Situation analysis of relationship in social networks based on link entropy

2015 ◽  
Vol 29 (13) ◽  
pp. 1550061 ◽  
Author(s):  
Ke Li ◽  
Hui-Jia Li ◽  
Hao Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Analysis Model ◽  
Situation Analysis ◽  
The Social ◽  
Theoretical View ◽  
Different Types ◽  
The Relationship ◽  
Pair Analysis ◽  
Network Relationship

Since the existence of certain and uncertain characteristics of the relationships between nodes in social network, the study of social features is expanded by combining the set pair analysis and social computing. In this paper, a new method is created to describe nodes relationship situation in social network, i.e. set pair relationship situation, including generalized set pair relationship situation, generalized set pair close situation and generalized set pair loosen situation. In order to analyze the situation in social network, each kind of set pair relation situation are classified. Combining with the complexity of the social network system and the features of connection entropy, generalized connection entropy which used to express the complexity of social networks is proposed. It includes the generalized same entropy, the generalized difference entropy, and the generalized opposite entropy. These different types of entropies can be used to analyze the social network relationship stability from a more theoretical view. Then a situation analysis model and the corresponding algorithm is proposed. Finally the effectiveness of this method in analyzing the relationships in social networks is proved. Thus, our model can be used to reveal the relationship between social network and node state stability efficiently.

Set Pair Social Network Analysis Model

2011 ◽  
Vol 50-51 ◽  
pp. 63-67 ◽  
Author(s):  
Hong Mei Yang ◽  
Chun Ying Zhang ◽  
Rui Tao Liang ◽  
Fang Tian
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Dynamic Problems ◽  
Analysis Model ◽  
Network Information ◽  
The Social ◽  
The Relationship

Through the study on social network information, this paper explore that there exists the certain and uncertain phenomena in the process of finding the relationship between individuals by using social networks, and the social networks are constantly changing. In light of there are some uncertainty and dynamic problems for the network, this paper put forward the set pair social network analysis model and set pair social network analysis model and its properties.

scholarly journals Ego-Centric Social Network Analysis in Marketing of Fish From Cage Culture System In Simalungun District, Indonesia

2019 ◽  
Vol 8 (4) ◽  
pp. 105-113
Author(s):  
Feriel Amelia Sembiring ◽  
Fikarwin Zuska ◽  
Bengkel Ginting ◽  
Rizabuana Ismail ◽  
Henry Sitorus
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Culture System ◽  
Qualitative Approach ◽  
Mutual Trust ◽  
Cage Culture ◽  
The Social ◽  
The Village ◽  
The Relationship

Aquaculture of Cage Culture is one of the main activities carried out by the community in the village of Haranggaol to fulfill their economic needs. This cultivation business establishes a relationship between traders and cages in terms of marketing their crops. There are 3 egocentric actors in the Haranggaol area. They are collectors (entrepreneurs/farmers who own capital), namely the Rohakinian group, the Siharo group, and the Paimaham group. Through these three egocentric actors, a social network is formed with several alters. Based on the qualitative approach with use Ucinet software, the mapping of their social networks can be seen as follows: alter actors connected to the Rohakinian group are 12 farmers in the group and 2 farmers outside the group with a density of 0.033. There are 27 alter actors connected to the Siharo group, 21 from the group and 6 from outside the group with a density of 0.014. There are 27 alter actors connected to the Paimaham group, namely 36 farmers from their groups and 10 farmers outside the group with a density of 0.005. The social networks that occur between these actors are intertwined due to the existence of kinship relationships, family or close friends who know each other among them. The relationship between family, family or close friends built with mutual trust make this network integrated.

Influential Nodes in Social Networks

2020 ◽  
pp. 371-385
Author(s):  
Kousik Das ◽  
Rupkumar Mahapatra ◽  
Sovan Samanta ◽  
Anita Pal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Structure ◽  
The Social ◽  
Different Types ◽  
Influential Nodes

Social network is the perfect place for connecting people. The social network is a social structure formed by a set of nodes (persons, organizations, etc.) and a set of links (connection between nodes). People feel very comfortable to share news and information through a social network. This chapter measures the influential persons in different types of online and offline social networks.

Interest-oriented versus relationship-oriented social network sites in China

First Monday ◽  
2010 ◽  
Author(s):  
Weiyu Zhang ◽  
Rong Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Analysis ◽  
Collective Action ◽  
Social Ties ◽  
Social Network Sites ◽  
Design Features ◽  
The Social ◽  
Different Types ◽  
Common Interests

This paper examines interest-oriented vs. relationship-oriented social network sites in China and their different implications for collective action. By utilizing a structural analysis of the design features and a survey of members of the social networks, this paper shows that the way a social network site is designed strongly suggests the formation and maintenance of different types of social ties. The social networks formed among strangers who share common interests imply different types of collective action, compared to the social networks that aim at the replication and strengthening of off-line relationships.

scholarly journals SOCIAL MEDIA AND PROTESTS ENGAGEMENT: WHAT’S GENDER GOT TO DO WITH IT?

2020 ◽  
Vol 11 (10) ◽  
pp. 22-31
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Herd Behavior ◽  
Path Modeling ◽  
The Social ◽  
Political Protests ◽  
The Relationship ◽  
Collective Activism ◽  
Positive Effect

Social media allows people to organize themselves and take action against social injustices and policies. Used to spread information, social media has been linked to the dissemination of political protests around the world. Relying on the Theory of Planned Behavior and Herd Behavior, this studied aimed at identifying gender differences in social network protests’ participation. Making use of multivariate data analysis through Partial Least Squares Path Modeling (PLS-SEM), 318 Brazilians responded the study and the results indicate that there are differences between the relationships of the antecedents of the use of the social network between users of different genders. The differences are in the relationship between the attitude and the use of social networks to participate in protests, with a positive effect on men and negative on women. This means that men understand that participating in online protests through social networks can improve awareness of events, giving strength to the movement and helping to ease the tension of protests, while women do not. The results go beyond the studies on which they were based, including the gender multigroup analysis and presenting a new model of technology adoption with new elements, such as the herd behaviour, embracing the imitation, and the uncertainty constructs. There is also a contribution to a greater understanding of the influence of social media on collective activism or movements.

scholarly journals Social Network and Healthy Ageing among Elderly in Helping Hearts Old Age Home, Coimbatore

2019 ◽  
Vol 8 (12S) ◽  
pp. 571-576
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Participation ◽  
Meaning In Life ◽  
Well Being ◽  
The Elderly ◽  
Healthy Ageing ◽  
The Social ◽  
The Relationship

In the current times, the research cites that elderly definitely need social networks to aid in their mental and physical well being. The previous researches have indicated familyfocused, friend-focused, and restricted types as the types of social networks available. Social network include social interaction and social communication. It is the need of the hour to study about the social network of the elderly population because many of them are left with nobody and loneliness is one of the important factor not to mention about desertion by their loved ones since they are no longer productive individuals. The heterogeneity of social networks is pathway to successful and healthy ageing. Healthy ageing is about using opportunities so that they can have social participation and lead a good quality of life. Elderly need not be burdensome individuals in the society instead they can be involved in lot of activities which contribute to them ageing gracefully. The research studies state that rural elderly have more chances of social participation that they find more meaning in life which is a contributing factor for healthy ageing. The present study aims to find out the relationship between social network and healthy ageing.

scholarly journals Stopping the Cyberattack in the Early Stage: Assessing the Security Risks of Social Network Users

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Bo Feng ◽  
Qiang Li ◽  
Yuede Ji ◽  
Dong Guo ◽  
Xiangyu Meng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Risk Score ◽  
Personal Information ◽  
Social Behaviors ◽  
Social Engineering ◽  
Security Risk ◽  
Analysis Model ◽  
Detection Techniques ◽  
The Social

Online social networks have become an essential part of our daily life. While we are enjoying the benefits from the social networks, we are inevitably exposed to the security threats, especially the serious Advanced Persistent Threat (APT) attack. The attackers can launch targeted cyberattacks on a user by analyzing its personal information and social behaviors. Due to the wide variety of social engineering techniques and undetectable zero-day exploits being used by attackers, the detection techniques of intrusion are increasingly difficult. Motivated by the fact that the attackers usually penetrate the social network to either propagate malwares or collect sensitive information, we propose a method to assess the security risk of the user being attacked so that we can take defensive measures such as security education, training, and awareness before users are attacked. In this paper, we propose a novel user analysis model to find potential victims by analyzing a large number of users’ personal information and social behaviors in social networks. For each user, we extract three kinds of features, i.e., statistical features, social-graph features, and semantic features. These features will become the input of our user analysis model, and the security risk score will be calculated. The users with high security risk score will be alarmed so that the risk of being attacked can be reduced. We have implemented an effective user analysis model and evaluated it on a real-world dataset collected from a social network, namely, Sina Weibo (Weibo). The results show that our model can effectively assess the risk of users’ activities in social networks with a high area under the ROC curve of 0.9607.

Unraveling the Effects of Residence in an Ethnic Enclave on Immigrants’ Travel Mode Choices

2016 ◽  
Vol 37 (4) ◽  
pp. 425-443 ◽  
Author(s):  
Eun Jin Shin
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Ethnic Enclave ◽  
Network Effect ◽  
Ethnic Enclaves ◽  
Household Travel Survey ◽  
The Social ◽  
Household Travel ◽  
Transit Use ◽  
The Relationship

This article examines the relationship between immigrants’ residence in an ethnic enclave and use of alternative modes of transportation. Ethnic enclaves may offer stronger social networks, which may affect mode choice. Using the 2012–2013 California Household Travel Survey, I find that immigrants residing in ethnic enclaves have higher rates of household-external carpooling for nonwork trip purposes than immigrants residing outside ethnic enclaves. I find no difference in the rate of transit use, once built environment characteristics are taken into account. External carpools require arrangements between people in different households, and thus may reflect the social network effect of ethnic enclaves.

Drawing and Analyzing Project Governance Social Networks

2011 ◽  
Vol 460-461 ◽  
pp. 71-76
Author(s):  
Rong Gui Ding ◽  
Fang Liu ◽  
Tao Sun ◽  
Hua Sun
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Governance Structure ◽  
Dyadic Interaction ◽  
Strategy Selection ◽  
System Study ◽  
Project Governance ◽  
The Social ◽  
Governance Strategy ◽  
The Relationship

Dyadic interaction between a single project and an individual stakeholder has largely been the focus of research. But an increasing number of projects, in essence, are a multi-organization social network system. Study on the project governance social networks will be helpful to visualize and understand the project governance structure and governance strategy selection in specific condition. Therefore, we try to study methods to draw the social networks in project governance, discuss the configuration of the networks, and analyze the relationship between social network structures and stakeholders’ strategies.

scholarly journals An Optimized Player Taxonomy Model for Mobile MMORPGs with Millions of Users

2011 ◽  
Vol 2011 ◽  
pp. 1-9
Author(s):  
Fang You ◽  
Jianping Liu ◽  
Xinjian Guan ◽  
Jianmin Wang ◽  
Zibin Zheng ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Business Strategy ◽  
Game Design ◽  
Role Playing ◽  
Survey Method ◽  
Role Playing Games ◽  
Related Information ◽  
The Social ◽  
Different Types

Massively multiplayer online role-playing games (MMORPGs) have great potential as sites for research within the social and human-computer interaction. In the MMORPGs, a stability player taxonomy model is very important for game design. It helps to balance different types of players and improve business strategy of the game. The players in mobile MMORPGs are also connected with social networks; many studies only use the player's own attributes statistics or questionnaire survey method to predict player taxonomy, so lots of social network relations' information will be lost. In this paper, by analyzing the impacts of player's social network, commercial operating data from mobile MMORPGs is used to establish our player taxonomy model (SN model). From the model results, social network-related information in mobile MMORPGs will be considered as important factors to pose this optimized player taxonomy model. As experimental results showed, compared with another player taxonomy model (RA model), our proposed player taxonomy model can achieve good results: classification is more stable.

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