Browsing by Author "Aqsa Majeed"

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    Branding through political posts on twitter:
    (UMT Lahore, 2024) Aqsa Majeed
    The present study is conducted to understand the narrative constructed through digital media by the political parties. The study is qualitative and based on Daiute's (2014) theory of narrative analysis of interactive digital discourse and Fairclough's (1989) model of critical discourse analysis. The study is based on the Twitter sphere, and the political postings by PTI and PML are analyzed under the selected framework. 5, 5 posts are selected from both parties as the sample of the study posted on pre- and post-regime perspectives on April 10, 2022, in Pakistan. The study is intended to find the construction of a narrative and the core analysis of pre- and post-regime political postings used in the narrative. The study reveals that political parties use narrative and subsidized strategies to gain public favor. PMLN idealizes their past ruling time, while PTI compares progress with international scenarios. Both parties use discursive strategies to justify their actions, focusing on their positive performance and comparing their policies to those in power. Both parties construct their character as positive and close to the public, emphasizing empathy and concern for the general population. These strategies aim to gain moral support and justify their conduct in front of the public. The current study is descriptive, and it focusses on issues that are relevant to the general public right now. The study gives us the ability to comprehend the narratives of political parties, both when they are in power and when they are not. This study contributes to a better understanding of digital discourse by providing insight into its plotting, constructions, purpose of narratives, and character mapping, all of which are ways in which political parties portray themselves in front of people in specific situations.
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    Floyd-warshall algorithm based on picture fuzzy information
    (UMT, Lahore, 2022) Aqsa Majeed
    The revolution in technological aspects using information and communication technology and its involvement in almost every part of our socio-economic life span has been increased in last two decades with tremendous growth rate never seen before. Thus, the growing need of high end powerful computational model like Floyd-Warshall plays a vital role to accomplish computational node based needs in our daily life. Floyd-Warshall is the common algorithm used for finding the shortest path between any pair of nodes. These weights can be positive or negative. It works well for crisp weights, but the problem arises when weights are vague and uncertain. Let us take an example of computer networks, where network condition changes rapidly due to changes in a network situation, and the chosen path may not be suitable anymore. In computer networks or their related scenarios where only one parameter is not involved for deciding the optimal path between any pair of nodes. In this paper, we design a new variant of the Floyd-Warshall algorithm that finds an All-Pair Shortest Path (APSP) in an uncertain situation of a network. In the proposed methodology, multiple criteria and their mutual association may involve the selection of any suitable path between any two node points, and the values of these criteria may change due to an uncertain environment. We used trapezoidal picture fuzzy addition, score, and accuracy functions to find APSP. We also compute the time complexity of this algorithm and compare the proposed algorithm with the classical Floyd-Warshall algorithm and fuzzy Floyd-Warshall algorithm.