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The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter [article]

Daniel M. Romero, Jon Kleinberg
2010 arXiv   pre-print
implicit "link copying" analogous to the process of triadic closure in social networks.  ...  Here we develop a formalization and methodology for studying this type of directed closure process, and we provide evidence for its important role in the formation of links on Twitter.  ...  Link Formation in Information Networks.  ... 
arXiv:1003.2469v1 fatcat:4knwdxy3lbbw5frvgujdargjz4

Link formation analysis in microblogs

Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
Unlike a traditional social network service, a microblogging network like Twitter is a hybrid network, combining aspects of both social networks and information networks.  ...  Understanding the structure of such hybrid networks and to predict new links are important for many tasks such as friend recommendation, community detection, and network growth models.  ...  Acknowledgments This work was supported in part by a grant from the National Science Foundation under award IIS-0545875 and an equipment grant from Sun Microsystems.  ... 
doi:10.1145/2009916.2010136 dblp:conf/sigir/YinHXD11 fatcat:aywuftln6bd4dlr2zyaff7h4w4

Structural link analysis and prediction in microblogs

Dawei Yin, Liangjie Hong, Brian D. Davison
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
Unlike the information networks and traditional online social networks, the structures in a hybrid network are more complicated and informative.  ...  Unlike a traditional social network service, a microblogging network like Twitter is a hybrid network, combining aspects of both social networks and information networks.  ...  Acknowledgments This material is based in part upon work supported by the National Science Foundation under Grant Number IIS-0545875.  ... 
doi:10.1145/2063576.2063743 dblp:conf/cikm/YinHD11 fatcat:uu5f3ybkcnbopislcczkncf6ou

Network of Terror: How Daesh Uses Adaptive Social Networks to Spread its Message

Joseph Shaheen
using a number of qualitative, statistical,and numerical analysis techniques in hopes ofgaining a deeper insight into their operations andmaking recommendations for NATO and NATOmember states on how to  ...  combat them effectively.We discovered a number of important findingsthe most salient of which is on how individual leveldecisions made by many of their members have contributed to the survival of their  ...  of Adaptive Cognitive Networks An adaptive cognitive network is a network that does not rely on the physical formation and building of relations, but one that relies on the natural formation of networks  ... 
doi:10.6084/m9.figshare.14107277.v1 fatcat:ou3xiwvv5ngb3b7brasir67ar4

Bonding vs. Bridging Social Capital: A Case Study in Twitter

Matthew S. Smith, Christophe Giraud-Carrier
2010 2010 IEEE Second International Conference on Social Computing  
In this paper, we consider the widely-held view of social scientists that bonding interactions are more likely than bridging interactions in social networks, and test it within the context of the large  ...  Online communities are connecting large numbers of individuals and generating rich social network data, opening the way for empirical studies of social behavior.  ...  Eggett for his assistance with the statistical analysis, and Mikaela Dufur for valuable comments that greatly improved the quality of the paper.  ... 
doi:10.1109/socialcom.2010.62 dblp:conf/socialcom/SmithG10 fatcat:b35bjza3cnewrjchywwyyjp4hq

Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ [article]

Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012 arXiv   pre-print
Using theoretical analysis and empirical evaluations, we show that our model can accurately reproduce the social and attribute structure of real social networks.  ...  Several recent results suggest that augmenting the social network structure with user attributes (e.g., location, employer, communities of interest) can provide a more fine-grained understanding of social  ...  ACKNOWLEDGMENTS We would like to thank Mario Frank, our shepherd Ben Zhao and the anonymous reviewers for their insightful feedback.  ... 
arXiv:1209.0835v4 fatcat:urle2kqjivdrfok5qfx5rppzwm

Social Network Analysis: A Survey on Measure, Structure, Language Information Analysis, Privacy, and Applications

Shashank Sheshar Singh, Vishal Srivastava, Ajay Kumar, Shailendra Tiwari, Dilbag Singh, Heung-No Lee
2022 ACM Transactions on Asian and Low-Resource Language Information Processing  
We further provide a comparative analysis of recent developments on SNA problems in the sequel. The privacy preservation with SNA is also surveyed.  ...  The rapid growth in popularity of online social networks provides new opportunities in computer science, sociology, math, information studies, biology, business, and more.  ...  A LIST OF ABBREVIATIONS  ... 
doi:10.1145/3539732 fatcat:t4q2qkf3obcmplnzkwzvfq5ga4

Analysing Twitter semantic networks: the case of 2018 Italian elections

Tommaso Radicioni, Fabio Saracco, Elena Pavan, Tiziano Squartini
2021 Scientific Reports  
According to the Eurobarometer, the percentage of EU citizens employing online social networks on a daily basis has increased from 18% in 2010 to 48% in 2019.  ...  The entwinement between social media and the unfolding of political dynamics has motivated the interest of researchers for the analysis of users online behavior—with particular emphasis on group polarization  ...  Then, we consider as a benchmark an ensemble of networks that, on average, preserves some information of the real user-hashtag bipartite network, i.e. the total number of links (as in a bipartite Erdös-Rényi  ... 
doi:10.1038/s41598-021-92337-2 pmid:34168169 pmcid:PMC8225802 fatcat:j37ldy6o2jgktnjategxsfw3ji

Social capital in online communities

Matthew S. Smith
2008 Proceeding of the 2nd PhD workshop on Information and knowledge management - PIKM '08  
In collaboration with colleagues from Health Sciences, we wanted to test whether broadly applicable health topics were discussed on Twitter, and to design and guide the process of discovering such themes  ...  By further focusing on tobacco, we discovered several subtopics related to tobacco (e.g., tobacco use promotion, addiction recovery), which indicate that analysis of the Twitter social network may help  ...  Acknowledgments Data collection for this research was funded by a grant from the U.S. Department of Education (International Research and Studies Program, P017A080087).  ... 
doi:10.1145/1458550.1458554 dblp:conf/cikm/Smith08 fatcat:grsnirh4lveppha46jm6ciibwa

A Tutorial on Event Detection using Social Media Data Analysis: Applications, Challenges, and Open Problems [article]

Mohammadsepehr Karimiziarani
2022 arXiv   pre-print
In this paper, a survey on the potential benefits and applications of event detection with social media data analysis will be presented.  ...  In recent years, social media has become one of the most popular platforms for communication.  ...  RESEARCH DIRECTIONS, CHALLENGES, OPEN PROBLEMS, AND ADVANCES An overview of the main areas of study that should be followed for event detection with social media data analysis will be provided in this  ... 
arXiv:2207.03997v2 fatcat:nzymdx4l7veofdq33u7ugmnjfq

Analysing Twitter Semantic Networks: the case of 2018 Italian Elections [article]

Tommaso Radicioni and Fabio Saracco and Elena Pavan and Tiziano Squartini
2021 arXiv   pre-print
According to the Eurobarometer, the percentage of EU citizens employing online social networks on a daily basis has increased from 18% in 2010 to 48% in 2019.  ...  The entwinement between social media and the unfolding of political dynamics has motivated the interest of researchers for the analysis of users online behavior - with particular emphasis on group polarization  ...  T.R. is responsible for submitting on behalf of all authors of the paper.  ... 
arXiv:2009.02960v3 fatcat:zisjavx72bbg3cdmkk5c632gzm

Tracking Challenges in Online Social Environment using Deep Learning Techniques

R. Ramya, Dr. S. Kannan
2022 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Social network event prediction is much more important task in many of the applications like medical, security, etc. With fast-growing technology, People spent most of the time in Social Networks.  ...  The information shared in social network and media spreads very fast, which makes it attractive for attackers to gain information.  ...  given relationship in an Online Social Network.  ... 
doi:10.32628/cseit228121 fatcat:ch5o5mqoabez7ozraujnpvjf3i

Pós-pandemia de COVID-19, ensino híbrido e inteligência artificial: É a virtualização da escola?

Ana Carolina Carius
2021 Research, Society and Development  
A pandemia de COVID-19 é um marco na educação brasileira quando se observa o tempo em que as escolas do país estão fechadas por conta do distanciamento social, necessário para o enfrentamento à pandemia  ...  Como metodologia de pesquisa, optou-se por uma revisão da literatura incluindo os principais autores que discutem os temas em análise e a Análise de Redes Sociais (ARS) para o Twitter e o YouTube sob os  ...  Considering the quantitative and qualitative perspective of Social Network Analysis (SNA), in an exploratory way, the present research is characterized as a survey (Gil, 1999) , although there is no direct  ... 
doi:10.33448/rsd-v10i7.16834 fatcat:ck6x4ndinfgqtjz4poixxasb7q

Electoral Advertising Based on Proximity Marketing

Jessenia Garrido-Martinez, Patricio Medina-Chicaiza
2019 International Business Research  
It arises as a response to the problem detected through direct observation and structured interviews with specialists (experts in electoral marketing, politicians, publicists and ICT leaders) which evidenced  ...  In addition, theoretical methods and documentary analysis were used.  ...  of direct information), social networks (Facebook, Twitter, Instagram, YouTube, WhatsApp), spots (in electronic media from 30 seconds to 1:15 minutes), television (debates, spots), mass events (speeches  ... 
doi:10.5539/ibr.v12n9p52 fatcat:rfetre6ybrdabjxuuklo436l74

Utilizing Structural Network Positions to Diversify People Recommendations on Twitter

Ekaterina Olshannikova, Erjon Skenderi, Thomas Olsson, Sami Koivunen, Jukka Huhtamäki, Christos Troussas
2022 Advances in Human-Computer Interaction  
In addition to describing our analytical approach, we report an experiment with 39 Twitter users who evaluated 72 recommendations from each proposed network structural position altogether.  ...  The proposed strategy contributes to the design of a people recommender system, which exposes users to diverse recommendations and facilitates new social ties in online social networks.  ...  An edge connecting two nodes in the followership network represents an existing followership link between two users on the platform.  ... 
doi:10.1155/2022/6584394 fatcat:zvldz2ylzncozc4mpt5cctixum
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