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Community Detection in Social Network using Temporal Data [article]

Victor Stany Rozario, A.Z.M. Ehtesham Chowdhury, Muhammad Sarwar Jahan Morshed
2019 arXiv   pre-print
Social networks facilitate the social space where actors or the users have ties among them. The ties and their patterns are based on their life styles and communication.  ...  Similarly, in online social media networks like Facebook, Twitter, Myspace etc., multiple users belong to multiple specific communities.  ...  Overlapping communities can be depicted as overlapping clusters [5] on complex social network. The detection of the clusters based on the betweenness are the centrality measure [6] .  ... 
arXiv:1904.05291v1 fatcat:fpru3vcacjfxxgvc2uxsaltpva

An Improved PSO Algorithm Based CommunityTopic Refinement Strategy for Social Network

Lin Cui, Caiyin Wang, Xiaoyin Wu
2016 International Journal of Future Generation Communication and Networking  
In this paper, first of all, the explicit links existing in the community are mined, and the basic community structure is constructed, then the community content is deeply analyzed, according to implicit  ...  Aiming at the division roughness of topic classification existing in the most online social networks community, the improved particle swarm optimization algorithm is applied to refine community topics  ...  , prediction and recommendation accuracy rate are very low, and this method cannot analyze the changes in the influence of individual effect on the social network and network evolution.  ... 
doi:10.14257/ijfgcn.2016.9.1.04 fatcat:ltb4aoyofnbrtdshhjn4san57u

Identifying Modular Flows on Multilayer Networks Reveals Highly Overlapping Organization in Interconnected Systems

Manlio De Domenico, Andrea Lancichinetti, Alex Arenas, Martin Rosvall
2015 Physical Review X  
Unveiling the community structure of networks is a powerful methodology to comprehend interconnected systems across the social and natural sciences.  ...  For example, flow-based methods have proven useful for identifying modular dynamics in weighted and directed networks that capture constraints on flow in the systems they represent.  ...  We focused our search on the 13 categories listed in Table S2, defining the layers of the multilayer co-authorship network, and we collected all papers containing the word "network" either in the title  ... 
doi:10.1103/physrevx.5.011027 fatcat:vzktiqjt4jhc7c5psqrpxitlgq

When Social Networks Meet D2D Communications: A Survey

Michele Nitti, George Stelea, Vlad Popescu, Mauro Fadda
2019 Sensors  
Upon an initial analysis, we perform an in-deep literature investigation of the main directions in which social ties can improve D2D communication, draw conclusions and identify the research topics left  ...  Most of these hurdles can be overcome by the use of the new Social IoT (SIoT) paradigm, of things and people involved together in the network, guided autonomously by social relationships following the  ...  This is the starting point of the work in [18] , which detects overlapping communities and designs a neighbor discovery method for the ad-hoc network approach: the solution identifies the beacon detection  ... 
doi:10.3390/s19020396 fatcat:ubishwvkdnflhncxjjecj6mnva

Sustainable Online Communities Exhibit Distinct Hierarchical Structures Across Scales of Size [article]

Yaniv Dover, Jacob Goldenberg, Daniel Shapira
2018 arXiv   pre-print
Online communities exist in many forms and sizes, and are a source of considerable influence for individuals and organizations.  ...  Moreover, in an analysis of 10,122 real-life online communities with a total of 134,747 members over a period of more than a decade, we find that mapping the community social circle structure in the first  ...  Details of the detected topical structure of the contemporary religious lifestyle community example The online communities in our dataset are based on stated discussion themes.  ... 
arXiv:1803.07387v1 fatcat:2rbv6m4w4nbcritgrlg7hwspiu

Detecting Abnormal Social Network Accounts with Hurst of Interest Distribution

Xiujuan Wang, Yi Sui, Yuanrui Tao, Qianqian Zhang, Jianhua Wei, Manjit Kaur
2021 Security and Communication Networks  
Through experiments, the Hurst indexes of normal and abnormal accounts are found to be significantly different, and the detection rate of abnormal accounts using the proposed method can reach up to 97.93%  ...  Detecting abnormal accounts on social networks in a timely manner can effectively prevent the occurrence of malicious Internet events.  ...  Kaur et al. utilized text-based continuous authentication (TB-CoAuth) for detecting compromised accounts in social networks [42] .  ... 
doi:10.1155/2021/6653430 fatcat:7cr6sdbel5gqfmlbjvct5bze5y


Saini Jacob Soman, S. Murugappan
2014 Journal of Computer Science  
Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.  ...  Social network community users are fed with irrelevant information while surfing, due to spammer's activity.  ...  To detect spams, (Webb et al., 2008) dealt with automatic collection of deceptive spam profiles in social network communities based on anonymous behavior of user by using social honey pots.  ... 
doi:10.3844/jcssp.2014.2135.2140 fatcat:56u4f2hs75gdbl2w5yjyoagfym

A Study of Spam Detection Algorithm on Social Media Networks [chapter]

Jacob Soman Saini
2013 Advances in Intelligent Systems and Computing  
Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.  ...  Social network community users are fed with irrelevant information while surfing, due to spammer's activity.  ...  To detect spams, (Webb et al., 2008) dealt with automatic collection of deceptive spam profiles in social network communities based on anonymous behavior of user by using social honey pots.  ... 
doi:10.1007/978-81-322-1680-3_22 fatcat:zbmffnwkufabrp3d6a5dd444ei

Topical Community Detection in Event-based Social Network [article]

Houda Khrouf, Raphaël Troncy
2018 arXiv   pre-print
In reality, a community in event-based social network (ESBN) is a group of users not only sharing common events and friends, but also having similar topical interests.  ...  In this paper, we propose to leverage the users' activities around events with the aim to detect communities based on topical clustering and link analysis that maximize a new form of semantic modularity  ...  Community detection is considered as a major topic for analyzing social networks which has recently received a great attention.  ... 
arXiv:1803.04354v1 fatcat:66n6ag6dtvgjpo7yywpjg7gcxu

A Survey on Information Diffusion in Online Social Networks: Models and Methods

2017 Information  
Therefore, online social networks can reflect the structure of offline human society. A piece of information can be exchanged or diffused between individuals in social networks.  ...  By now, personal life has been invaded by online social networks (OSNs) everywhere. They intend to move more and more offline lives to online social networks.  ...  They proposed a method that combines links, topics, and sentiment to find different communities with a different topic distribution. It also explains the structure of overlap communities.  ... 
doi:10.3390/info8040118 fatcat:2wfp6uomnjg5bekiouqhacnzpm

Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review

Sami Al-Yazidi, Jawad Berri, Mohammed Al-Qurishi, Majed Al-Alrubaian
2020 IEEE Access  
Online Social Networks (OSNs) are an integral part of the modern lifestyle, and the use of OSN is highly prevalent today.  ...  We conducted a Systematic Literature Review to collect, analyze, and synthesize data on the accuracy and value of previous literature that has focused on this field, has addressed a variety of topics,  ...  The author proposed the extension of this work in two ways: adding weights to links in the network and adapting the approach to address overlapping communities. For performance measurement, Zhou et al  ... 
doi:10.1109/access.2020.2999033 fatcat:ms3kq4noknd4hfxxxgdxli5ow4

Mining Social Interaction Data in Virtual Worlds [chapter]

Syed Fahad Allam Shah, Gita Sukthankar
2015 Communications in Computer and Information Science  
social networks, and network evolution.  ...  This chapter presents techniques for inferring the existence of social links from unstructured conversational data collected from groups of participants in the Second Life virtual world.  ...  Acknowledgments Support for this research was provided by AFOSR YIP award FA9550-09-1-0525 and NSF IIS-08451.  ... 
doi:10.1007/978-3-662-46241-6_8 fatcat:ndynxtqo2rcq3hder5o46xpr5q

SocialTrust++: Building community-based trust in Social Information Systems

James Caverlee, Zhiyuan Cheng, Brian Eoff, Chiao-Fang Hsu, Krishna Kamath, Said Kashoob, Jeremy Kelley, Elham Khabiri, Kyumin Lee
2010 Proceedings of the 6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing  
Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable  ...  The overall research goal of the SocialTrust++ project is to develop, analyze, deploy, and test algorithms for building, enabling, and leveraging communitybased trust in Social Information Systems.  ...  the resource. • Integrated content and community-based resource exploration, so that users can browse from a candidate resource to other related resources through both the topic-based space (based on  ... 
doi:10.4108/icst.collaboratecom.2010.40 dblp:conf/colcom/CaverleeCEHKKKKL10 fatcat:t6dytjhuljb65gf43s2dtralze

Computation in Complex Networks

Clara Pizzuti, Annalisa Socievole
2021 Entropy  
The Special Issue on "Computation in Complex Networks" focused on gathering highly original papers in the field of current complex network research [...]  ...  Acknowledgments: We express our thanks to the authors of the above contributions, and to the journal Entropy and MDPI for their support during this work.  ...  node weight allocation problem and detecting the overlapping communities.  ... 
doi:10.3390/e23020192 pmid:33562478 fatcat:g2ad4eiupnaydp653k7hvzeqyu

Identifying active subgroups in online communities

Alvin Chin, Mark Chignell
2007 CASCON '07: Proceedings of the 2007 conference of the center for advanced studies on Collaborative research  
It is concluded that detection of active subgroups in online communities can be implemented widely using automated tools for analyzing the social networks implied by online interactions.  ...  is demonstrated in a case study involving the TorCamp Google group community.  ...  In carrying out the case study we examined the links between messages using a crawler and then analyzed the resulting social network.  ... 
doi:10.1145/1321211.1321249 dblp:conf/cascon/ChinC07 fatcat:ppgdrtljwndq3pzvch6dbiwlii
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