Skip to main content
Erschienen in: Social Network Analysis and Mining 1/2022

01.12.2022 | Original Article

Lifetime of tweets: a statistical analysis

verfasst von: Yashasvi Koul, Kanishk Mamgain, Ankit Gupta

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Social media has become such a large part of people’s life that even if little at a time, that influence can accommodate over time and can manipulate or even form new opinions. The authors have gathered data with which it is easily understood that the growth of Twitter, the people within its engagement range and its potential for becoming a portal of information sourcing as well as incidents have grown considerably well over the last decade and are well expected to grow into the next decade as well due to the new generation telecom technologies. This study aims to understand how much time Twitter trends remain ‘hot’ based on various parameters including but not limited to demography, the incident, time period or the people affected.The main objective is to gather data about different trending topics over different time periods and then analyze the pattern of how tweet volume due to that Twitter trend increased or decreased over a few days. This allows to demonstrate that Twitter can be a powerful tool to manipulate public opinion since this reaches a large number of users in a lot of developed countries. The influence of tweets can be seen from the fact that even a tweet done from a non-influential person’s account can garner enough attention to become worldwide phenomenon. Towards the end of the study, the authors used a visual medium to depict how various topics fared over the 5 days that tweets were scraped.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Albakour MD, Macdonald C, Ounis I (2013) Identifying local events by using microblogs as social sensors. In: OAIR. ACM, pp 173–180 Albakour MD, Macdonald C, Ounis I (2013) Identifying local events by using microblogs as social sensors. In: OAIR. ACM, pp 173–180
Zurück zum Zitat American Institute of Physics (AIP) (2014) How Twitter shapes public opinion. ScienceDaily. ScienceDaily, 11.<www.sciencedaily.com/releases/2014/03/140311123816.htm> American Institute of Physics (AIP) (2014) How Twitter shapes public opinion. ScienceDaily. ScienceDaily, 11.<www.sciencedaily.com/releases/2014/03/140311123816.htm>
Zurück zum Zitat Cha M, Haddadi H, Benevenuto F, Gummadi KP (2010) Measuring user inuence in Twitter: the million follower fallacy. In: Fourth international AAAI conference on weblogs and social media Cha M, Haddadi H, Benevenuto F, Gummadi KP (2010) Measuring user inuence in Twitter: the million follower fallacy. In: Fourth international AAAI conference on weblogs and social media
Zurück zum Zitat Cheong M, Lee V (2009) Integrating web-based intelligence retrieval and decision making from the Twitter trends knowledge base. In: Proc. CIKM 2009 co-located workshops: SWSM 2009, pp 1–8 Cheong M, Lee V (2009) Integrating web-based intelligence retrieval and decision making from the Twitter trends knowledge base. In: Proc. CIKM 2009 co-located workshops: SWSM 2009, pp 1–8
Zurück zum Zitat D’Monte, L (2009) “Swine Flu’s Tweet Tweet Causes Online Flutter”. Business Standard. Retrieved February 4, 2011. Also known as the ’SMS of the internet’, Twitter is a free social networking service D’Monte, L (2009) “Swine Flu’s Tweet Tweet Causes Online Flutter”. Business Standard. Retrieved February 4, 2011. Also known as the ’SMS of the internet’, Twitter is a free social networking service
Zurück zum Zitat Gao D, Li W, Cai X, Zhang R, Ouyang Y (2014) Sequential summarization: a full view of Twitter trending topics. IEEE/ACM Trans Audio, Speech, Language Process 22(2):293–302CrossRef Gao D, Li W, Cai X, Zhang R, Ouyang Y (2014) Sequential summarization: a full view of Twitter trending topics. IEEE/ACM Trans Audio, Speech, Language Process 22(2):293–302CrossRef
Zurück zum Zitat Gupta A, Bansal A, Mamgain K, Gupta A (2022) An exploratory analysis on the unfold of fake news during COVID-19 pandemic. In: Somani AK, Mundra A, Doss R, Bhattacharya S (eds) Smart systems: innovations in computing. smart innovation, systems and technologies, 235th edn. Springer, Singapore. https://doi.org/10.1007/978-981-16-2877-1_24CrossRef Gupta A, Bansal A, Mamgain K, Gupta A (2022) An exploratory analysis on the unfold of fake news during COVID-19 pandemic. In: Somani AK, Mundra A, Doss R, Bhattacharya S (eds) Smart systems: innovations in computing. smart innovation, systems and technologies, 235th edn. Springer, Singapore. https://​doi.​org/​10.​1007/​978-981-16-2877-1_​24CrossRef
Zurück zum Zitat Haas C, Wearden ST (2003) E-credibility: building common ground in Web environments. L1 Educ Stud Lang Lit 3:169–184CrossRef Haas C, Wearden ST (2003) E-credibility: building common ground in Web environments. L1 Educ Stud Lang Lit 3:169–184CrossRef
Zurück zum Zitat Jansen BJ, Zhang M, Sobel K, Chowdury A (2009) Twitter power: tweets as electronic word of mouth. J Am Soc Inf Sci 60(11):2169–2188CrossRef Jansen BJ, Zhang M, Sobel K, Chowdury A (2009) Twitter power: tweets as electronic word of mouth. J Am Soc Inf Sci 60(11):2169–2188CrossRef
Zurück zum Zitat Krishnamurthy B, Gill P, Arlitt M (2008) A few chirps about Twitter. In: Proc. WOSN, pp 19–24 Krishnamurthy B, Gill P, Arlitt M (2008) A few chirps about Twitter. In: Proc. WOSN, pp 19–24
Zurück zum Zitat Lee K, Palsetia D, Narayanan R, Patwary M. A, Agrawal A, Choudhary A (2011) Twitter trending topic classification. pp 251–258 Lee K, Palsetia D, Narayanan R, Patwary M. A, Agrawal A, Choudhary A (2011) Twitter trending topic classification. pp 251–258
Zurück zum Zitat Lewin K (1947) Frontiers in group dynamics: concept, method and reality in science; social equilibria and social change. Hum Relat 1:5–40CrossRef Lewin K (1947) Frontiers in group dynamics: concept, method and reality in science; social equilibria and social change. Hum Relat 1:5–40CrossRef
Zurück zum Zitat Lin C, Ouyang Z, Wang X, Li H, Huang Z (2021) Preserve integrity in realtime event summarization. ACM Trans Knowl Discov Data 15(2):29 Lin C, Ouyang Z, Wang X, Li H, Huang Z (2021) Preserve integrity in realtime event summarization. ACM Trans Knowl Discov Data 15(2):29
Zurück zum Zitat Metzger MJ, Flanagin AJ (2008) Digital media, youth, and credibilitym (pp 73–100). Cambridge, MA: The MIT Press Metzger MJ, Flanagin AJ (2008) Digital media, youth, and credibilitym (pp 73–100). Cambridge, MA: The MIT Press
Zurück zum Zitat Murthy D (2013) Twitter: social communication in the Twitter age. Polity Press, Cambridge, UK Murthy D (2013) Twitter: social communication in the Twitter age. Polity Press, Cambridge, UK
Zurück zum Zitat Romero DM, Galuba W, Asur S, Huberman BA (2011) Inuence and passivity in social media. In: 20th international world wide web conference (WWW’11) Romero DM, Galuba W, Asur S, Huberman BA (2011) Inuence and passivity in social media. In: 20th international world wide web conference (WWW’11)
Zurück zum Zitat Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web
Zurück zum Zitat Shu K, Mahudeswaran D, Wang S, Lee D, Liu H (2020) Fakenewsnet: a data repository with news content, social context and spatiotemporal information for studying fake news on social media. Big Data 8(3):171–188CrossRef Shu K, Mahudeswaran D, Wang S, Lee D, Liu H (2020) Fakenewsnet: a data repository with news content, social context and spatiotemporal information for studying fake news on social media. Big Data 8(3):171–188CrossRef
Zurück zum Zitat Yang J, Leskovec J (2011) Patterns of temporal variation in online media. In: Proceedings of the fourth ACM international conference on Web search and data mining, WSDM ’11, pp 177–186 Yang J, Leskovec J (2011) Patterns of temporal variation in online media. In: Proceedings of the fourth ACM international conference on Web search and data mining, WSDM ’11, pp 177–186
Zurück zum Zitat Zhao W, Shu B, Jiang J, Song Y, Yan H, Li X (2012) Identifying event-related bursts via social media activities. In: Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning, pp 1466–1477. Association for Computational Linguistics Zhao W, Shu B, Jiang J, Song Y, Yan H, Li X (2012) Identifying event-related bursts via social media activities. In: Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning, pp 1466–1477. Association for Computational Linguistics
Metadaten
Titel
Lifetime of tweets: a statistical analysis
verfasst von
Yashasvi Koul
Kanishk Mamgain
Ankit Gupta
Publikationsdatum
01.12.2022
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2022
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-022-00926-4

Weitere Artikel der Ausgabe 1/2022

Social Network Analysis and Mining 1/2022 Zur Ausgabe

Premium Partner