scholarly journals A Weight based Scheme for Improving the Accuracy of Relationship in Social Network

2019 ◽  
Vol 8 (11) ◽  
pp. 3040-3043 ◽  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Link Prediction ◽  
Performance Metrics ◽  
Prediction Algorithm ◽  
Relationship Matrix ◽  
Community Network ◽  
The Social ◽  
Relationship Value ◽  
The Relationship

The usage of social media has become unavoidable in the last decade. The social media is highly dynamic in nature and grows rapidly. The community network offers a rich expedient of various data. The detection of communities is based on the frequency in the networks which is usually represented by graphs. The vertices (nodes) are representing the social actor and the edges (links) represent the relation between those actors. The community link detection is as hard as the graph increases up to millions of vertices and edges. The accuracy of link prediction for inferring missing (erased or broken) links is very complex due to the dynamic nature of links. The links are updated from time to time and the new links are established dynamically. As the links are appeared and disappeared dynamically, the accuracy of identifying the edges of the social network graph of the user is complex in nature. Many efforts have been put up in developing link prediction algorithms in the past, but still there is a lacuna in accuracy in predicting inferred / broken links. A weight based link prediction algorithm is proposed to improve the accuracy of the link prediction on inferred / broken links in the social media. In this method, a weight based link analysis is employed to quantify the relative value between two nodes in the community network. The correlation value for relationship is also determined over a period of time using the designed relationship matrix. The relationship value between the nodes is computed by a Euclidian distance approach. The relationship value of each node is determined by the relationship equation using weight values. The proposed approach is experimented in constrained environment for 2 users’ Facebook usages over a period of a year. The accuracy of relationship is used as performance metrics. The results shown that the accuracy is improved 2.35% more than random predictor method

scholarly journals Group Relationship Mining of College Students Based on Predictive Social Network

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Huazhang Liu
Keyword(s):  
College Students ◽  
Social Networks ◽  
Social Network ◽  
Complex Network ◽  
Link Prediction ◽  
Rapid Development ◽  
Combination Method ◽  
Prediction Algorithm ◽  
The Social ◽  
Random Block

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.

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.

Pathways to political (dis-)engagement: motivations behind social media use and the role of incidental and intentional exposure modes in adolescents’ political engagement

2020 ◽  
Vol 45 (s1) ◽  
pp. 671-693 ◽  
Author(s):  
Raffael Heiss ◽  
Johannes Knoll ◽  
Jörg Matthes
Keyword(s):  
Social Media ◽  
Social Network ◽  
Information Seeking ◽  
Social Network Sites ◽  
Political Engagement ◽  
Online Engagement ◽  
The Social ◽  
Intentional Mode ◽  
The Relationship

AbstractBased on the Social Media Political Participation Model (SMPPM), this study investigates the relationship between four key motivations behind the use of Social Network Sites (SNS) and political engagement among adolescents. We collected our data in a paper-pencil survey with 15- to 20-year-old adolescents (N=294), a highly underexplored group, which is most active on social media. We theorize that adolescents’ user motivations are related to political engagement via two modes of exposure: The intentional mode, which is related to active information seeking, and the incidental mode, in which adolescents run into politics only by accident. We found that political information and self-expression motivations were positively related to political engagement via the intentional mode. By contrast, entertainment motivations were negatively related to offline, but not to online engagement via the incidental mode.

scholarly journals Searching and sharing of information in social networks during the different stages of a trip

2018 ◽  
pp. 185-212 ◽  
Author(s):  
Assumpció Huertas ◽  
Estela Marine-Roig
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Media ◽  
The Social ◽  
Use Of Social Media ◽  
The Relationship ◽  
Source Of Information ◽  
Share Information ◽  
Three Phases

There are three phases in the use of online social media by tourists: before, during and after the trip. The aim of this study is to determine what social network users use to find information before and during the trip, the type of information they search, and where they share information. The study also identifies the relationship this has with the trustworthiness social networks provide them, especially distinguishing the social networks managed by the destination organizations. Therefore, we conduct a survey of 800 tourists who are social network users. Results show that social networks are not a major source of information before or during the trip but are very important for sharing contents after the experience, and that the most searched information concerns the main attractions of the destination. Moreover, there is a relationship between the use of social media and their perceived trustworthiness. In this case, for those who use social networks managed by destinations, these give them greater confidence.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

scholarly journals Social Media Activities and Its Influence on Customer-Brand Relationship: An Empirical Study of Apparel Retailers’ Activity in India

2020 ◽  
Vol 16 (4) ◽  
pp. 602-617
Author(s):  
Sukanya Sharma ◽  
Saumya Singh ◽  
Fedric Kujur ◽  
Gairik Das
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Shopping Behavior ◽  
Social Media Marketing ◽  
The Internet ◽  
Digital Era ◽  
Brand Relationship ◽  
The Social ◽  
Marketing Activities ◽  
The Relationship

In this digital era, the internet, and Social Media (SM) has had a radical impact on the shopping behavior of “costumers” The SM provides a platform where “costumers” are exposed to the best product with the best price along with reviews and opinions about the merchandise. So, we can turn our heads and look at a brand in a way as if the brand is speaking to us. This study was an attempt to explore the Social Media Marketing Activities (SMMA) that are being used for the marketing of fashionable products like apparel and to what level the SMMA activities of brands truly strengthen the relationship with customers and motivate purchase intention. Moreover, SMMA has a robust application in developing a marketing strategy for business. It has become a significant tool that collaborates with businesses and people. It is concluded that the “costumer”-brand relationship does have a positive and statistically significant impact on consumers’ purchase intention through SM.

Sign in / Sign up

Export Citation Format

Share Document