scholarly journals Using Costumer Behavior to Build Social Network Based on Mole-Algorithm

2019 ◽  
Vol 8 (4) ◽  
pp. 4324-4328
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Modern Technology ◽  
Trust Network ◽  
Building Relationships ◽  
Satisfactory Level ◽  
Trust Relationships ◽  
Trust Networks

The modern technology has great interring on building relationships between users on social networking. Therefore, it is possible to promote goods, advertisements and rumors among people easily. A trust network is created for each member. With this model, Members are represented as nodes in the graph, and trust relationships are represented between members according to the directed edges.This approach is based on the premise the neighbors with higher trust ratings are likely to agree with each other about the trustworthiness.The question here is: how can trust networks be built between users? This work proposed to build a social network based on the Mole algorithm. The user’s behavior is extracted to be use instead of user's rates in the original mole algorithm. The outcomes of this method were of a higher satisfactory level and a remarkably increased accuracy value by 15% over traditional Mole algorithm.

scholarly journals Opportunistic Behavior Governance in PPP Projects: An Analysis Based on Trust Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiang Wang ◽  
Yilin Yin ◽  
Jiaojiao Deng ◽  
Zhichao Xu
Keyword(s):  
Social Network ◽  
Preventive Measures ◽  
Inhibitory Effect ◽  
Closeness Centrality ◽  
Opportunistic Behavior ◽  
Trust Network ◽  
Trust Relationship ◽  
Index Analysis ◽  
Trust Networks

Stakeholders of PPP projects may induce opportunistic behaviors in long-term cooperation. Existing studies emphasized the inhibitory effect of trust on opportunistic behaviors, but most of them simplified the trust relationship into a two-subject perspective. From the perspective of social network analysis, this research constructs a network-level trust relationship between the stakeholders of PPP projects. The index analysis of the trust network shows that the PPP project stakeholders have obvious centrality and there are structural holes in the networks. From the perspective of the stakeholder alliance, different forms of alliances differ in the degree, betweenness, and closeness centrality of the trust network. On this basis, the analysis results of different trust network indicators match the corresponding preventive measures of opportunistic behavior, and this research provides comprehensive suggestions for project management.

scholarly journals Teachers’ professional collaboration and trust relationships: An inferential social network analysis of teacher teams

2021 ◽  
pp. 003452372110315
Author(s):  
Nina Kolleck ◽  
Johannes Schuster ◽  
Ulrike Hartmann ◽  
Cornelia Gräsel
Keyword(s):  
Social Network ◽  
Teacher Collaboration ◽  
Classroom Practices ◽  
Research Literature ◽  
School Level ◽  
Teacher Teams ◽  
Exponential Random Graph Models ◽  
Network Analyses ◽  
Trust Relationships ◽  
General Network

In recent years, teachers around the world have been increasingly confronted with various expectations concerning the improvement of their classroom practices and school activities. One factor widely acknowledged to facilitate school and classroom improvement is a strong collaborative culture among teachers. As such, teachers are expected to work in teacher teams, to collaborate closely with colleagues, to co-construct classroom practices, and thus to strengthen trust relationships within the team. A growing number of researchers has analyzed how teachers address these expectations. They suggest that there is a link between teachers’ embeddedness in collaboration networks and teachers’ trust relationships. The present study seeks to contribute to the research literature by presenting results of Social Network Analyses (SNA) and exponential random graph models (ERGMs) on teacher collaboration in nine secondary schools in Germany (N = 366 teachers). We investigate how the involvement of teachers in co-constructive collaboration in schools, measured by the amount of team teaching (TT), relates to teachers’ trust levels. Results of our analyses suggest that a high amount of TT is not necessarily related to a higher degree of trust among teachers at the school level. However, a high involvement of teachers in TT is related positively to their being perceived as trustworthy. Furthermore, the emergence of trust relations in teacher networks depends on general network characteristics, such as homophily, reciprocity and transitivity.

EXPRESSION OF SOCIAL DIMENSION: THE DISTRIBUTION OF SOCIAL NETWORKING SERVICES FACEBOOK AND INSTAGRAM IN TERNOPIL REGION

2021 ◽  
Vol 50 (1) ◽  
pp. 76-85
Author(s):  
Serhii Puhach
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Information And Communication Technologies ◽  
Mobile Communications ◽  
Penetration Rate ◽  
Local Level ◽  
Social Networking Service ◽  
Important Indicator ◽  
Social Networking Services ◽  
The Social

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.

scholarly journals Online social network size is reflected in human brain structure

2011 ◽  
Vol 279 (1732) ◽  
pp. 1327-1334 ◽  
Author(s):  
R. Kanai ◽  
B. Bahrami ◽  
R. Roylance ◽  
G. Rees
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Real World ◽  
Brain Structure ◽  
Grey Matter ◽  
Online Social Network ◽  
Network Size ◽  
Matter Density ◽  
Web Based ◽  
Social Network Size

The increasing ubiquity of web-based social networking services is a striking feature of modern human society. The degree to which individuals participate in these networks varies substantially for reasons that are unclear. Here, we show a biological basis for such variability by demonstrating that quantitative variation in the number of friends an individual declares on a web-based social networking service reliably predicted grey matter density in the right superior temporal sulcus, left middle temporal gyrus and entorhinal cortex. Such regions have been previously implicated in social perception and associative memory, respectively. We further show that variability in the size of such online friendship networks was significantly correlated with the size of more intimate real-world social groups. However, the brain regions we identified were specifically associated with online social network size, whereas the grey matter density of the amygdala was correlated both with online and real-world social network sizes. Taken together, our findings demonstrate that the size of an individual's online social network is closely linked to focal brain structure implicated in social cognition.

scholarly journals A Self-Orgnizing Model for Peer-to-Peer Systems using Trust Relations

2014 ◽  
Vol 14 (1) ◽  
pp. 5394-5397
Author(s):  
Sourabh S. Mahajan ◽  
S.K. Pathan
Keyword(s):  
Peer To Peer ◽  
Local Information ◽  
Global Information ◽  
Trust Network ◽  
Trust Relationship ◽  
The Past ◽  
Trust Relationships ◽  
Peer To Peer Systems ◽  
Information Trustworthiness

Peer-to-Peer systems enables the interactions of peers to accomplish tasks. Attacks of peers with malicious can be reduced by establishing trust relationship among peers. In this paper we presents algorithms which helps a peer to reason about trustworthiness of other peers based on interactions in the past and recommendations. Local information is used to create trust network of peers and does not need to deal with global information. Trustworthiness of peers in providing services can be describedby Service metric and recommendation metric. Parameters considered for evaluating interactions and recommendations are Recentness, Importance and Peer Satisfaction. Trust relationships helps a good peer to isolate malicious peers.

scholarly journals EVALUASI PENERIMAAN JEJARING SOSIAL GOOGLE+ PADA SISWA SEKOLAH MENENGAH ATAS DI WILAYAH JAKARTA SELATAN

2015 ◽  
Vol 10 (2) ◽  
pp. 78
Author(s):  
Abdul Mufti ◽  
Fitriana Destiawati ◽  
Tri Yani Akhirina
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Social Networking ◽  
Structural Equation ◽  
Equation Model ◽  
School Students ◽  
Use Of Technology ◽  
Analysis Technique ◽  
Networking Technologies

Based on the research in the first year high school students in Jakarta Google+ social networking technologies application is ready and accept the Google+ social networking technology but not to the use of a continuous basis. Therefore there is need for the development of the research is to use the model Unified Theory Of Acceptance And Use Of Technology (UTAUT). This study was conducted to evaluate the acceptance of the Google+ social network that has been done in the first phase of the study. Based on the results of the first phase of the research is still considered less acceptable social networking Google + as a learning medium high school students. The present study is expected to implement Google+ as a social network that can be used to accomplish more tasks. The method used for processing the data is to use the analysis technique of Structural Equation Model (SEM). The results of this study is the use of Google technology among high school students is strongly influenced by the condition of the supporting facilities for both girls and boys. If the environmental conditions and good supporting facilities, the interest of high school students to use technology Google+ will be even greater

scholarly journals The Clubhouse Phenomenon: Do We Need Another Social Network?

2021 ◽  
Author(s):  
Wadim Strielkowski
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Real Time ◽  
Group Psychotherapy ◽  
Text Messages ◽  
Online Video ◽  
Conference Call ◽  
Start Up ◽  
Further Development

Being a combination of the conference call, talkback radio, audio podcast, and an online video chat, Clubhouse is a new social networking app that gained over 10 million users and over $100 in valuation in just 8 months. Unlike other social networks, it offers a real-time streaming audio chat that does not ask users to share any unnecessary information like exchanging text messages, conducting video calls, or sharing photos. Instead, Clubhouse users can listen to real-time conversations, contribute to these conversations and create their own conversations for the others to listen and to interact with. Often nicknamed a “Silicon Valley’s hottest start-up”, Clubhouse positions itself as an “exclusive” and “alternative” social network that attracts various celebrities and people who just want to talk to each other. Launched in March 2020, amidst the COVID-19 pandemic with its social distancing and lockdowns, Clubhouse offered its users a space for the digital group psychotherapy where people could solve their problems by talking them through with strangers. However, it is unclear what is going to happen to this new social network in the post-pandemic world after all of its hype eventually evaporates. This paper discusses the possible underlying motives for the Clubhouse creation and its real purposes. Moreover, it looks at the three possible scenarios of its further development.

scholarly journals La interactividad en medios sociales: un estudio de caso / Social Media Interactivity: a Case Study

2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Joan Francesc Fondevila Gascón ◽  
Ana Beriain
Keyword(s):  
Social Media ◽  
Social Network ◽  
Empirical Study ◽  
Social Networking ◽  
Point Of View ◽  
Redes Sociales ◽  
Psychological Point ◽  
Medios Sociales ◽  
Estudio De Caso

ABSTRACTThe social networking phenomenon starts generating various investigations, but so far none has raised the relationships among users of a social network from the behavioral and psychological point of view. To this end, we have conducted an empirical study based on simulated profiles in Facebook, relevant social network due to the amount of available users and for its IPO. From imaginary profiles, we analyze the types of other Facebook users that are added, which can inspire ecommerce strategies related to digital newspapers.RESUMENEl fenómeno de las redes sociales comienza a generar investigaciones diversas, pero de momento ninguna ha planteado las relaciones entre los usuarios de una red social desde el punto de vista conductual y psicológico. A tal efecto, hemos llevado a cabo un estudio empírico a partir de una simulación de perfiles en Facebook, red social de referencia por la cantidad de usuarios disponibles y por su salida a bolsa. A partir de perfiles imaginarios, analizamos la tipología de otros usuarios de Facebook que se le agregan, lo que puede inspirar estrategias de comercio electrónico vinculadas a los periódicos digitales.

scholarly journals Power-law Distribution Aware Trust Prediction

2018 ◽  
Author(s):  
Xiao Wang ◽  
Ziwei Zhang ◽  
Jing Wang ◽  
Peng Cui ◽  
Shiqiang Yang
Keyword(s):  
Power Law ◽  
Low Rank ◽  
Superior Performance ◽  
Power Law Distribution ◽  
Trust Network ◽  
Trust Prediction ◽  
Trust Networks ◽  
The Arts ◽  
Proof Of Correctness ◽  
Closure Structure

Trust prediction, aiming to predict the trust relations between users in a social network, is a key to helping users discover the reliable information. Many trust prediction methods are proposed based on the low-rank assumption of a trust network. However, one typical property of the trust network is that the trust relations follow the power-law distribution, i.e., few users are trusted by many other users, while most tail users have few trustors. Due to these tail users, the fundamental low-rank assumption made by existing methods is seriously violated and becomes unrealistic. In this paper, we propose a simple yet effective method to address the problem of the violated low-rank assumption. Instead of discovering the low-rank component of the trust network alone, we learn a sparse component of the trust network to describe the tail users simultaneously. With both of the learned low-rank and sparse components, the trust relations in the whole network can be better captured. Moreover, the transitive closure structure of the trust relations is also integrated into our model. We then derive an effective iterative algorithm to infer the parameters of our model, along with the proof of correctness. Extensive experimental results on real-world trust networks demonstrate the superior performance of our proposed method over the state-of-the-arts.

scholarly journals Phenomenon of Nasza Klasa (Our Class) Polish Social Network Site

10.28945/3331 ◽  
2009 ◽  
Author(s):  
Andrzej Malachowski
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Statistical Data ◽  
Social Network Site ◽  
Network Site ◽  
Model Method ◽  
The World ◽  
Technological Platform ◽  
Virtual Services

The phenomenal success and popularity of a new Polish social networking portal Nasza-klasa.pl (Our Class) is discussed. Essentials information on the portal, its functions and usability features are presented, together with an overview of technological platform employed. Statistical data is provided where appropriate to illustrate the phenomenon under study. The study attempts to provide a model method for success in the e-market and inspiration for prospective entrepreneurs in the world of virtual services.

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