Identification of opinion leaders in social network

Khan, Nida Saddaf; Ata, Maira; Rajput, Quratulain

doi:10.1109/icict.2015.7469483

Cited by 14 publications

(4 citation statements)

References 15 publications

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“…The phenomenon of virility, whereby content spreads rapidly and unpredictably across social media platforms, has become a defining feature of contemporary political communication. Memes, hashtags, and viral videos have the potential to shape public narratives, mobilize online communities, and influence public opinion [16] [9]. Political leaders who effectively harness the power of virility can amplify their reach, energize their base, and dominate online conversations.…”

Section: Figure-4-rating World Leaders Through Samentioning

confidence: 99%

Artificial Intelligence-Powered Sentiment Analysis Tool to Assess the Popularity of Political Leaders in Informal Communities

Rakesh Kumar Yadav

2024

jes

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This study investigates the utility of Artificial Intelligence sentiment analysis tools in assessing the popularity of political leaders within informal communities. In contemporary socio-political landscapes, understanding public sentiment towards political figures is paramount for gauging societal perceptions and predicting electoral outcomes. Leveraging sentiment analysis techniques, this research delves into the nuanced expressions and sentiments prevalent in informal online communities regarding political leaders. By analyzing textual data from social media platforms, forums, and other digital sources, the study aims to discern patterns and trends indicative of public opinion dynamics. Through natural language processing and machine learning algorithms, sentiment analysis tools enable the automated extraction of sentiments, emotions, and attitudes towards political leaders, providing valuable insights into their perceived popularity and public reception. The findings contribute to our understanding of the intersection between technology, politics, and public opinion, shedding light on the evolving landscape of political discourse in digital spaces. The study underscores the significance of sentiment analysis for political analysts, policymakers, and researchers in comprehending and navigating the complexities of contemporary political environments.

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Section: Figure-4-rating World Leaders Through Samentioning

confidence: 99%

Artificial Intelligence-Powered Sentiment Analysis Tool to Assess the Popularity of Political Leaders in Informal Communities

Rakesh Kumar Yadav

2024

jes

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“…Opinion leaders are a group of people or accounts who have the power to bring about change and influence the masses with the ideas or thoughts they convey [6] The public is not only provided with single information, but they also get other information that may be equally important at the same time. For example, when someone searches for information regarding the number of positive confirmed patients in Indonesia, he does not only get information about what he is looking for.…”

Section: Communication Network As a Source Of Informationmentioning

confidence: 99%

Twitter's Role in the Formation of Public Knowledge About COVID-19

Zempi

Maryam

2022

KSS

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This article analyzed the role of Twitter in the formation of public knowledge regarding COVID-19. During the pandemic, public knowledge became essential to take concrete actions for the prevention and handling of the situation. The authors used a qualitative descriptive method to describe in general terms information related to the pandemic that they found on Twitter. The results showed that Twitter is an effective communication network to provide public information. Central accounts can be created on Twitter that can act as information centers. As such, the public not only gains more diverse knowledge but can also participate in active virtual discussions. The authors thus view Twitter as a helpful form of collaborative learning to spread awareness about COVID-19. Keywords: public knowledge, Twitter, COVID-19, communication network

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“…Centrality is a structural characteristic of individuals in the network indicating the fitness of an individual within the network. Therefore, it is a natural choice to find the most critical node (opinion leader) [16]. It can help to maximise or minimise diffusion of exhibited behaviour within the network.…”

Section: Opinion Leadersmentioning

confidence: 99%

“…Previous studies explore the issues related to current and future paths of diffusion, identification of influential nodes and impact of the removal of certain links [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Impact of Reciprocity in Information Spreading Using Epidemic Model Variants

et al. 2018

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The use of online social networks has become a standard medium of social interactions and information spreading. Due to the significant amount of data available online, social network analysis has become apropos to the researchers of diverse domains to study and analyse innovative patterns, friendships, and relationships. Message dissemination through these networks is a complex and dynamic process. Moreover, the presence of reciprocal links intensify the whole process of propagation and expand the chances of reaching to the target node. We therefore empirically investigated the relative importance of reciprocal relationships in the directed social networks affecting information spreading. Since the dynamics of the information diffusion has considerable qualitative similarities with the spread of infections, we analysed six different variants of the Susceptible-Infected (SI) epidemic spreading model to evaluate the effect of reciprocity. By analysing three different directed networks on different network metrics using these variants, we establish the dominance of reciprocal links as compared to the non-reciprocal links. This study also contributes towards a closer examination of the subtleties responsible for maintaining the network connectivity.

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Identification of opinion leaders in social network

Cited by 14 publications

References 15 publications

Artificial Intelligence-Powered Sentiment Analysis Tool to Assess the Popularity of Political Leaders in Informal Communities

Artificial Intelligence-Powered Sentiment Analysis Tool to Assess the Popularity of Political Leaders in Informal Communities

Twitter's Role in the Formation of Public Knowledge About COVID-19

Impact of Reciprocity in Information Spreading Using Epidemic Model Variants

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