Questions related to Social Networks
I have a very generic question, more prone to be a discussion. As you know, the number of papers devoted to modular networks (networks with communities or partitioned networks) is increasing. The majority of research is about detection of communities. My curiosity is the following: There are papers dealing with the problem of ranking nodes across communities. For instance, a generic ranking can be obtained as an aggregate form of rankings locally obtained within each community (using some centrality measures). When you aggregate rankings obtained within different communities, you can use for instance "primus inter pares" style. For instance, you can compare nodes in different communities only if they have earned the same rank in their different communities. This is a simple idea and, for sure, not the unique idea. I have been searching for papers dealing with those types of conceptualisation or applications on modular networks but I haven't found very much on this issue. For instance, Something similar is done when they compare teams in different European football leagues (communities) since they have to form "qualification groups" for the final part of the Champions league (across communities). But they use scores obtained within the specific football league. Thanks very much for your attention.
I'm a computer engineering student with specialization in software engineering and data science
and soon I have to write my proposal for my master's thesis , would be appreciated a lot if the experts of field would lend me their knowledge and insight to help me in choosing a problem to work on or where to search and look and read in order to be able to detect and work on a problem for my thesis.
Thanks a lot in advance.
I'm trying to analyze some publications on social networks in order to map publications that report urban problems and, thus, analyze urban areas that are affected by similar problems.
We are currently working on a paper where we discuss how far the planning and interventions in cities nowadays ( masterplans, regeneration plans) include decisions based on the analysis/findings obtained from social media data. There is quite a lot of research that has been done, reports, and so on that concur on the fact that these data are rather helpful for the diagnosis and prediction of numerous urban dynamics and for decision and policy making... but so far we find only very few examples (to our knowledge) where these approaches have been indeed implemented in a master plan and executed. We are wondering if there is a published example/report/study that considers social media data for diagnosis/prediction and has had an impact on actual planning decisions... Thanks in advance for your help!
We note that more and more hikers are using Apps, social networks or other technologies to support their hiking activities. Are there differences between technological hikers and classic hikers? What do they use these technologies for? Are they useful?
We are conducting a research about the language use of Manobo students on social media specifically facebook, twitter and instagram. Your input could surely enhance the said endeavor.
Thank you very much!
Can anyone please elucidate the difference between Euclidean and Non-Euclidean Space? I have seen some literatures where they haver mentioned social networks, sensor networks etc as examples of non-euclidean spaces. Is a power grid also an example of non-Euclidean?
What is your suggestion for analyzing social networks in urban studies? Have you experienced such research? How should such an analysis be started?
The theory of social capital in the social sciences is well developed, considering not only sociology, but also political science and economics. However, in the modern world, which is called the period of formation and development of digital society, the question arises as to whether digital capital can exist? As a form of social capital, as a structure that reproduces social inequalities, as a mechanism for the institutionalization of social (and maybe digital?) Relations. What do you think about it? And how can digital capital be conceptualized in sociology?
At Karlsruhe Institute of Technology (KIT), we are running a study to understand how people use social networks these days. If you have a Facebook account and you want to learn something new and reflect about your online activity, we invite you to be an active part of this research taking our survey:
im working on my master thesis im prom farmwork and i've applied social network plug-ings on my event log and im only getting a single dot.
i converted the xslx data to csv myself and also made sure there is no blank rows. Do you know what i might be doing wrong?
I work on field spreaders in multiplex networks. I need a database to do more experiments. It would be better if the database is on social networks with fewer nodes and five layers.
If all human beings are united by the Internet and social networks, wars can be considered much more difficult as there will be plenty of information among the citizens who support the rulers.
Is still using of social networks just for communicate and sometime to waste time or it became most important source to get advice and some significant findings after you are being a researcher now? Did you change the way you use social platforms as researcher? Did you get the benefit from the experts in your field on these platforms ?
For my doctoral research, I have a dataset of 8 teams, with 2 teams each from 4 organizations, and I am checking peer centrality in team advice networks using centrality. These are directed networks. I have created adjacency matrices and each matrix has 12 to 30 nodes.
- Should I test each team network individually or club them to get organizational correlations? Should be there any other partition applied?
- What should be my main considerations when working with visualization of small networks?
3.I used the Yi-Fan Hu layout (output) for betweenness centrality related to general workplace advice when I ran the first trials. What should I be using for best rendering?
4. What tests should I run and should I report it in writing?
I have started writing an article related to "Narcissism" and its effect on "Social Media". Can anyone suggest a good quality journal where I can submit it. Basically, it will be a systematic literature review paper.
I do not finish my writing yet, so I am not able to share my title or abstract yet.
I am going to carry out an investigation to study the relationship between the use of social networks by Spanish adults and other lifestyle variables.
I would like to know what is in your opinion the best instrument (scale, questionnaire, ...) to understand the use of social networks by Spanish adults and why.
I would also like to know the name of the instrument and if it has been validated
Thank you very much for your participation.
The growing economic importance of social networks calls for the classification of their users into categories that help us understand their preferences, motivations, and behaviors. The Web reveals many blog posts identifying numerous types of users, classified into categories that express criteria such as their intervention profiles, their objectives and motivations, or the time they dedicate to social networks. However, to the best of my knowledge, there are no serious scientific studies on the subject. Does anyone know of any such scientific studies? What classification criteria have they identified?
I would like to ask for your opinion on The Academic Times website / portal.
Recently, they contacted me to publish a short note about the research I'm doing. I noticed that the site is quite active on major social networks and describes research conducted by many leading research centers.
I wonder what is the reputation of this website and credibility. Do you know their business model? Actually, very little information about the company itself is available on their website.
Thank you for your help!
Hello all, surprisingly (to me) most of the research on social networks and poverty seems come out of the Europe, Asia and Latin America. In addition to Robert Putnam, is there anyone else you know doing case studies in the USA?
See for example and for comparison.
Gabora, L., & Russon, A. (2011). The evolution of human intelligence. In R. Sternberg & S. Kaufman (Eds.),The Cambridge handbook of intelligence (pp. 328-350). doi:10.1017/CBO9780511977244.018
Literature about human intelligence often focuses on the evolution of the human brain. But the theory of intelligence and rate of thought articles mentioned above suggest that networking plays a more significant role. In that view, language is a means for harnessing the vast energy and neuronal resources of networked brains, permitting transmission, reception storing and reprocessing of ideas originating in one brain or one group of brains by another brain or group of brains.
What evidence supports the two alternatives? Do the alternatives both figure in the answer?
Principles of Social Networking: The New Horizon and Emerging Challenges
It is our pleasure to invite you to contribute a chapter in this book within its scope mentioned below.
Website http://cs.nits.ac.in/social_networking/ Submission link https://easychair.org/conferences/?conf=psn20200 Abstract Submission May 25, 2020 Full Chapter Submission August 25, 2020
This is an edited (multi-authored) book titled "Principles of Social Networking: The New Horizon and Emerging Challenges" in collaboration with Springer and the International Federation of Information Processing (IFIP) TC 12 to be published (Final approval is pending) under IFIP-AICT series, Springer.
Tentative List of Topics
- Introduction to Social Networking
- Network Modelling, Visualization and Analyzing Tools
- Role of Centrality in Social Networks
- Community detection in Social Networks
- Link prediction in Social Networks
- Information diffusion and Epidemics
- Influence propagation and Influence Maximization
- Privacy and cybersecurity
- Social Recommender Systems
- Misinformation, Fake News and Rumor Detection
- Social Reputation, Influence, and Trust
- Targeted Advertisement and Viral Marketing
- Review Mining and Rating
- Sentiment Analysis and Public Opinion Mining
- Deep learning techniques for social networking
- Data collection and quality from Social Media
- Big data and scalability in Social Networks
- Social geography and spatial networks
- Multirelational, multidimensional, multi-aspect, multilayer networks
Editors of the Book Dr. Anupam Biswas, National Institute of Technology Silchar, Dr. Ripon Patgiri, National Institute of Technology Silchar, Dr. Bhaskar Biswas, Indian Institute of Technology (BHU) Varanasi. Publication All accepted book chapter will be published in IFIP-AICT book series. IFIP-AICT will be indexed in Springer, SCOPUS, Web of Science, DBLP and other databases. Contact All questions about submissions should be emailed email@example.com, firstname.lastname@example.org.
I need a small help and support in following topic,
"Current challenges in control of complex social multi-networks? : problem of intersectional inequality in social networks"
can anyone please suggest me few important points or literature to review and understand the problem statement more clear. I would be really thankful🙏
I need a tool in order to extract posts from facebook-pages of professional soccer clubs including all of the comments in an effective manner.
I tried to export the whole website as a PDF, but it doesn't provide me with enough comments and the website design gets completely thrown over.
I am still a student, so freeware would be very good for my purse.
I need datasets for my research on Anomaly detection in Social Networks. Attributed(Feature) social network datasets is actually required with ground truth anomalies.
The altmetrics score takes into account the interactions between the general public, via social networks, and the research community. It gives another value to scientific research, it allows the research community to measure even with uncertainties the level of societal appreciation. In this context, I would like to know its effectiveness.
For a few years now, I have dedicated a part of my research and publications to the problem of hate speech on social networks. I am currently outlining a new article on that. There is something that makes me worried. It seems obvious that there are easily labelable and traceable hate speeches (especially in cyberspace with the help of automatic word processing software). Many published works provide today relevant data that allows detecting hate speech and identifying potentially criminal users masked under pseudo anonymity.
My concern is whether there would be another way to better approach hate speech without departing from purely scientific objectives, without contributing to the materialization of a kind of Linguistic Court willing to rule on the acceptability of expressions, perhaps in order to cleaning, fixing and giving “splendour” to digital language, improving, incidentally, the public image of social platforms and regulating the coexistence in cyberspace in such a way that only “good people” could participate ?
The truth is that, in addition to those speeches that explicitly express hatred, there is an untraceable, ungrammaticalizable hatred that resists both Logic and Empiricism. The question I ask you is if there is someone else who, like me, fears the risks of such practices of identifying "bad speeches" that could be used to purify the language, limiting freedom of expression? (sorry for my English, which is a language I use very rarely)
I would like to know if it is possible to use SAOMs (Stochastic actor oriented models) to analyse weighted networks?
Thank you in advance,
Has it increased for all platforms, or do we see increased usage of some platforms while the usage is declining for others?
Enterprise Social Networks (ESNs) are online social networks that are used to share business interests and/or activities among the corporate world. This is similar to the use of Facebook, Instagram, Twitter etc. in our personal lives. Companies implement ESNs to allow smooth communication and collaboration amongst employees or with external stakeholders, information exchange and for updates and tracking.
My research is on social networks and for this, I need data from a popular social network like Facebook. Twitter data cannot serve my purpose. Can anyone please suggest a way to get Facebook data for some specific users?
How to scrap public data using users' profile URL?
N.B. As far as I know, scrapping public Facebook data is legal. Please enlighten me if I am wrong.
During the last 10-11 months almost all countries have been fighting against the most terrible pandemic in the last 100 years. Many things have changed, among them, the teaching and learning process: how in your country and/or your institution have faced the difficulties, imposed by the pandemic to the HE sector? Has the Distance Education been a significant factor in looking for solutions?
I would like to know if it is currenly possible to use temporal ERGMs (Exponential Random Graph Models) for analyzing weighted networks?
For now, it seems that software packages available to analyse TERGMs (tergm or btergm) only use binary networks.
Thanks in advance for your answer,
The information industry have created a new species, Homo online. Members of this species are connected to various communication systems all the time: they communicate for the sake of communication. It is normal to communicate with other people, but to be constantly online is mentally exhausting and it hinders the development of an independent person. I could not read or write efficiently and with pleasure without silencing the devices around me that could interrupt my thoughts at any moment and for any reason. But Homo online has prevailed, and Homo sapiens has become a species in extinction.
I'm recently working on developing a method that adopts the low conductance algorithm, yet, I'm interested to know the other opinions about this issue.
As we know there are 2 type of knowledge, tacit and explicit. Usually an organization will try to capture or codify tacit knowledge, so it will become organizational knowledge. That is the origin of management of knowledge is use for. But we also know that while the people interact within the organization making a social network, slowly their knowledge will be disseminate using tacit to tacit transfer. Maybe it is possible to sum or recreate a person knowledge from his/her peer/social network.
Is there any method to quantify this kind of knowledge storage? Or in the other hand, it is possible to make a methodology to quantify it so it also become an organizational knowledge?
We are studying the Ministry of Health utilization of Twitter for communicating information about COVID-19, and assessing the tweets by using the Crisis and Emergency Risk Communication (CERC) framework.
My question is how to decide when the initial phase ends and the Maintenance phase starts and when does the resolution phase start? I could not conclude that based on the definition of each phase.
“The maintenance phase generally begins when most or all of the direct harm is contained, and the intensity of the crisis begins to subside. As one crisis communicator commented, “You know you have reached the maintenance phase when you get to go home and take a shower.” Communication objectives during this phase include the following”.
“when most or all of the direct harm is contained, and the intensity of the crisis begins to subside”
How does this apply to coivd19 pandemic? when does the maintenance phase start ? Should we base it for example on the end of curfew and going back to work with (Masks, keeping distance ..etc.)? should we consider the number of cases ?
I am interested in a software tool for extracting data from social networks based on geographic characteristics. Purpose - analysis to obtain data on the mood of the population.
I am more interested to know quantitative techniques for assessing social network. IN this regard-
1. is there any existing model/theoretical framework?
2. which is/are appropriate software package to assess the said network?
Microbrewing continues to expand across the globe with many US communities utilizing breweries as new social venues to meet-greet and participate in social activities. What do you perceive as interesting research questions related to brewing science as well as the interaction and impact to local communities?
I am looking for a database where social networking sites statistics such as facebook, twitter etc are available for Australian companies. Has anyone an idea whether something like that exists and/or if there is a software which will extract that data?
Seeking the equivalent to a social networks structure graph for online scholarly article mentions.
I am a postgraduate student doing a dissertation research in relationship marketing. I am looking for volunteer expert on media and social network to answer to a quick questionnaire related to how social networking may affect audience behavior. If you are interested, just send me an email to email@example.com Thanks in advance Best Regards, Florian
Im looking for research that uses position generator measures of social capital, developed by Lin & Dumin (1986), or similar information (social ties on a set of predefined occupations) using software specifically designed for network analysis (Ucinet mainly).
Lin, N., & Dumin, M. (1986). Access to occupations through social ties. Social Networks, 8(4), 365-385
I am looking for some social network datasets that each node contains a binary opinion toward some certain issues, like political position, public issues or positive/negative thoughts toward any kind of topic. And the dataset records everyone's opinion across a certain range of time.
For example, a Twitter social network with an opinion score for each user and edges between users represent follower/followee relationships. I want to do some research to learn the difference between timestamps and how opinions change over time.
I think that this may cross the field of social networks and sentimental analysis.
Thanks a lot!
Hello i am ms.c student and i am doing my research, but i can't find a suitable database for my research . I spent a lot of time searching for one. I need a data set for a social network such as twitter or Facebook that include all types of crimes( steal, killing,etc.) and terrorism . I need a classified data set that saying that person is criminal or not.
I am interested in this information as I myself consider the use of GPS devices in my PhD project on social networks of the Hadza.
I think the questions are fairly straightforward, so I won't add too much, but a social network is only useful if a lot of people use it, and while there's certainly activity on RG, it seems to be fairly limited. Admittedly, the academic community is much smaller than the community as a whole, but I still think RG could be a larger social network.
Let G = (V,E) is a graph, we have to pick K vital nodes in the network that are capable to spread the information throughout the network. So, how we can define? Either we are going to pick set of key players or K individual players.
Research paper is attached here and link is also given.
- Ortiz-Arroyo, D. (2010). Discovering sets of key players in social networks. In Computational social network analysis (pp. 27-47). Springer, London.
Let's talk about what is our self else than your memories (if all set of information that we've got is a different type of memories)?
This question is to lead a discussion on the methods to find-out any linkages exist between social networks and routines such as coastal agriculture and fisheries?
I am looking to find contemporary (2005 and onward) LGBTQ+ literature/texts (novels, poems, digital literature, correspondence, social media writers) by Ecuadorian writers (preferably LGBTQ+ too, but not a must), and/or academic articles that deal with the topic. Aside from a wikipedia page, I was not able to retrieve a lot of information. Has anybody here worked on this topic in the past?
Busco literatura/textos contemporáneos (2005 y adelante) escritotos por escritor@s ecuatorian@s -- que sean novelas, poemas, literatura digital, cartas, literatura en las redes sociales...). También busco artículos académicos que trabajan el tema de la literatura LGBTQ+ en el Ecuador de hoy en día. No encontré mucha información a parte de un sitio wikipedia. ?Alguién ha investigado esa temática y podría decirme por dónde empezar?
Goodmorning, I am a student who has to develop her thesis for a master's degree in marketing. I would like to analyze the phenomenon of newsjacking, used by brands on various social networks. I'd like to conduct a content analysis, both on Instagrm and on Facebook. Is it possible to do it on two different social networks within the same research?
I'm going to analyze social networks.
I need dataset that has different activities (interaction and non-interaction).
Dataset such as Facebook, Twitter, Opinions, Instagram, YouTube and more.
Thank you in advance.
I'm considering the use of social network simulation to evaluate different theories that effect information diffusion as a subset of transactive memory systems (these systems are used as a meta-dictionary - telling people (Individuals, groups, organizations, etc) where to find expertise...They also have a role in decision making when a "pattern" is detected a relatively quick decision is made...
Develop some characteristics of social-interaction networks, and discuss their role in determining learning, diffusion, decisions, and resulting behaviors. Discuss also the challenges of accounting for the networks in assessing the relationship between the patterns of interactions and behaviors.
I think I can study this behavior with some actions like:
following the trend challenges
posting on Instagram about trend news (to have a reaction about trend news I mean)
What do you think?
would you please inform me about this?
I have a social network(graph) of group of people in which all nodes considered as individual person and links between them shows, if the communication established between them. Here i would like to identify most centralized node in that network using genetic algorithm. Is that possible?
I am writing my master thesis topics in the field of digital transformation. I would like to do a qunatitiative topic. However, most of the research gaps that I have found so far would require a qualitative research design. My initial research question was the following: how digital transformation influences the relationship between structural holes in social networks and the innovative performance of the firm. But I realized that it would be quite difficult to finish within the given tight time frame (3-5 months) as getting date on social networks can be quite difficult.
Therefore I would like to change my research questions within digital transformation. Does anyone know a great database from which I could get some data and investage the effect pf DT on it? (the effect of DT on firm performance could be an example, but this topic has been researched many times already.)
All the answers are highly appreciated.
I am looking for qualitative research methods, which can be used to map children's (10-14 years old) social networks. I am particularly interested in social networks related to gaming, but obviously tools/methods could be adtopted. One example could be simply asking children to draw a map of their network of fellow gamers as a part of an interview. Any examples or ideas will be much appreciated!
I'm recently working on a topic that requires an effective technique for social system modeling. What are the well-known techniques for modeling the social system in an organization?
Hello! I am a student from Russia. Now i am working on my thesis on factor that affect income of models in fashion industry. It seems as you research experience on celebrity question somehow intercepts with my topic. So i am looking for theoretical justification of such factors (height, weight, followers in social networks, portfolio quality etc.)
We are proposing a projected titled ``Framework for the mitigation of the spread of rumors in Online social networks.'' the main objective of the project is the proposal of a frame work that is able to mitigate the propagation of rumors in online social networks.The project requires several discipline from different field in computer science, where different compounds of project are illustrated in the proposed figure and listed as follows:
Data collection: As in any problem that deals with data mining, machine learning, or artificial intelligent, the data is the primary resource the investigate any problem. Thus, this step is one the first and significant steps in framework. The main objective is to develop method and algorithm to extract data from online social networks. Then, it requires structuring these data in order the facilitate their storage and exploitation.
Rumor detection: This step has the objective to detect rumors that are spreading in OSNs. In order to accomplish this task four steps as distinguishable, which are: Rumor classification, Rumor tracking, Stance Classification, and Veracity classification.
Study and analysis of rumor propagation process main objective is to study the dynamic propagation process of rumors in online social networks. this component highlights the the influence or the impact of different factors on the propagation of the rumors. These factors could be related the human factors such as: human individuals and social behaviors, or factors inherent to the networks structure.
Rumor influence minimization compounds aims to stop the propagation of rumors in online social networks.
If you have interested this project, I sincerely invite you to follow it: https://www.researchgate.net/project/Framework-for-the-mitigation-of-the-spread-of-rumors-in-Online-social-networks.
For more information or further collaboration please visit our website: https://hosniaie.wixsite.com/hosni-aie
Please contact us at :
Any collaboration is welcome in this project, we are looking forward to working with you.
I need to get basic idea about how to implement influence based models for information diffusion on online social networks as reserach papers only provide theoretical aspects only.
I want to implement Linear threshold model, independent cascade model and game theory model for information diffusion