Social Network Analysis and Mining
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Link prediction using betweenness centrality and graph neural networks
Social Network Analysis and Mining - Tập 13 Số 1 - Trang 1-13 - 2023
Social networks are widely considered as the most important tool to connect people. The last century saw a massive increase in the number of links between users. Many nodes and/or edges are included or removed repeatedly as time passes. In order to understand the patterns of relations among people or organizations, social network analysis (SNA) sheds light on users and links dynamics. Link predict......
Applying modality and equivalence concepts to pattern finding in social process-produced data
Social Network Analysis and Mining - Tập 1 - Trang 59-72 - 2010
Large amounts of detailed transactional information are generated by ongoing social processes. For managing and mining such data, we treat them as “objects” and “relations”. These ideas strongly parallel the way that social network analysts conceive of social structure. Modality (roughly, distinguishing multiple classes of social actors or nodes in networks) and equivalence classes (roughly, disti......
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections
Social Network Analysis and Mining - - 2020
Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density
Social Network Analysis and Mining - Tập 8 - Trang 1-6 - 2018
Graph theoretic properties such as the clustering coefficient, characteristic (or average) path length, global and local efficiency provide valuable information regarding the structure of a graph. These four properties have applications to biological and social networks and have dominated much of the literature in these fields. While much work has done in applied settings, there has yet to be a ma......
Ridge count thresholding to uncover coordinated networks during onset of the Covid-19 pandemic
Social Network Analysis and Mining - Tập 12 - Trang 1-25 - 2022
In order to combat information operations (IO) and disinformation campaigns, one must look at the behaviors of the accounts pushing specific narratives and stories through social media, not at the content itself. In this work, we present a new process for extracting tweet storms and uncovering networks of accounts that are working in a coordinated fashion using ridge count thresholding (RCT). To d......
Conceptualizing the use of the term financial risk by non-academics and academics using twitter messages and ScienceDirect paper abstracts
Social Network Analysis and Mining - Tập 11 - Trang 1-14 - 2021
A text mining technique, based on an Application Programming Interface (API) request—using narrative data from Twitter™ and ScienceDirect™—was used to identify how non-academics and academics conceptualize and evaluate sentiment indicators associated with the term financial risk in their communications. It was determined that unlike the day-to-day uses of the term—all of which tend to focus predom......
A trust-based collaborative access control model with policy aggregation for online social networks
Social Network Analysis and Mining - Tập 7 - Trang 1-13 - 2017
Online social network (OSN) has become one of the primary means of interaction and digital information sharing among individuals. Preserving information privacy is indispensable in such applications as the shared information would be sensitive. The issue becomes more challenging due to participation of multiple parties on the same shared data. We propose an effective trust-based access control tec......
Identifying buzz in social media: a hybrid approach using artificial bee colony and k-nearest neighbors for outlier detection
Social Network Analysis and Mining - Tập 7 - Trang 1-10 - 2017
The exponential growth in the use of social media has not only impacted the way individuals communicate and interact but has also opened new avenues for various domains including health care, marketing, e-commerce, e-governance and politics to name a few. It has been further seen that such engagements result in huge amount of user-generated content (UGC) from both individuals and organizations com......
Leveraging the network information for evaluating answer quality in a collaborative question answering portal
Social Network Analysis and Mining - - 2012
Information dissemination modeling based on rumor propagation in online social networks with fuzzy logic
Social Network Analysis and Mining - Tập 12 Số 1 - Trang 1-18 - 2022
Rumor is an important form of social interaction. Therefore, spreading harmful rumors can have a negative impact on the health of the society. People's communication in the society plays an important role in spreading rumors, and whether or not it is spread depends on the person's level of trust in the rumor. Thus, one of the most important factors in a person's trust (or distrust) of a rumor is t......
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