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Questions tagged [social-network-analysis]

Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).

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Name of this type of cross variable interaction Plot

In recent papers of Social Network Analysis , I have been observing this particular type of graph used increasingly. I looked for what they are called to replicate the graph, but couldn't find the ...
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28 views

Working with Stanford twitter datasets in R

I intend to use frequency data and sentiment analysis on the Stanford twitter data. I have a couple issues though. One is the size of the data, which I want to reduce, but how do i do this? A ...
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In network analysis, how do I count the number of nodes that “share” at least one edge?

I have created a network consisting of investors and companies using the Python library NetworkX: ...
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43 views

Are social network analysis and graph analytics the same thing?

Are social network analysis and graph analytics the same thing? If not, what are the differences? Is social network analysis perhaps a subset of graph analytics? Are they just modern extensions of ...
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1answer
26 views

Protein interaction prediction- how to input this data structure

I know the basics of machine learning and have quite an experience with time series data or data fed in a tabular format. But in the picture, the data is arranged as a graph. Is there a way to input ...
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1answer
26 views

How to retrieve Twitter username with UUID

I am trying to analyze FakeNewsNet which is a fake news dataset for Social Network Analysis. There are UUID(I am not sure about the entity name)s of users in the ...
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Drug with as many targets as possible through a system biology graph?

I have 4 pandas data frames containing the following data: 1 - affinity_score1: affinity between each couple (Drug-Target) measured using tool1 2 - affinity_score2: affinity between each couple (Drug-...
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25 views

Does anyone have examples of using graph theory/network science in the field of Business Intelligence? [closed]

A lot of examples for the use of graph theory revolve around either social networks (which I understand are useful for business intelligence) or scientific/biological application. I am exploring the ...
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1answer
84 views

How to do hidden variable learning in Bayesian Network with Python?

I learned how to use libpgm in general for Bayesian inference and learning, but I do not understand if I can use it for learning with hidden variable. More precisely, I am trying to implement approach ...
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1answer
73 views

Twitter Retweet Network Visualization

I am trying to visualize retweet network in order to find out which users are most likely to have most influence on other users. Here is my code: ...
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Are they any technical SNA tutorials that focus on real-world business problems?

Most of the technical (e.g. NetworkX, iGraph, Gephi) SNA tutorials I see focus on "toy" examples. They show how to run various algorithms, but it's not clear what real problems these would solve---...
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12 views

Link Prediction based Similarity Indices

So, I was reading some Link Prediction based algorithms and similarity indices. I came across two random walk based indices - Local Random Walk(LRW) and Superposed Random Walk(SRW). I read the ...
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Representing a community as a vector

My setup is this: Suppose I have transactional data over a large period of time. The parties of each transaction are labled, and I use Louvain algorithm for detecting communities (and sub-communities)...
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Seminal papers about analysis and application based on publicly released data [closed]

The US government releases a lot of varied data here. Data science and data analytics have greatly matured over the last decade varying from Cambridge Analytica on one extreme to Google/Amazon Ads ...
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Is network a discrete dynamical system?

Consider any network, say network of flights between many cities or Internet or brain or social network. Is it correct to say that it can be considered as discrete dynamical system provided we have an ...
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Is there a way to combine both ties (nondirected edges) and wins/losses (directed edges) in a single social network?

I'm currently building social networks for small colonies of animals which I've observed, with the aim of comparing changes in social network structure in response to changes in certain environmental ...
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1answer
19 views

Voting patterns similarities

I'm interested in any research materials on voting patterns. I have a data set of how PMs (members of parliament) voted in my country during last couple of years. Each PM has 3 buttons: Yes, No, ...
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Can we access social media advertisements and information like how many likes, comments, shares they received using their APIs?

I want to access social media advertisements and information about how popular they were ( how many likes, comments and shares they received and the comments). Can I get these information using these ...
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1answer
43 views

Extract details from bibliometrics data

I have set of bibliometrics data (references). I want to extract the author names, title and the name of the conference/journal from it. Since the referencing style used by different papers vary, I am ...
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38 views

Echo-Effect-Metric Network

I have been working on data science project where I am trying to build a metric for how inbred a source is in a network. We hope to apply this to intelligence reporting, in which documents tend to ...
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3answers
470 views

Building a Citation Network to Analyze in R

I am working on network analysis project at one of our Nation's Service Academies, and I need a little help. As a starting point, we are looking at a citation network that we build by using the ...
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1answer
132 views

Identify social users using graph embeddings

I have a social network and I want to identify the most social people in the graph. In a typical graph experiments this could have done using different network features. However, I recently came ...
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1answer
30 views

On Creating an Interoperable Network Matrix

Complete self taught novice here. Question Are there any popular standards, or commonly used formats for representing/saving/sharing/serializing a network? Background I built a simple but very ...
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2answers
212 views

Why an eigenvector might be reasonable notion of centrality

Using adjacency matrix to represent a connection between node i and node j, 1 means connected and 0 means not connected. Using eigenvector to represent the centrality means the more nodes with high ...
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3answers
217 views

Visualizing community composition using network of pie charts

Given a social network, I want to perform community detection and compare the result to known node metadata, such as gender, age, etc. to see if certain communities are largely composed of "similar" ...
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1answer
335 views

Can we apply community detection algorithms for word vector space?

As I understand we can apply community detection algorithms such as Louvain to detect communities in a social network (i.e. involves people). But I am quite interested in knowing if we can use the ...
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2answers
829 views

how can i collect data set from social networks like instagram?

My name is Reza, a Master Student at Golestan University of Technical and engineering, Iran and my M.Sc. thesis is about detect fake account on social networks. so i need data set. how can i collect ...
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1answer
48 views

How do I calculate for each person in the network how many people agree with their opinion?

I have a signed bipartite graph in which the nodes are (1) students and (2) topics. An edge is drawn between a student and topic node if the student mentions their opinion about the topic in a short ...
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1answer
104 views

In what data science applications has the stack exchange dump been used?

Anonymized dumps of the stack exchange data are available here. Do you know projects or article that have been using these data (for social network analysis or information retrieval) ? My little ...
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2answers
191 views

In a directed graph, how to measure whether a node is more “upstream” or “downstream”?

Let's say that I have a directed graph, and for each node I want to have some measure of whether it is more of an "upstream" node (that lies at the beginning of many paths), or a "downstream" node (to ...
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1answer
52 views

Can I use sentiment analysis techniques and text processing for detection social bot in online social networks? [closed]

I want to study in field of " Detecting fake account on online social network by content/sentiment analysis " for Master's Thesis.is this possible?
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1answer
137 views

Clustering Multiple Networks

I'm looking for methods of Community Detection in networks. For example if I have a network of 100 people (each node is a person), how can I cluster nodes? What would be the best approach for grouping ...
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2answers
51 views

Why do we do citation analysis?

Pardon my question if it seems too general... I'm new to networks in general, but recently I came across a type of network called citations network. However, I couldn't figure out why we do citation ...
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1answer
85 views

Weighted degree in Multidimensional networks

Does there exist a definition for weighted degrees of multidimensional networks? I understand that the basic definition would be: Let $v\in V$ be a node of a network $G=(N,V,L)$. The function ...
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0answers
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Measuring connectivity between clusters in an organizational network in R

I'm trying to conceptualize a network analysis problem and figure out where to start in terms of analysis techniques in R. Apologies as I'm fairly new to all this. Basically, I have a employee ...
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28 views

How to detect multiple handles used by the same individual?

Suppose a person (John Doe) uses different user names (handles) in different circumstances (for simplicity, let us limit the conversation to a single social network, e.g., ...
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1answer
156 views

How to get Real life Social Network Data?

I am trying to build a case study for Insurance fraud detection using SNA. I have already looked around and build my model using Stanford's SNAP and other similar databases available on the internet ...
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2answers
64 views

Data Science Groups on Linked In

I am interested in joining some Data Science Groups on Linked In. The relevant list is long. I don't think it is to my advantage to join all, but I am not sure how to evaluate the individual group's ...
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1answer
153 views

Network Visualization - R code - Which Package is needed?

I'm trying to create a network visualization to study the flights to and from a certain airport. My data consists of 123000 rows in this format: ...
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1answer
43 views

software for workflow integrating network analysis, predictive analytics, and performance metrics [closed]

I am hoping that there is some existing software for what I want to accomplish, as I'm not a big fan of reinventing the wheel. In general, I would like a software package that can serve as a workflow ...
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1answer
2k views

NameError: name 'MyStreamListener' is not defined

I'd import 'tweepy' package for accessing twitter data for analysis and visualization in Python. Afterwards I did setup oauth authentication and everything else but on the next step, which is ...
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1answer
250 views

Network Analysis using R

I've the following dataset: **Strenght Movie1 Movie2** 23 2 3 80 1 2 10 4 3 And I want to ...
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3answers
168 views

Need to prepare the data to Link Analysis project?

I've a dataset with following schema: ...
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0answers
380 views

graph database and its clustering

An undirected graph represents a database where nodes of the graph represent tables, edges represent the joiner columns. There are 100 databases( it means, 100 undirected graphs). We have to build ...
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3answers
2k views

How cluster a twitter data-set?

I have a twitter data-set and I wanna extract their related topics. So, I decided to classify my Tweets into clusters using an unsupervised machine learning algorithm like k-means. This choice is made ...
5
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3answers
131 views

How can I discover topics in a social media data-set?

I'm working on a project and i need to discover topics existing in a social media data set. For instance, i wanna extract the topics existing on 200K tweets. Any one recommend to me any machine ...
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0answers
41 views

How do I interpret the results of weighted clique percolation if communities are subsuming (not overlapping)?

I am conducting a network text analysis as part of a systematic literature review of social network analysis in computer-supported learning. My nodes are terms in the included studies, and the ties ...
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1answer
59 views

Predicting future from posts in social networks

Is there any research indicatng that it is possible to predict future (some events or objective economic parameters like currencies exchange rates) from posts on social networks (comments, twits, ...
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2answers
1k views

How can i add weights in a bag of words model in text analysis?

I have a twitter sentiment analysis using bag of word approach from the training set. Now i want to add weights to certain words so that they are considered more important than others.
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2answers
182 views

Finding groups of friends in social network data

I have some social network data in which I'd like to identify people who belong to a group of 5 friends. These are users who are friends with 4 other people who all are also friends with each other. ...