messenger catching up with MSN Messenger in Korea (Case 1), KakaoTalk catching up with NateOn in Korea (Case 2), Facebook catching up with Myspace in the USA (Case 3), and Facebook catching up with Cyworld in Korea (Case 4). To explain these cases, hypothesis-building and practice-oriented methods were chosen. While developing our hypothesis, we coined the concept of a “larger population social network” (LPSN) and proposed an “LPSN effect hypothesis” as follows: The largest SNS in one area can collapse when a new SNS grows in another larger population’s social network. For the validity and reliability of our case studies, we used an evidence chain and case study protocol with a publicly-accessible LPSN index to determine which SNS is better for participating in or adding offline social networks to their platform.


2019 ◽  
Author(s):  
Jungu Kim ◽  
Su Cheol Kim ◽  
Jaegwon Jeong ◽  
Myeong Gyu Kim

BACKGROUND Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder (ADHD), has the potential for nonmedical uses such as study and recreation. In the era of active use of social networking services (SNSs), experience with the nonmedical use or side effects of methylphenidate might be shared on Twitter. OBJECTIVE To analyze monthly tweets about methylphenidate, its nonmedical use and side effects, and user sentiments about methylphenidate. METHODS Tweets mentioning methylphenidate from August 2018 to July 2019 were collected using search terms for methylphenidate and its brand names. Only tweets written in English were included. The monthly number of tweets about methylphenidate and the number of tweets containing keywords related to the nonmedical use and side effects of methylphenidate were analyzed. Precision was calculated as the number of true nonmedical use or side effects divided by the number of tweets containing each keywords. Sentiment analysis was conducted using the text and emoji in tweets, and tweets were categorized as very negative (less than -3), negative (-3 to -1), neutral (0), positive (1 to 3), or very positive (more than 3), depending on the sentiment score. RESULTS A total of 4,169 tweets were ultimately selected for analysis. The number of tweets per month was lowest in August (n=264) and highest in May (n=435). There were 292 (7.0%) tweets about nonmedical uses of methylphenidate. Among those, 200 (4.8%) described use for studying, and 15 (0.4%) described use for recreation. In 91 (2.2%) tweets, snorting methylphenidate was mentioned. Side effects of methylphenidate, mainly poor appetite (n=74, 1.8%) and insomnia (n=54, 1.3%), were reported in 316 (7.6%) tweets. The average sentiment score was 0.027 ± 1.475, and neutral tweets were the most abundant (n=1,593, 38.2%). CONCLUSIONS Tweets about methylphenidate were most abundant in May, mentioned nonmedical use for study or recreation, and contained information about side effects. Analysis of Twitter has the advantage of saving the cost and time needed to conduct a survey, and could help identify nonmedical uses and side effects of drugs.


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