Follow Me Too: Determinants of Transitive Tie Formation on Twitter
Transitivity, defined as the tendency for node A to be connected to node B given that A is connected to node X and X is connected to B, has been found to be a strong predictor of tie formation in various types of social networks. As transitive ties can influence information sharing, diffusion, and a...
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2020-07-01
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Online Access: | https://doi.org/10.1177/2056305120939248 |
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doaj-d66d20e9ea424af4ae732640c79af93e2020-11-25T03:35:04ZengSAGE PublishingSocial Media + Society2056-30512020-07-01610.1177/2056305120939248Follow Me Too: Determinants of Transitive Tie Formation on TwitterParul Malik0Seungyoon Lee1California State University Channel Islands, USAPurdue University, USATransitivity, defined as the tendency for node A to be connected to node B given that A is connected to node X and X is connected to B, has been found to be a strong predictor of tie formation in various types of social networks. As transitive ties can influence information sharing, diffusion, and attitudes toward messages, understanding the motivations and mechanisms behind transitive tie formation in online social networks (OSNs) is important. Using a large longitudinal dataset from a popular OSN, Twitter, we examine the factors affecting transitivity. Results show that the strength of ties, activity like the number of tweets, and most importantly, the number of common connections are key factors affecting transitive tie formation. Theoretical implications regarding the evolution of network structure and polarization of views as well as practical suggestions for organizations aiming to accumulate followers for information sharing are discussed.https://doi.org/10.1177/2056305120939248 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Parul Malik Seungyoon Lee |
spellingShingle |
Parul Malik Seungyoon Lee Follow Me Too: Determinants of Transitive Tie Formation on Twitter Social Media + Society |
author_facet |
Parul Malik Seungyoon Lee |
author_sort |
Parul Malik |
title |
Follow Me Too: Determinants of Transitive Tie Formation on Twitter |
title_short |
Follow Me Too: Determinants of Transitive Tie Formation on Twitter |
title_full |
Follow Me Too: Determinants of Transitive Tie Formation on Twitter |
title_fullStr |
Follow Me Too: Determinants of Transitive Tie Formation on Twitter |
title_full_unstemmed |
Follow Me Too: Determinants of Transitive Tie Formation on Twitter |
title_sort |
follow me too: determinants of transitive tie formation on twitter |
publisher |
SAGE Publishing |
series |
Social Media + Society |
issn |
2056-3051 |
publishDate |
2020-07-01 |
description |
Transitivity, defined as the tendency for node A to be connected to node B given that A is connected to node X and X is connected to B, has been found to be a strong predictor of tie formation in various types of social networks. As transitive ties can influence information sharing, diffusion, and attitudes toward messages, understanding the motivations and mechanisms behind transitive tie formation in online social networks (OSNs) is important. Using a large longitudinal dataset from a popular OSN, Twitter, we examine the factors affecting transitivity. Results show that the strength of ties, activity like the number of tweets, and most importantly, the number of common connections are key factors affecting transitive tie formation. Theoretical implications regarding the evolution of network structure and polarization of views as well as practical suggestions for organizations aiming to accumulate followers for information sharing are discussed. |
url |
https://doi.org/10.1177/2056305120939248 |
work_keys_str_mv |
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