scholarly journals Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nauman Ali Khan ◽  
Wuyang Zhou ◽  
Mudassar Ali Khan ◽  
Ahmad Almogren ◽  
Ikram Ud Din
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Research Direction ◽  
Social Actors ◽  
The Social ◽  
Depth Analysis ◽  
Location Based Social Network ◽  
Triadic Closure ◽  
Location Based Social Networks ◽  
The Given

Social Internet of Things (SIoT) is a variation of social networks that adopt the property of peer-to-peer networks, in which connections between the things and social actors are automatically established. SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks’ formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors’ communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.

scholarly journals Location prediction in location-based social networks

2017 ◽  
Vol 7 (3) ◽  
pp. 149-156
Author(s):  
Mucahit Baydar ◽  
Songul Albayrak
Keyword(s):  
Social Networks ◽  
Wireless Networks ◽  
Social Network ◽  
Mobile Devices ◽  
New Method ◽  
Time Range ◽  
Location Prediction ◽  
The Social ◽  
Location Based Social Network ◽  
Location Based Social Networks

AbstractDevelopments in mobile devices and wireless networks have led to the increasing popularity of location-based social networks. These networks allow users to explore new places, share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks. This paper studies the problem of predicting the next check-in of users of location-based social networks. For an accurate prediction, we first analyse the datasets that are obtained from the social networks, Foursquare and Gowalla. Then we obtain some features like place popularity, place popular time range, place distance to user’s home, user’s past visits, category preferences and friendships ,which are used for prediction and deeper understanding of the user behaviours. We use each feature individually, and then in combination, using the new method. Finally, we compare the acquired results and observe the improvement with the new method.Keywords: Location prediction, location-based social network, check-in data.

Data Mining Location-Based Social Networks for Geospatial Discovery

2013 ◽  
pp. 2006-2019 ◽  
Author(s):  
Edward Pultar
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Geographical Location ◽  
Geographic Information ◽  
Space Time ◽  
Specific Location ◽  
Local Residents ◽  
Location Based Social Network ◽  
Location Based Social Networks

Modern, Internet-based social networks contain a wealth of information about each member. An integral part of an individual’s online profile is their Volunteered Geographic Information (VGI) such as a user’s current geographical location. Social network members in different cities, countries, or continents engage in different activities due to accessibility, economy, culture, or other factors. The work here focuses on data mining separate groups of social network profiles according to their geography in order to discover information about a place. This results in keywords associated with a specific location and provides an automated way to describe a place in an up to date fashion based upon its current local residents. Location-Based Social Network (LBSN) profiles from four different places are analyzed here and the results are presented as they relate to space, time, and activities.

scholarly journals Social Ties and Network Structure

Management ◽  
2019 ◽  
Author(s):  
Sana Ansari ◽  
Dalhia Mani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relations ◽  
Network Structure ◽  
Social Ties ◽  
Theory And Practice ◽  
Collaboration Network ◽  
Management Journal ◽  
Social Actors ◽  
The Social

The field of social networks focuses on the relationships among social actors, and on patterns that emerge from the structure of the social network and its implications (Wasserman and Faust’s Social Network Analysis: Methods and Applications). Social network research argues that actors (e.g., individuals or firms) are embedded within a network of relations, and that their behavior and choices cannot be studied independent of the social relations that shape and structure behavior. Social network perspective views relations among the social actors as ties and regular patterns in relationship as structure. Ties are the relational linkages that allow flow of resources between the actors, both tangible and intangible. Multiple actors form a web of relational ties, which can be either economic, social, or political. Networks can be of different types based on the content of the relational tie between the actors. For instance, collaboration ties between actors make a collaboration network or a co-author relation between actors makes a co-authorship network. Networks can also be at different levels of analysis—for instance, an intraorganizational friendship network is at the level of individuals while a network of intercountry trade relations is at the level of country. Ties between actors can be of different strengths (for instance, friends who meet daily versus once a year) and can also be negative or positive ties (e.g., competition networks versus collaboration networks). This article summarizes the latest research on social ties and network structure by focusing on the main thematic discussions in the field: (1) networks and strategic, governance behavior; (2) workplace networks; (3) collaboration and knowledge networks; (4) networks, personality, and individual differences; (5) entrepreneurial and family business networks; and (6) networks and social media. To ensure a comprehensive review of the topic, the article used search keywords, “networks,” or “network structure,” or “social networks,” or “social ties,” and was limited to articles in the top fourteen management journals, namely: Academy of Management Journal, Strategic Management Journal, Organization Science, Management Science, American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Academy of Management Review, Journal of Management Studies, Journal of Business Venturing, and Entrepreneurship Theory and Practice. The search was further limited to the six-year period from 2014–2019, since previous articles on organizational networks and brokerage in Oxford Bibliographies have summarized the research in this domain prior to 2014.

scholarly journals Privacy Factors of Social Network That Effect Users Trust And Confidentiality

2014 ◽  
Vol 8 (3) ◽  
pp. 1411-1413
Author(s):  
Nader Yahya Alkeinay ◽  
Norita Md Norwawi ◽  
Fauziah Abdul Wahid ◽  
Roesnita Ismail ◽  
Najwa Hayaati Mohd Alwi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Social Actors ◽  
The Social ◽  
The World ◽  
Privacy Issues ◽  
Different Parts

Social network is term used to refer to the social structure that is made up of a set of social actors. The social actors in this case include organizations or individuals. Social networks allow people to interact and socialize as they get to learn and know each other. Through social networking sites, people from different parts of a country or the world also get to meet and interact. However, there have been issues with regards to social network privacy for those who use the internet to use social network sites. This paper will look at some of the factors that affect trust of the users as well as the privacy issues related to social networks (Fernandez, 2009).

scholarly journals Towards Inferring Influential Facebook Users

Computers ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 62
Author(s):  
Suleiman Ali Alsaif ◽  
Adel Hidri ◽  
Minyar Sassi Hidri
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Network ◽  
Exploratory Analysis ◽  
Machine Learning Algorithms ◽  
Statistical Tools ◽  
Social Actors ◽  
Graph Modeling ◽  
The Social ◽  
Facebook Pages

Because of the complexity of the actors and the relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze the effectiveness of the network for the social actors who are there. This work presents a social network analysis approach that focused on processing Facebook pages and users who react to posts to infer influential people. In our study, we are particularly interested in studying the relationships between the posts of the page, and the reactions of fans (users) towards these posts. The topics covered include data crawling, graph modeling, and exploratory analysis using statistical tools and machine learning algorithms. We seek to detect influential people in the sense that the influence of a Facebook user lies in their ability to transmit and disseminate information. Once determined, these users have an impact on business for a specific brand. The proposed exploratory analysis has shown that the network structure and its properties have important implications for the outcome of interest.

Data Mining Location-Based Social Networks for Geospatial Discovery

2012 ◽  
pp. 204-218
Author(s):  
Edward Pultar
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Geographical Location ◽  
Geographic Information ◽  
Space Time ◽  
Specific Location ◽  
Local Residents ◽  
Location Based Social Network ◽  
Location Based Social Networks

Modern, Internet-based social networks contain a wealth of information about each member. An integral part of an individual’s online profile is their Volunteered Geographic Information (VGI) such as a user’s current geographical location. Social network members in different cities, countries, or continents engage in different activities due to accessibility, economy, culture, or other factors. The work here focuses on data mining separate groups of social network profiles according to their geography in order to discover information about a place. This results in keywords associated with a specific location and provides an automated way to describe a place in an up to date fashion based upon its current local residents. Location-Based Social Network (LBSN) profiles from four different places are analyzed here and the results are presented as they relate to space, time, and activities.

scholarly journals Social Network Analysis: Towards Complexity Problem

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 449-461
Author(s):  
Mahyuddin K.M. Nasution ◽  
Rahmad Syah ◽  
Marischa Elveny
Keyword(s):  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Models ◽  
Social Actors ◽  
The Social ◽  
Complexity Problem ◽  
Computational Procedures

Social network analysis is a advances from field of social networks. The structuring of social actors, with data models and involving intelligence abstracted in mathematics, and without analysis it will not present the function of social networks. However, graph theory inherits process and computational procedures for social network analysis, and it proves that social network analysis is mathematical and computational dependent on the degree of nodes in the graph or the degree of social actors in social networks. Of course, the process of acquiring social networks bequeathed the same complexity toward the social network analysis, where the approach has used the social network extraction and formulated its consequences in computing.

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.

The features of transnational corporations’ advertisement in social networks

2019 ◽  
pp. 89-92
Author(s):  
Daniella Mushka ◽  
Yeva Erfan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Wide Spectrum ◽  
Subsequent Development ◽  
Transnational Corporations ◽  
Target Audience ◽  
Social Media Marketing ◽  
Scientific Article ◽  
The Social ◽  
The Given

This scientific article considers all aspects, modern importance and growing role of the social media marketing and advertisement in the general spectrum of marketing activity for developed and developing brands. Investigational actuality and basic directions of application of all spectrum of instruments of social networks for the sake of advancement of product and the processes of forming perception of trade mark and forming the image of brand are analyzed by the authors of the article. The given scientific article highlights the most popular trends and patterns of goods and trademarks’ promotion in the world in the context of updating the concept of advertising on social networks. The bigger and more engaged your target audience is on social media networks (Instagram, Facebook, Twitter, YouTube etc), the easier it will be for you to achieve every other marketing or business goal. The importance of social media marketing’s assistance in attracting new potential clients and customers to the company is also considered in the given article. Besides that, the authors of the article list and analyse wide spectrum of basic trends considering promotion and advertising in 2019 among the well-known brands. In addition to this all, the list of the most successful publicity advertisement campaigns of this year and brands which were promoted with their assistance are listed and analysed. In the context of the study, it shows up that advertising campaigns play a significant role not only in reaching sales but also in generating overall customer loyalty to the brand. This makes it possible to argue that the most reputable brands should have an important social goal that will be positively accepted by society and target audience in addition to the high quality and usability of the products or services. Social networking is the easiest way to see the social response to your promotion and lead to an instant purchase. Therefore, relying on the experience of the already well-known multinational and transnational corporations, social media marketing should take a significant share of the overall promotion of the company. The connection between the brand and potential customer should be built on the emotions that accompany consumers when viewing ads and using products. This scientific article eventually declares conclusions and prognoses in relation to subsequent development of these instruments and platforms for advancement and branding of small and large enterprises in future. It states that emotional connection between person and brand is much more effective for the company than an expensive ad.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

Sign in / Sign up

Export Citation Format

Share Document