2021
DOI: 10.1609/icwsm.v6i1.14300
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Social Networks Constructed by Topical Aspects of Conversations: An Explorative Study

Abstract: As the number of social networking services (SNS) and their users grow, so does the complexity of individual networks as well as the amount of information to be consumed by the users. Users of SNS exchange short and instantaneous messages interactively, which can be seen as conversations. We explore this conversational aspect of SNS and show how refined topic-based semantic social networks can be formed in order to reduce the complexity and information overload. Among other possibilities, we use the notion of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(4 citation statements)
references
References 14 publications
0
4
0
Order By: Relevance
“…The main focus of the studies has been on the structural properties of the network such as the size and degree of connection distributions (Kempe, Kleinberg, & Tardos 2003;Kempe, Kleinberg, & Tardos 2005;Kumar, Novak, &Tomkins 2006;Kwak et al 2010;Cha et al 2010;Tang et al 2009;Bakshy et al 2011) primarily to measure influence. While the main stream of the analyses has dealt with syntactic social networks that are based on the existence of explicit connections like following-follower relationships in Twitter, a new line of research has emerged beyond the analysis of the syntactic social networks, focusing on the contents flowing over syntactic networks (Weng et al 2010;Macskassy 2011;Qi, Aggarwal & Huang 2012;Jang et al 2012).…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…The main focus of the studies has been on the structural properties of the network such as the size and degree of connection distributions (Kempe, Kleinberg, & Tardos 2003;Kempe, Kleinberg, & Tardos 2005;Kumar, Novak, &Tomkins 2006;Kwak et al 2010;Cha et al 2010;Tang et al 2009;Bakshy et al 2011) primarily to measure influence. While the main stream of the analyses has dealt with syntactic social networks that are based on the existence of explicit connections like following-follower relationships in Twitter, a new line of research has emerged beyond the analysis of the syntactic social networks, focusing on the contents flowing over syntactic networks (Weng et al 2010;Macskassy 2011;Qi, Aggarwal & Huang 2012;Jang et al 2012).…”
Section: Related Workmentioning
confidence: 99%
“…We obtained a sampled user list from the conversation collection constructed by the previous work (Jang et al 2012). From the original collection consisting of 5,928 users each of which has more than 3,200 tweets in English in total and at least one conversation between Sep. 9 th , 2011 and Oct. 4 th , 2011, we selected all the conversations the sampled users were engaged in.…”
Section: Data Preparation Twitter Conversation Datasetmentioning
confidence: 99%
See 2 more Smart Citations