INSTITUTIONAL DIGITAL REPOSITORY

Browsing by Author "Iyengar, S.R.S."

Browsing by Author "Iyengar, S.R.S."

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  • Activity-selection behavior of users in stackexchange websites 
    Chhabra, A.; Iyengar, S.R.S. (2021-07-03)
    In this work, we examine the disparity in contribution behavior of users with respect to the activities that they choose to perform on Q&A websites. We collect the data of 156 websites of StackExchange and analyze the ...
  • A Bi-level assessment of twitter data for election prediction: Delhi assembly elections 2020 
    Singh, M.; Iyengar, S.R.S.; Saxena, A.; Kaur, R. (2022-07-21)
    Elections are the backbone of any democratic country, where voters elect the candidates as their representatives. The emergence of social networking sites has provided a platform for political parties and their candidates ...
  • Characterizing the triggering phenomenon in wikipedia 
    Chhabra, A.; Iyengar, S.R.S. (2018-12-29)
    Collaborative knowledge building achieves better results than individual knowledge building essentially due to the triggering phenomenon taking place among the users in a collaborative setting. Although the literature ...
  • Dynamics of edit war sequences in wikipedia 
    Chhabra, A.; Kaur, R.; Iyengar, S.R.S. (2021-07-03)
    In any collaborative system, cooperation and conflicts exist together. While in some cases these conflicts improve the output, they also lead to increased overhead. This requires examining the dynamics of these conflicts ...
  • Estimating degree rank in complex networks 
    Saxena, A.; Gera, R.; Iyengar, S.R.S. (2018-07-23)
    Identifying top-ranked nodes can be performed using different centrality measures, based on their characteristics and influential power. The most basic of all the ranking techniques is based on nodes degree. While finding ...
  • Evolving models for meso-scale structures 
    Saxena, A.; Iyengar, S.R.S. (2016-11-18)
    Real world complex networks are scale free and possess meso-scale properties like core-periphery and community structure. We study evolution of the core over time in real world networks. This paper proposes evolving models ...
  • A heuristic approach to estimate nodes’ closeness rank using the properties of real world networks 
    Saxena, A.; Gera, R.; Iyengar, S.R.S. (2019-01-02)
    Centrality measures capture the intuitive notion of the importance of a node in a network. Importance of a node can be a very subjective term and is defined based on the context and the application. Closeness centrality ...
  • KDAP: an open source toolkit to accelerate knowledge building research 
    Verma, A. A.; Setia, S.; Iyengar, S.R.S.; Dubey, N. (2021-07-03)
    With the success of crowdsourced portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. Even though ...
  • Modeling memetics using edge diversity 
    Gupta, Y.; Saxena, A.; Das, D.; Iyengar, S.R.S. (2022-09-19)
    The study of meme propagation and the prediction ofmeme trajectory are emerging areas of interest in the field of complex networks research. In addition to the properties of the meme itself, the structural properties of ...
  • Morality-based assertion and homophily on social media: A cultural comparison between english and japanese languages 
    Singh, M.; Kaur, R.; Matsuo, A.; Iyengar, S.R.S.; Sasahara, K. (2022-08-18)
    Moral psychology is a domain that deals with moral identity, appraisals and emotions. Previous work has primarily focused on moral development and the associated role of culture. Knowing that language is an inherent element ...
  • An open source library to parse and analyze online collaborative knowledge-building portals 
    Verma, A.A.; Iyengar, S.R.S.; Setia, S.; Dubey, N. (2022-08-16)
    With the success of collaborative knowledge-building portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. ...
  • Presence of an ecosystem: a catalyst in the knowledge building process in crowdsourced annotation environments 
    Chhabra, A.; Iyengar, S.R.S.; Saini, P.; Bhat, R.S. (2016-11-18)
    The phenomenal success of certain crowdsourced online platforms, such as Wikipedia, is accredited to their ability to tap the crowd’s potential to collaboratively build knowledge. While it is well known that the crowd’s ...
  • Pseudo-cores: The terminus of an intelligent viral Meme’s trajectory 
    Gupta, Y.; Das, D.; Iyengar, S.R.S. (2022-12-23)
    Most memes die soon after they have been released, but only few go viral and spread worldwide. Identifying the secret recipe for the success of such viral memes is a very interesting ongoing research question. While many ...
  • QWiki: a collaborative space to mine feedback for MOOCs 
    Setia, S.; Iyengar, S.R.S.; Agarwal, A. (2021-07-03)
    In a classroom environment, “understood?” is the most common feedback question asked by a teacher for the evaluation of his/her teaching. But, in a virtual environment like MOOCs, no such feedback mechanism can be ...
  • QWiki: need for QnA & wiki to Co-exist 
    Setia, S.; Iyengar, S.R.S.; Verma, A. A. (2021-07-03)
    Access to knowledge has never been as easy and quick as it has been in the 21st century. With the advent of the Internet and crowdsourced knowledge building portals such as Wikipedia, Stack Exchange, Quora, and GitHub, ...
  • Routing multiple services in Optical Transport Network environment using mixed line rates 
    Singh, M.; Singh, M.L.; Iyengar, S.R.S. (2016-11-23)
    International Telecommunication Union (ITU-T) has laid down broad principles for the convergence of packet and optical platforms through a series of Optical Transport Network (OTN) protocols. Convergence of multiple ...
  • Understanding spreading patterns on social networks based on network topology 
    Saxena, A.; Iyengar, S.R.S.; Gupta, Y. (2016-11-18)
    Ever since the introduction of the first epidemic model, scientists have tried extrapolating the damage caused by a contagious disease, given its spreading pattern in the premature stage. However, understanding epidemiology ...
  • Who writes wikipedia?: an investigation from the perspective of ortega and newton hypotheses 
    Chhabra, A.; Iyengar, S.R.S. (2021-07-03)
    In any collaborative system, people do not contribute equally. This is particularly observed to be true for systems seeking to gather contributions from a large, diverse group of people. In such settings, it is seen ...
  • WikiGaze: Gaze-based personalized summarization of wikipedia reading session 
    Dubey, N.; Setia, S.; Verma, A. A.; Iyengar, S.R.S. (2021-07-02)
    Wikipedia is an open-content encyclopedia that receives billions of page views per month. It has been observed that in a single reading session, Wikipedia users visit multiple articles. To reduce the problems of overload ...
  • WiTPy: a toolkit to parse and analyse wikipedia talk pages 
    Verma, A. A.; Iyengar, S.R.S.; Gandhi, N. (2021-06-22)
    In this article, we propose an opensource toolkit to extract, parse, and analyze the Wikipedia talk pages. The core parser uses a tree-based approach to parse the unstructured comments and a JSON(JavaScript Object ...