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With the advent of the Internet, large amount of digital text is generated everyday in the form of news articles, research publications, blogs, question answering forums and social media. It is important to develop techniques for extracting…

Computation and Language · Computer Science 2017-12-15 Sachin Pawar , Girish K. Palshikar , Pushpak Bhattacharyya

Ranking algorithms are pervasive in our increasingly digitized societies, with important real-world applications including recommender systems, search engines, and influencer marketing practices. From a network science perspective,…

Physics and Society · Physics 2020-06-01 Manuel S. Mariani , Linyuan Lü

The Ubiquitous nature of smartphones has significantly increased the use of social media platforms, such as Facebook, Twitter, TikTok, and LinkedIn, etc., among the public, government, and businesses. Facebook generated ~70 billion USD in…

Artificial Intelligence · Computer Science 2021-06-15 Shahid Alam , Juvariya Khan

This report gives a brief overview of the origin of social networks and their most popular manifestation in the modern era - the Online Social Networks (OSNs) or social media. It further discusses the positive and negative implications of…

Social and Information Networks · Computer Science 2021-03-25 Shreyash Arya

Information spread through social networks is ubiquitous. Influence maximiza- tion (IM) algorithms aim to identify individuals who will generate the greatest spread through the social network if provided with information, and have been…

Machine Learning · Statistics 2023-05-16 Octavio Mesner , Elizaveta Levina , Ji Zhu

PageRank is arguably the most popular ranking algorithm which is being applied in real systems ranging from information to biological and infrastructure networks. Despite its outstanding popularity and broad use in different areas of…

Physics and Society · Physics 2015-12-09 Manuel Sebastian Mariani , Matus Medo , Yi-Cheng Zhang

Social media comprises interactive applications and platforms for creating, sharing and exchange of user-generated contents. The past ten years have brought huge growth in social media, especially online social networking services, and it…

Social and Information Networks · Computer Science 2012-03-09 Sheng Yu , Subhash Kak

In previous research it has been shown that link-based web page metrics can be used to predict experts' assessment of quality. We are interested in a related question: do expert rankings of real-world entities correlate with search engine…

Digital Libraries · Computer Science 2008-10-21 Michael L. Nelson , Martin Klein , Manoranjan Magudamudi

For many companies, competitiveness in e-commerce requires a successful presence on the web. Web sites are used to establish the company's image, to promote and sell goods and to provide customer support. The success of a web site affects…

Machine Learning · Computer Science 2007-05-23 Myra Spiliopoulou , Carsten Pohle

Search engine is main access to the largest information source in this world, Internet. Now Internet is changing every aspect of our life. Information retrieval service may be its most important services. But for common user, internet…

Networking and Internet Architecture · Computer Science 2007-05-23 Wang Liang , Guo Yi-Ping , Fang Ming

As the number of online shopping websites increases day by day, so are the online advertisement strategies and promotional techniques. The number of people who uses internet keeps on increasing daily and it has become a vast marketplace to…

Computers and Society · Computer Science 2013-05-15 Senthur Balan S , Sowmyan Jegatheesan , Sakthi Ganesh M

The proliferation of media sharing and social networking websites has brought with it vast collections of site-specific user generated content. The result is a Social Networking Divide in which the concepts and structure common across…

Information Retrieval · Computer Science 2008-12-25 Avare Stewart , Ernesto Diaz-Aviles , Wolfgang Nejdl

Ensuring the early detection of important social network users is a challenging task. Some peer ranking services are now well established, such as PeerIndex, Klout, or Kred. Their function is to rank users according to their influence. This…

Social and Information Networks · Computer Science 2016-10-10 Erwan Le Merrer , Gilles Trédan

Online Social Networks (OSNs) are a cutting edge topic. Almost everybody --users, marketers, brands, companies, and researchers-- is approaching OSNs to better understand them and take advantage of their benefits. Maybe one of the key…

Social and Information Networks · Computer Science 2011-04-22 Daniel Gayo-Avello , David J. Brenes , Diego Fernández-Fernández , María E. Fernández-Menéndez , Rodrigo García-Suárez

Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word "Semantic" refers to "meaning" - a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days…

Information Retrieval · Computer Science 2015-03-17 Siddharth Gupta , Narina Thakur

Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, is an evergreen hot research topic. Its research outcomes significantly impact real-world…

Social and Information Networks · Computer Science 2025-03-28 Taotao Cai , Quan Z. Sheng , Xiangyu Song , Jian Yang , Shuang Wang , Wei Emma Zhang , Jia Wu , Philip S. Yu

Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and spread them is essential in order to develop effective…

Social and Information Networks · Computer Science 2024-10-31 Vedran Sekara , Ivan Dotu , Manuel Cebrian , Esteban Moro , Manuel Garcia-Herranz

In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. Search engines are retrieve the efficient information. We collected data on the Internet from…

Information Retrieval · Computer Science 2013-10-18 Avinash N Bhute , B. B. Meshram

Existing techniques for efficiently crawling social media sites rely on URL patterns, query logs, and human supervision. This paper describes SOUrCe, a structure-oriented unsupervised crawler that uses page structures to learn how to crawl…

Information Retrieval · Computer Science 2018-04-10 Keyang Xu , Kyle Yingkai Gao , Jamie Callan

Web search plays an integral role in software engineering (SE) to help with various tasks such as finding documentation, debugging, installation, etc. In this work, we present the first large-scale analysis of web search behavior for SE…

Software Engineering · Computer Science 2020-09-01 Nikitha Rao , Chetan Bansal , Thomas Zimmermann , Ahmed Hassan Awadallah , Nachiappan Nagappan