Exploring the role of sentiments in identification of active and influential bloggers

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Mohammad Alghobiri ◽  
Umer Ishfaq ◽  
Hikmat Khan ◽  
Tahir Malik
Keyword(s):  
Big Data ◽  
Web Sites ◽  
High Volume ◽  
Research Problem ◽  
Online Marketing ◽  
Online Discussions ◽  
Social Web ◽  
Human Behaviors ◽  
Human Interactions ◽  
The Social

The social Web provides opportunities for the public to have social interactions and online discussions. A large number of online users using the social web sites create a high volume of data. This leads to the emergence of Big Data, which focuses on computational analysis of data to reveal patterns, and associations relating to human interactions. Such analyses have vast applications in various fields such as understanding human behaviors, studying culture influence, and promoting online marketing. The blogs are one of the social web channels that offer a way to discuss various topics. Finding the top bloggers has been a major research problem in the research domain of the social web and big data. Various models and metrics have been proposed to find important blog users in the blogosphere community. In this work, first find the sentiment of blog posts, then we find the active and influential bloggers. Then, we compute various measures to explore the correlation between the sentiment and active as well as bloggers who have impact on other bloggers in online communities. Data computed using the real world blog data reveal that the sentiment is an important factor and should be considered as a feature for finding top bloggers. Sentiment analysis helps to understand how it affects human behaviors.

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.

Social Semantic Web and Semantic Web Services

2011 ◽  
pp. 22-40
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

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.

Mining Geospatial Knowledge on the Social Web

2013 ◽  
pp. 98-112
Author(s):  
Suradej Intagorn ◽  
Kristina Lerman
Keyword(s):  
Real World ◽  
Web Sites ◽  
Information Integration ◽  
Knowledge Bases ◽  
Google Earth ◽  
Social Web ◽  
Information Discovery ◽  
Real World Data ◽  
Geospatial Information ◽  
The Social

Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Twitter, and Google Earth. User-generated data and metadata can be used to harvest knowledge, including geospatial knowledge that will help solve real-world problems including information discovery, geospatial information integration and data management. This paper proposes a method for acquiring geospatial knowledge in the form of places and relations between them from the user-generated data and metadata on the Social Web. The key to acquiring geospatial knowledge from social metadata is the ability to accurately represent places. The authors describe a simple, efficient algorithm for finding a non-convex boundary of a region from a sample of points from that region. Used within a procedure that learns part-of relations between places from real-world data extracted from the social photo-sharing site Flickr, the proposed algorithm leads to more precise relations than the earlier method and helps uncover knowledge not contained in expert-curated geospatial knowledge bases.

Social Semantic Web and Semantic Web Services

2010 ◽  
pp. 207-225
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

scholarly journals From Big Data to Knowledge in the Social Sciences

2015 ◽  
Vol 659 (1) ◽  
pp. 16-32 ◽  
Author(s):  
Bradford W. Hesse ◽  
Richard P. Moser ◽  
William T. Riley
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Open Data ◽  
High Volume ◽  
National Institutes Of Health ◽  
Scientific Enterprise ◽  
Data Intensive ◽  
Scientific Disciplines ◽  
The Social ◽  
Systemic Problems

One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the Big Data to Knowledge or BD2K initiative. The concept of translating “big data to knowledge” is important to the social and behavioral sciences in several respects. First, a general shift to data-intensive science will exert an influence on all scientific disciplines, but particularly on the behavioral and social sciences given the wealth of behavior and related constructs captured by big data sources. Second, science is itself a social enterprise; by applying principles from the social sciences to the conduct of research, it should be possible to ameliorate some of the systemic problems that plague the scientific enterprise in the age of big data. We explore the feasibility of recalibrating the basic mechanisms of the scientific enterprise so that they are more transparent and cumulative; more integrative and cohesive; and more rapid, relevant, and responsive.

Social Semantic Web and Semantic Web Services

2010 ◽  
pp. 350-368
Author(s):  
Stelios Sfakianakis
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Primary Data ◽  
Social Web ◽  
Emerging Trends ◽  
The Social ◽  
Data Source ◽  
Social Semantic Web

In this chapter the authors aim to portray the social aspects of the World Wide Web and the current and emerging trends in “Social Web”. The Social Web (or Web 2.0) is the term that is used frequently to characterize Web sites that feature user provided content as their primary data source and leverage the creation of online communities based on shared interests or other socially driven criteria. The need for adding more meaning and semantics to these social Web sites has been identified and to this end the Semantic Web initiative is described and its methodologies, standards, and architecture are examined in the context of the “Semantic Social Web”. Finally the embellishment of Web Services with semantic annotations and semantic discovery functionality is described and the relevant technologies are explored.

Mining Geospatial Knowledge on the Social Web

2011 ◽  
Vol 3 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Suradej Intagorn ◽  
Kristina Lerman
Keyword(s):  
Real World ◽  
Web Sites ◽  
Information Integration ◽  
Knowledge Bases ◽  
Google Earth ◽  
Social Web ◽  
Information Discovery ◽  
Real World Data ◽  
Geospatial Information ◽  
The Social

Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Twitter, and Google Earth. User-generated data and metadata can be used to harvest knowledge, including geospatial knowledge that will help solve real-world problems including information discovery, geospatial information integration and data management. This paper proposes a method for acquiring geospatial knowledge in the form of places and relations between them from the user-generated data and metadata on the Social Web. The key to acquiring geospatial knowledge from social metadata is the ability to accurately represent places. The authors describe a simple, efficient algorithm for finding a non-convex boundary of a region from a sample of points from that region. Used within a procedure that learns part-of relations between places from real-world data extracted from the social photo-sharing site Flickr, the proposed algorithm leads to more precise relations than the earlier method and helps uncover knowledge not contained in expert-curated geospatial knowledge bases.

scholarly journals Application Of Social Web Tools To The Internationalization Of Retail Companies

2011 ◽  
Vol 6 (7) ◽  
Author(s):  
Alejandro Molla-Descals ◽  
Miguel-Angel Gomez-Borja ◽  
Carlota Lorenzo-Romero ◽  
Juan-Antonio Mondejar-Jimenez
Keyword(s):  
Social Networks ◽  
Web Sites ◽  
Social Web ◽  
Internationalization Process ◽  
Market Knowledge ◽  
Global Context ◽  
Web Tools ◽  
Retail Business ◽  
Starting Point ◽  
The Social

The emergence and development of what is called the Social Web or Web 2.0 is marked by the appearance and development of new communication tools and applications such as blogs, chats, forums, social networks, etc., and interaction between users. As well as giving consumers emotional and practical benefits, these applications represent great communication opportunities for companies in a globalized context. For this reason, businessmen are increasingly using Social Web tools as instruments to get information and market knowledge, as well as for communication in an internationalization context. Taking the opportunities the use of Social Web tools in a global context represent for retail business as its starting point, this study analyzes the possibilities offered by different tools in the context of the internationalization process of retail distribution businesses, and the uses retailers involved in internationalization processes are currently putting them to. In order to do this, a study is being made by direct observation of the applications and social contents on their web sites, and exploration and monitoring of their presence in other social spaces (blogs, social networks, microblogging, etc.).

Social Responsibility Practice Diagnosis applied to the Universidad del Valle- Northern Facility. Period 2014-2015

2018 ◽  
Vol 34 (62) ◽  
pp. 66-81
Author(s):  
Adriana M. Moreno Moreno ◽  
Eduar Fernando Aguirre González
Keyword(s):  
Social Responsibility ◽  
Action Plan ◽  
Research Problem ◽  
Socially Responsible ◽  
Strategic Development ◽  
Strategic Issues ◽  
The North ◽  
The Social ◽  
The University ◽  
Social Management

Social Responsibility is a concept that has been approached from different perspectives by theoreticians and institutions. Initially, this was limited exclusively to companies, however, the creation of the Social Capital, Ethics and Development Initiative by the Inter-American Development Bank (IDB) sought to make educational institutions aware that, like any other organization, they are responsible for the externalities they generate in their environment and their stakeholders. This research approaches the concept of University Social Responsibility (USR) from the scheme proposed by the IDB, which proposes four axes of action for Universities’ CR: Responsible Campus, Professional and Citizen Training, Social Management of Knowledge and Social Participation. The Universidad del Valle has a strategic plan entitled “Universidad del Valle’s Strategic Development Plan” and Regionalization attached thereto. It has also developed its action plan and in the five strategic issues raised herein, its socially responsible approach is clearly identifiable. The North Cauca Facility wherein this study is being developed, even though it does not have a University Social Responsibility Management Model, has attempted to align its practices with its strategic affairs that broadly conform to the four axes proposed by the IDB. This research addresses a relevant and current issue inasmuch as it proposes to develop a diagnosis on the relationship between the four axes of Social Responsibility proposed by the IDB and the practice of Social Responsibility applied at the Universidad del Valle, North Cauca Facility, for the period 2014-2015. In order to answer the research problem, a qualitative, exploratory and descriptive type of study is used, given that the work was based on the documentary information available at the University, while the interviews with the directors of the Institution are used as a tool for oral history. The research method used is the case study, which allows to address a unit of analysis in depth, in this case the USR within the Universidad del Valle, North Cauca Facility.

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