Finding influential users in social networks based on novel features & link-based analysis

2021 ◽  
Vol 40 (1) ◽  
pp. 1623-1637
Author(s):  
Shahid Iqbal ◽  
Hikmat Ullah Khan ◽  
Umar Ishfaq ◽  
Mohammed Alghobiri ◽  
Saqib Iqbal
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Information Dissemination ◽  
Online Marketing ◽  
Social Web ◽  
Analysis Model ◽  
Social Community ◽  
Effective Manner ◽  
The Social ◽  
Influential Users

The social web appears to enrich human lives by providing effective applications for online social interactions. Microblogs are one of the most important applications of the social Web. The Microbloggers who influence the social community users through their content in the form of tweets are known as the influential microbloggers. The identification of such influential microbloggers has vast applications in advertising, online marketing, corporate communication, information dissemination, etc. This paper investigates the problem of identifying influential microbloggers by proposing MIPPLA (Model to identify Influential using Productivity, Popularity and Link Analysis) model which integrates the modules of Productivity and Popularity. The Productivity module considers a micro-blogger’s activity and the Popularity module identifies a microbloggers influence in an online social community. In addition, we modify the classic PageRank by utilizing the Twitter features such as retweet, mention, and reply for ranking the influential users. The proposed approaches are evaluated using real-world social networks. The results prove that the MIPPLA model efficiently identifies and ranks the top influential users in an effective manner as compared to the existing techniques.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Information Attacks and Defenses on the Social Web

2018 ◽  
pp. 216-235
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Real World ◽  
Web Sites ◽  
Online Social Networks ◽  
Social Web ◽  
Security Measures ◽  
The Social ◽  
Attacks And Defenses ◽  
Interest In Technology

Social web sites are used daily by many millions of users. They have attracted users with very weak interest in technology, including absolute neophytes of computers in general. Common users of social web sites often have a carefree attitude in sharing information. Moreover, some system operators offer sub-par security measures, which are not adequate for the high value of the published information. For all these reasons, online social networks suffer more and more attacks by sophisticated crackers and scammers. To make things worse, the information gathered from social web sites can trigger attacks to even more sensible targets. This work reviews some typical social attacks that are conducted on social networking systems, describing real-world examples of such violations and analyzing in particular the weakness of password mechanisms. It then presents some solutions that could improve the overall security of the systems.

Use and Participation in Virtual Social Networks

2013 ◽  
pp. 1-18
Author(s):  
Margherita Pagani ◽  
Charles F. Hofacker
Keyword(s):  
Social Networks ◽  
Web 2.0 ◽  
Network Externalities ◽  
Social Web ◽  
Factors Influencing ◽  
The Social

Managers are increasingly interested in the social web, as it provides numerous opportunities for strengthening and expanding relationships with customers, but the network processes that lead to these user-based assets are poorly understood. In this paper, the authors explore factors influencing use and participation in virtual social networks. They also discuss unusual drivers and inhibitors present with virtual social networks—highlighted by the presence of positive network externalities and fears that the content will be misused. The authors offer hypotheses stemming from a model of how these factors work together, test the model with a dataset collected from two different virtual social networks, and discuss the implications of this work. The findings offer managers insights on how to nurture Web 2.0 processes.

scholarly journals Social Media Influence on Consumer Behavior: The Case of Mobile Telephony Manufacturers

2020 ◽  
Vol 12 (4) ◽  
pp. 1506 ◽  
Author(s):  
Joan-Francesc Fondevila-Gascón ◽  
Marc Polo-López ◽  
Josep Rom-Rodríguez ◽  
Pedro Mir-Bernal
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Consumer Behavior ◽  
Quantitative Research ◽  
Online Marketing ◽  
Mobile Telephony ◽  
Media Influence ◽  
Web Traffic ◽  
The Social ◽  
Significant Difference

Both broadband society and cloud journalism strengthen the use of social networks in order to achieve engagement between the brand and the end user. The various productive sectors try to optimize their online marketing strategies in networks in order to reach most of their potential audience. Such is the case of telecommunications sector, which is inherently linked with communication. With the aim of discovering social media influence on consumer behavior, in this quantitative research we analyze the use of social networks Facebook, YouTube, Twitter and Instagram by Samsung, Apple, Xiaomi and BQ as the axis of promotion of their products, increase of web traffic, improvement of the image of the company or the brand and obtaining brand notoriety. Bearing in mind that the mobile telephony sector is particularly competitive in Spain, it is concluded that the activity of mobile phone manufacturers in social media is positive, and, regarding consumer behavior, that no significant difference is detected between the average of ratings of the advertising of mobile telephony in the social networks, neither in the influence of the same by gender nor by age ranges.

A robust gender inference model for online social networks and its application to LinkedIn and Twitter

First Monday ◽  
2014 ◽  
Author(s):  
Athanasios Kokkos ◽  
Theodoros Tzouramanis
Keyword(s):  
Social Networks ◽  
Language Processing ◽  
Online Social Networks ◽  
Social Web ◽  
Inference Model ◽  
Written Text ◽  
The Social ◽  
Automated Inference ◽  
Identification Technique ◽  
Dot Com

Online social networking services have come to dominate the dot com world: Countless online communities coexist on the social Web. Some typically characteristic user attributes, such as gender, age group, sexual orientation, are not automatically part of the profile information. In some cases user attributes can even be deliberately and maliciously falsified. This paper examines automated inference of gender on online social networks by analyzing written text with a combination of natural language processing and classification techniques. Extensive experimentation on LinkedIn and Twitter has yielded accuracy of this gender identification technique of up to 98.4 percent.

The Alt-social Network of Natalie Bookchin’s Testament

2016 ◽  
Vol 18 (5) ◽  
pp. 459-477
Author(s):  
Sarah Whitcomb Laiola
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Social Web ◽  
User Interactions ◽  
Media Criticism ◽  
Direct Translation ◽  
The Social

This article addresses issues of user precarity and vulnerability in online social networks. As social media criticism by Jose van Dijck, Felix Stalder, and Geert Lovink describes, the social web is a predatory system that exploits users’ desires for connection. Although accurate, this critical description casts the social web as a zone where users are always already disempowered, so fails to imagine possibilities for users beyond this paradigm. This article examines Natalie Bookchin’s composite video series, Testament, as it mobilizes an alt-(ernative) social network of vernacular video on YouTube. In the first place, the alt-social network works as an iteration of “tactical media” to critically reimagine empowered user-to-user interactions on the social web. In the second place, it obfuscates YouTube’s data-mining functionality, so allows users to socialize online in a way that evades their direct translation into data and the exploitation of their social labor.

Social Networks and Patterns of Social Interaction among Ever-Single and Separated/Divorced Elderly Canadians

1992 ◽  
Vol 11 (1) ◽  
pp. 31-53 ◽  
Author(s):  
Laurel A. Strain ◽  
Barbara J. Payne
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Living Arrangements ◽  
General Social Survey ◽  
Social Survey ◽  
Family Networks ◽  
Education And Health ◽  
The Social ◽  
Gender Education ◽  
Statistics Canada

AbstractThis paper examines the social networks and patterns of social interactions of two relatively neglected marital status groups of elders, namely the ever-single and the separated/divorced. Drawing on data from the 1985 General Social Survey conducted by Statistics Canada, comparisons are made both between and among the 224 ever-single and 126 separated/divorced Canadians aged 65 and over. When controlling for age, gender, education and health status, ever-single individuals tend to have smaller family networks, a similar number of friends, and similar living arrangements as the separated/divorced. In-person contact with siblings is significantly associated with being ever-single while no differences emerge for contact with other relatives or with friends. Differences among the ever-single and among the separated/divorced are also assessed.

scholarly journals A Novel Approach to the Measurement of Bourdieusian Social Capital within Institutional Pages and Profiles

2022 ◽  
Vol 29 (1) ◽  
pp. 11-27
Author(s):  
Alan Keller Gomes ◽  
Kaique Matheus Rodrigues Cunha ◽  
Guilherme Augusto da Silva Ferreira
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Interactions ◽  
Online Social Networks ◽  
Mutual Recognition ◽  
Pierre Bourdieu ◽  
Sequential Patterns ◽  
Frequency Of Occurrence ◽  
Novel Approach ◽  
The Social

We present in this paper a novel approach for measuring Bourdieusian Social Capital (BSC) within  Institutional Pages and Profiles. We analyse Facebook's Institutional Pages and Twitter's Institutional Profiles. Supported by Pierre Bourdie's theory, we search for directions to identify and capture data related to sociability practices, i. e. actions performed such as Like, Comment and Share. The system of symbolic exchanges and mutual recognition treated by Pierre Bourdieu is represented and extracted automatically from these data in the form of generalized sequential patterns. In this format, the social interactions captured from each page are represented as sequences of actions. Next, we also use such data to measure the frequency of occurrence of each sequence. From such frequencies, we compute the effective mobilization capacity. Finally, the volume of BSC is computed based on the capacity of effective mobilization, the number of social interactions captured and the number of followers on each page. The results are aligned with Bourdieu's theory. The approach can be generalized to institutional pages or profiles in Online Social Networks.

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