Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Gupta, Y.Has files: No

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    Shifting behaviour of users: Towards understanding the fundamental law of Social Networks
    (Institute of Electrical and Electronics Engineers Inc., 2016) Gupta, Y.; Saini, J.S.; Sridhar, N.; Iyengar, S.R.S.
    Social Networking Sites (SNSs) are powerful marketing and communication tools. There are hundreds of SNSs that have entered and exited the market over time. The coexistence of multiple SNSs is a rarely observed phenomenon. Most coexisting SNSs either serve different purposes for its users or have cultural differences among them. The introduction of a new SNS with a better set of features can lead to the demise of an existing SNS, as observed in the transition from Orkut to Facebook. The paper proposes a model for analyzing the transition of users from one SNS to another, when a new SNS is introduced in the system. The game theoretic model proposed considers two major factors in determining the success of a new SNS. The first being time that an old SNS gets to stabilise. We study whether the time that a SNS like Facebook received to monopolize its reach had a distinguishable effect. The second factor is the set of features showcased by the new SNS. The results of the model are also experimentally verified with data collected by means of a survey. © 2016 IEEE.
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    Exploring Depression Symptoms through Similarity Methods in Social Media Posts
    (CEUR-WS, 2023) Recharla, N.; Bolimera, P.; Gupta, Y.; Anand Kumar, M.
    Regardless of age, gender, or color, depression affects people all over the world. People feel increasingly at ease sharing their opinions on social networking sites practically every day in the present era of communication and technology. Reddit is a social networking site consisting of subreddits, or single-topic communities, created, maintained, and frequented by anonymous users. Users have the ability to post, comment on, and reply to posts within subreddits. Data for this suggested model is gathered from user posts on Reddit. Our approach involves ranking sentences from a collection of Reddit posts according to their relevance to a depression symptom for the 21 symptoms of depression from the BDI-II Questionnaire. © 2023 Copyright for this paper by its authors.
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    Depression Severity Detection from Social Media Posts
    (Springer Science and Business Media Deutschland GmbH, 2024) Recharla, N.; Bolimera, P.; Gupta, Y.; Anand Kumar, M.A.
    Regardless of age, gender, or color, mental health problems affect people all over the world. People feel increasingly at ease sharing their opinions on social networking sites (SNS) practically every day in the present era of communication and technology. Reddit is a social networking site that consists of subreddits, or single-topic communities, that are created, maintained, and frequented by anonymous users. The dataset used in the paper is, eRisk2021 dataset provided for task 3, which is used for depression severity measurement. It consists posts of Reddit users. In this paper, the approach involves finding user depression severity based on their Reddit history with the help of the BDI-II questionnaire, which is discussed. The paper provides three different approaches in finding the users depression severity from their social media data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.