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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1answer
13 views

NLP: Getting the top 5 or top 10 predictions

I am working on a social networking application and I have to make its news feed better. For example: If someone searches for 'suggest me some good books', it should yield some names. Now, I have ...
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17 views

Label Propagation for weighted graph

I am working on "community detection" on a big network graph and I've been using the Label Propagation Algorithm from GraphFrames (Spark package). However, my graph is weighted and I was wondering ...
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Using network analysis on group chat membership?

I have a dataset of membership in club group chats for a couple hundred college students, and I am trying to analyze the relationships between the different groups. Is there any way I could use ...
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1answer
40 views

measuring flip-flop behaviour across several topics

I'm trying to analyze a behavior called "sentiment flipping" of users in a dataset, but I'm not able to step on. Let's suppose that I have two groups of users, say them good and bad users. My ...
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12 views

Correlation between (average daily) impressions and user response ratio in social media

I'm doing a preliminary study on data from a (niche) social media platform. Studying the correlations between impressions of an object (aka views), interactions (aka likes, comments, ...) and their ...
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1answer
29 views

Twitter Dataset

I have found the following dataset, apparently it is the largest tweet dataset: https://www.kaggle.com/kazanova/sentiment140 However, I am looking for a dataset of tweets, with columns containing: ...
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1answer
24 views

Retrieving follower and followee (friend) counts using Twitter API

I want to retrieve Twitter users' follower and followee (friend) count using Twitter API. (I am reluctant with using a crawler ...
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1answer
44 views

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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46 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
45 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
38 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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44 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
283 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
283 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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17 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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89 views

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
23 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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14 views

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
55 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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47 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
862 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
174 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
36 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
290 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
411 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
391 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
898 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
49 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
106 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
270 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
65 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
186 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
54 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
46 views

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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0answers
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
165 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
164 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
44 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
3k 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
285 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
197 views

Need to prepare the data to Link Analysis project?

I've a dataset with following schema: ...
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476 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 ...
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3answers
139 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 ...