Identifying Terrorist Index (T+) for Ranking Homogeneous Twitter Users and Groups by Employing Citation Parameters and Vulnerability Lexicon

Debnath, Soumyadeep; Das, Dipankar; Das, Bappaditya

doi:10.1007/978-3-319-71928-3_37

Cited by 7 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These topics included the strategies to combat terrorism (Aistrope, 2016), information extremism incidents (Brajawidagda et al, 2016), and the use of social media by terrorists, to expand their global influence (Weimann, 2016). Furthermore, the number of published documents improved to 84 in 2017, based on detecting and combating terrorism on social media platforms, such as Twitter (Debnath et al, 2017;Gialampoukidis et al, 2017a,b;Sraieb-Koepp, 2017). In 2018, these documents reached 103, the highest level among the 660 publications included in this study.…”

Section: International Published Documents On Social Media and Terror...mentioning

confidence: 88%

Bibliometric analysis of international publication trends on social media and terrorism by using the Scopus database

Yumitro,

Febriani,

Roziqin

et al. 2023

Front. Commun.

View full text Add to dashboard Cite

Social Media and Terrorism are often studied together and have become the focus of many authors in recent years. Therefore, this study aims to evaluate international publication trends on social media and terrorism, using the Scopus database through bibliometric analysis from 2009 to 2022. Data visualization and analysis were conducted using Microsoft Excel and VOSviewer. The results showed that the international publications trend reached a peak in 2018, with 103 publications emphasizing various topics, such as social media, terrorism, Twitter, terrorist attacks, and several issues related to terrorist activities and digital platforms. The United States was also the most common country of publication with the highest number of affiliated authors. In addition, the authors with the most published documents were Tsikrika T. and Vrochidis S., with the majority of reports prioritizing social sciences. These results are expected to contribute to the novelty of previous studies on social media and terrorism.

show abstract

Section: International Published Documents On Social Media and Terror...mentioning

confidence: 88%

Bibliometric analysis of international publication trends on social media and terrorism by using the Scopus database

Yumitro,

Febriani,

Roziqin

et al. 2023

Front. Commun.

View full text Add to dashboard Cite

show abstract

“…Previously similar recommendation model already proposed by Debnath et al [22] to recommend trending authors considering their research activities in google scholar. To measure users' activities in OSNs, Debnath et al [13] analyzed the lexicons and citation parameters for particularly Twitter network users' activities. Debnath et al In egocentric OSNs, they proposed for identification of top-k number of influencers considering only the activity behaviors [2].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Here three different textual preprocessing works on all datasets excluding 'Dataset 5' have been implemented here using 'Natural Language Toolkit (NLTK)' 13 , a natural language processing package of python for only this recommendation algorithmic process. This stages are mainly responsible for removal of all unnecessary irrelevant details to get better recommended results for content analysis.…”

Section: Secondary Preprocessing Of Datamentioning

confidence: 99%

Recommending Influenceable Targets Based on Influence Propagation Through Activity Behaviors in Online Social Media

Sarkar

2020

SSRN Journal

View full text Add to dashboard Cite

Online Social Media (OSM) is a platform through which the users present themselves to the connected world by means of messaging, posting, reacting, tagging, and sharing on different contents with also other social activities. Nowadays, it has vast impact on various aspects of industry, business and society along with on user's life. In an OSN platform, reaching the target users is one of the primary focus for most of the businesses and other organizations. Identification and recommendation of influenceable targets helps to capture the appropriate audience efficiently and effectively. In this paper, an effective model has been discussed in egocentric OSN by incorporating an efficient influence measured Recommendation System in order to generate a list of top most influenceable target users among all connected network members for any specific social network user. Firstly the list of interacted network members has been updated based on all activities. On which the interacted network members with most similar activities have been recommended based on the specific influence category with sentiment type. After that the top most influenceable network members in basis of the required amount among those updated list of interacted network members have been identified with proper ranking by analyzing the similarity and frequency of their activity contents with respect to the activity contents of the main user. Through these two continuous stages an effective list of top influenceable targets of the main user has been distinguished from the egocentric view of any social network.

show abstract

Influenceable Targets Recommendation Analyzing Social Activities in Egocentric Online Social Networks

Debnath

Sarkar

Das

2020

Recommender System With Machine Learning and Artificial Intelligence

View full text Add to dashboard Cite

Identifying Terrorist Index (T+) for Ranking Homogeneous Twitter Users and Groups by Employing Citation Parameters and Vulnerability Lexicon

Cited by 7 publications

References 2 publications

Bibliometric analysis of international publication trends on social media and terrorism by using the Scopus database

Bibliometric analysis of international publication trends on social media and terrorism by using the Scopus database

Recommending Influenceable Targets Based on Influence Propagation Through Activity Behaviors in Online Social Media

Influenceable Targets Recommendation Analyzing Social Activities in Egocentric Online Social Networks

Contact Info

Product

Resources

About